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Model vs model

Claude Haiku 4.5 vs GLM 5.3 Flash

Claude Haiku 4.5 and GLM 5.3 Flash are both in llmwise. What each gets on every plan, what it reads, how it's served and what happens when its provider fails, from the catalog and the code that runs them.

Model prices and specs checked against OpenRouter's Claude Haiku 4.5 page, OpenRouter's GLM 5.3 Flash page. Updated .

Short answer

GLM 5.3 Flash is an everyday model (60 messages a day on Pro); Claude Haiku 4.5 draws on the monthly allowance (up to 250 messages a month on Pro). Otherwise, only Claude Haiku 4.5 reads a PDF as the whole file. In our test runs, Claude Haiku 4.5 passed 43 of the 50 prompts both answered and GLM 5.3 Flash 40; 11 prompts split them, most on coding (3 to 5).

Claude Haiku 4.5 vs GLM 5.3 Flash, prompt by prompt

Every prompt Claude Haiku 4.5 and GLM 5.3 Flash both answered, compared directly, their biggest differences first. One run each, through OpenRouter: a wait depends on the provider and the load that day, so a lead under 10% counts as close.

Of the 50 prompts both answered, both passed 36, only Claude Haiku 4.5 passed 7, only GLM 5.3 Flash passed 4, and neither passed 3. Claude Haiku 4.5 answered sooner on 41 of the 50 and GLM 5.3 Flash on 6; the rest were within 10% of each other. The 50 replies cost $0.0741 on Claude Haiku 4.5 and $0.0096 on GLM 5.3 Flash: 7.7× less on GLM 5.3 Flash.

The 11 prompts only one of Claude Haiku 4.5 and GLM 5.3 Flash passed

  • Evaluate an arithmetic expression, no eval (coding): GLM 5.3 Flash passed and Claude Haiku 4.5 didn't. Claude Haiku 4.5: 14 of 15 tests passed. First failure: evaluate("-2 ^ 2"): Expected values to be strictly deep-equal: GLM 5.3 Flash: All 15 tests passed.

  • Parse CSV with quoted fields (coding): GLM 5.3 Flash passed and Claude Haiku 4.5 didn't. Claude Haiku 4.5: 5 of 8 tests passed. First failure: parseCsv('"line1\nline2",end\r\nnext,row\r\n'): Expected values to be strictly deep-equal: GLM 5.3 Flash: All 8 tests passed.

  • Rewrite corporate jargon in plain words (writing): Claude Haiku 4.5 passed and GLM 5.3 Flash didn't. Claude Haiku 4.5: Graded 4.3 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 3.3 of 5 on average (lowest 3).

  • Argue both sides of free buses (writing): Claude Haiku 4.5 passed and GLM 5.3 Flash didn't. Claude Haiku 4.5: Graded 4.0 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 4.7 of 5 on average (lowest 4); but a paragraph of 92 words, over the 90 allowed.

  • An article in three bullets (summarization): Claude Haiku 4.5 passed and GLM 5.3 Flash didn't. Claude Haiku 4.5: Graded 4.0 of 5 on average (lowest 3). GLM 5.3 Flash: Graded 4.7 of 5 on average (lowest 4); but 61 words, over the 60 allowed.

  • An email thread in one sentence (summarization): Claude Haiku 4.5 passed and GLM 5.3 Flash didn't. Claude Haiku 4.5: Graded 4.7 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 3.7 of 5 on average (lowest 3).

  • Average order value in August (data analysis): GLM 5.3 Flash passed and Claude Haiku 4.5 didn't. Claude Haiku 4.5: Final answer 275.00; expected 300. GLM 5.3 Flash: Final answer 300.00: right.

  • A late order (customer support): Claude Haiku 4.5 passed and GLM 5.3 Flash didn't. Claude Haiku 4.5: Graded 5.0 of 5 on average (lowest 5). GLM 5.3 Flash: Graded 3.7 of 5 on average (lowest 3).

  • A refund request outside the window (customer support): Claude Haiku 4.5 passed and GLM 5.3 Flash didn't. Claude Haiku 4.5: Graded 4.7 of 5 on average (lowest 4). GLM 5.3 Flash: Graded 4.0 of 5 on average (lowest 2).

  • A message with a planted instruction (customer support): GLM 5.3 Flash passed and Claude Haiku 4.5 didn't. Claude Haiku 4.5: Graded 4.3 of 5 on average (lowest 3); but 165 words, over the 150 allowed. GLM 5.3 Flash: Graded 4.7 of 5 on average (lowest 4).

  • Book a meeting from a sentence (agents and tool use): Claude Haiku 4.5 passed and GLM 5.3 Flash didn't. Claude Haiku 4.5: Made the 1 expected call. GLM 5.3 Flash: Expected create_event(attendees: ["priya@northwind.test"], duration_minutes: 30, start: "2026-10-08T15:00", title: {"contains":"Q4"}); got find_contact(name: "Priya Shah"); create_event(title: "Q4 plan review", start: "2026-10-08T15:00", duration_minutes: 30, attendees: ["priya@northwind.test"]).

Job by job, the widest gaps first

  • Coding: Claude Haiku 4.5 passed 3 of 5 and GLM 5.3 Flash 5 of 5. Claude Haiku 4.5 answered 3.6× sooner at the median, 2.3 s against 8.4 s. GLM 5.3 Flash cost 10.9× less, $0.0137 against $0.0013 for the 5 replies. Claude Haiku 4.5's replies ran 67% longer, in tokens of reply, thinking not counted.

  • Summarization: Claude Haiku 4.5 passed 5 of 5 and GLM 5.3 Flash 3 of 5. Claude Haiku 4.5 answered 2.4× sooner at the median, 1.7 s against 4.0 s. GLM 5.3 Flash cost 8.9× less, $0.0051 against $0.0006 for the 5 replies. Their replies ran to about the same length.

  • Writing: Claude Haiku 4.5 passed 4 of 5 and GLM 5.3 Flash 2 of 5. Claude Haiku 4.5 answered 3.8× sooner at the median, 2.2 s against 8.5 s. GLM 5.3 Flash cost 3.5× less, $0.0057 against $0.0016 for the 5 replies. Their replies ran to about the same length.

  • Customer support: Claude Haiku 4.5 passed 3 of 5 and GLM 5.3 Flash 2 of 5. Claude Haiku 4.5 answered 2.3× sooner at the median, 2.7 s against 6.2 s. GLM 5.3 Flash cost 7.5× less, $0.0073 against $0.0010 for the 5 replies. Their replies ran to about the same length.

  • Agents and tool use: Claude Haiku 4.5 passed 5 of 5 and GLM 5.3 Flash 4 of 5. Claude Haiku 4.5 answered 2.8× sooner at the median, 1.1 s against 3.2 s. GLM 5.3 Flash cost 7.3× less, $0.0047 against $0.0006 for the 5 replies. Claude Haiku 4.5's replies ran 67% longer, in tokens of reply, thinking not counted.

  • Data analysis: Claude Haiku 4.5 passed 3 of 5 and GLM 5.3 Flash 4 of 5. Claude Haiku 4.5 answered 3.6× sooner at the median, 2.7 s against 9.8 s. GLM 5.3 Flash cost 6.5× less, $0.0125 against $0.0019 for the 5 replies. Claude Haiku 4.5's replies ran 32% longer, in tokens of reply, thinking not counted.

  • Translation: Claude Haiku 4.5 passed 5 of 5 and GLM 5.3 Flash 5 of 5. Claude Haiku 4.5 answered 2.2× sooner at the median, 1.8 s against 4.1 s. GLM 5.3 Flash cost 15.0× less, $0.0074 against $0.0005 for the 5 replies. Claude Haiku 4.5's replies ran 81% longer, in tokens of reply, thinking not counted.

  • Math: Claude Haiku 4.5 passed 5 of 5 and GLM 5.3 Flash 5 of 5. Claude Haiku 4.5 answered 1.2× sooner at the median, 2.2 s against 2.7 s. GLM 5.3 Flash cost 10.2× less, $0.0077 against $0.0008 for the 5 replies. Claude Haiku 4.5's replies ran 135% longer, in tokens of reply, thinking not counted.

  • SQL: Claude Haiku 4.5 passed 5 of 5 and GLM 5.3 Flash 5 of 5. Claude Haiku 4.5 answered 1.2× sooner at the median, 1.2 s against 1.4 s. GLM 5.3 Flash cost 7.6× less, $0.0049 against $0.0006 for the 5 replies. Claude Haiku 4.5's replies ran 30% longer, in tokens of reply, thinking not counted.

  • RAG and answering from documents: Claude Haiku 4.5 passed 5 of 5 and GLM 5.3 Flash 5 of 5. Claude Haiku 4.5 answered 1.9× sooner at the median, 1.2 s against 2.2 s. GLM 5.3 Flash cost 6.6× less, $0.0050 against $0.0008 for the 5 replies. Claude Haiku 4.5's replies ran 23% longer, in tokens of reply, thinking not counted.

All 50 prompts: who passed, who answered sooner, who cost less
Claude Haiku 4.5 and GLM 5.3 Flash on each prompt of our test runs
PromptResultSoonerCheaper
Turn a title into a URL slugBoth passedClaude Haiku 4.5, 1.7×took 1.5 s and 2.6 sGLM 5.3 Flash, 14.2×cost $0.0010 and $0.0001
Parse a duration like “1h 30m”Both passedClaude Haiku 4.5, 3.5×took 2.3 s and 8.2 sGLM 5.3 Flash, 6.3×cost $0.0022 and $0.0003
Merge overlapping intervalsBoth passedClaude Haiku 4.5, 4.9×took 2.0 s and 9.6 sGLM 5.3 Flash, 7.0×cost $0.0017 and $0.0002
Evaluate an arithmetic expression, no evalOnly GLM 5.3 FlashClaude Haiku 4.5, 1.5×took 7.6 s and 11.1 sGLM 5.3 Flash, 16.0×cost $0.0056 and $0.0004
Parse CSV with quoted fieldsOnly GLM 5.3 FlashClaude Haiku 4.5, 2.4×took 3.5 s and 8.4 sGLM 5.3 Flash, 12.7×cost $0.0033 and $0.0003
Announce a second bakery shop on LinkedInBoth passedClaude Haiku 4.5, 15.4×took 2.6 s and 39.6 sGLM 5.3 Flash, 1.2×cost $0.0013 and $0.0011
Rewrite corporate jargon in plain wordsOnly Claude Haiku 4.5Claude Haiku 4.5, 3.1×took 1.6 s and 4.9 sGLM 5.3 Flash, 8.6×cost $0.0008 and $0.0001
Decline a meeting and offer two timesBoth passedClaude Haiku 4.5, 2.7×took 2.0 s and 5.3 sGLM 5.3 Flash, 6.4×cost $0.0010 and $0.0002
A product announcement with five rulesNeither passedClaude Haiku 4.5, 3.8×took 2.2 s and 8.5 sGLM 5.3 Flash, 8.3×cost $0.0012 and $0.0001
Argue both sides of free busesOnly Claude Haiku 4.5Claude Haiku 4.5, 3.2×took 3.4 s and 11.2 sGLM 5.3 Flash, 9.4×cost $0.0014 and $0.0001
A discount, then sales taxBoth passedClaude Haiku 4.5, 2.1×took 1.1 s and 2.4 sGLM 5.3 Flash, 8.6×cost $0.0007 and $0.0001
Pens at 3 for $4Both passedClaude Haiku 4.5, 6.8×took 2.2 s and 14.6 sGLM 5.3 Flash, 5.2×cost $0.0014 and $0.0003
Compound interest over three yearsBoth passedClaude Haiku 4.5, 1.4×took 3.5 s and 4.9 sGLM 5.3 Flash, 8.1×cost $0.0013 and $0.0002
Four-digit numbers whose digits sum to 9Both passedClosetook 2.9 s and 2.7 sGLM 5.3 Flash, 20.0×cost $0.0024 and $0.0001
The highest of three dice is a 5Both passedGLM 5.3 Flash, 2.4×took 2.2 s and 0.9 sGLM 5.3 Flash, 16.4×cost $0.0018 and $0.0001
An article in three bulletsOnly Claude Haiku 4.5Claude Haiku 4.5, 2.2×took 1.8 s and 4.0 sGLM 5.3 Flash, 10.8×cost $0.0011 and $0.0001
An email thread in one sentenceOnly Claude Haiku 4.5Claude Haiku 4.5, 3.0×took 1.3 s and 4.0 sGLM 5.3 Flash, 5.1×cost $0.0007 and $0.0001
Decisions and action items from a meetingBoth passedClaude Haiku 4.5, 1.1×took 1.7 s and 1.9 sGLM 5.3 Flash, 12.2×cost $0.0011 and $0.0001
A quarterly memo for the CEOBoth passedClaude Haiku 4.5, 5.4×took 1.5 s and 8.3 sGLM 5.3 Flash, 8.1×cost $0.0012 and $0.0001
A study with a negative resultBoth passedClosetook 3.4 s and 3.7 sGLM 5.3 Flash, 11.0×cost $0.0010 and $0.0001
The region with the most revenueBoth passedClaude Haiku 4.5, 3.2×took 2.7 s and 8.8 sGLM 5.3 Flash, 5.0×cost $0.0026 and $0.0005
Average order value in AugustOnly GLM 5.3 FlashClaude Haiku 4.5, 6.9×took 2.1 s and 14.5 sGLM 5.3 Flash, 6.3×cost $0.0023 and $0.0004
Revenue change from July to AugustBoth passedClaude Haiku 4.5, 2.3×took 4.2 s and 9.8 sGLM 5.3 Flash, 6.0×cost $0.0022 and $0.0004
A median, filtered two waysBoth passedClaude Haiku 4.5, 1.9×took 2.0 s and 3.7 sGLM 5.3 Flash, 13.7×cost $0.0016 and $0.0001
Correlation between ad spend and sign-upsNeither passedClaude Haiku 4.5, 3.9×took 5.0 s and 19.4 sGLM 5.3 Flash, 6.8×cost $0.0037 and $0.0005
A late orderOnly Claude Haiku 4.5Claude Haiku 4.5, 3.1×took 2.0 s and 6.2 sGLM 5.3 Flash, 5.3×cost $0.0014 and $0.0003
A return inside the windowBoth passedClaude Haiku 4.5, 2.6×took 2.4 s and 6.2 sGLM 5.3 Flash, 5.9×cost $0.0013 and $0.0002
A frustrated customerNeither passedClaude Haiku 4.5, 2.3×took 3.0 s and 6.8 sGLM 5.3 Flash, 10.2×cost $0.0016 and $0.0002
A refund request outside the windowOnly Claude Haiku 4.5GLM 5.3 Flash, 1.1×took 2.7 s and 2.4 sGLM 5.3 Flash, 8.0×cost $0.0013 and $0.0002
A message with a planted instructionOnly GLM 5.3 FlashClaude Haiku 4.5, 1.6×took 3.2 s and 5.2 sGLM 5.3 Flash, 10.0×cost $0.0018 and $0.0002
A delivery message into SpanishBoth passedClaude Haiku 4.5, 2.6×took 1.5 s and 3.9 sGLM 5.3 Flash, 12.0×cost $0.0011 and $0.0001
A product description into FrenchBoth passedClaude Haiku 4.5, 2.9×took 1.4 s and 4.1 sGLM 5.3 Flash, 12.6×cost $0.0011 and $0.0001
A meeting note into GermanBoth passedClaude Haiku 4.5, 2.3×took 1.8 s and 4.2 sGLM 5.3 Flash, 13.5×cost $0.0010 and $0.0001
Idioms into natural JapaneseBoth passedClaude Haiku 4.5, 1.4×took 3.3 s and 4.8 sGLM 5.3 Flash, 22.0×cost $0.0019 and $0.0001
A lease clause into Brazilian PortugueseBoth passedGLM 5.3 Flash, 2.6×took 3.5 s and 1.3 sGLM 5.3 Flash, 15.0×cost $0.0022 and $0.0001
Customers in one countryBoth passedClosetook 1.1 s and 1.2 sGLM 5.3 Flash, 5.0×cost $0.0007 and $0.0001
Count orders by statusBoth passedClaude Haiku 4.5, 2.6×took 0.8 s and 2.1 sGLM 5.3 Flash, 4.9×cost $0.0006 and $0.0001
Revenue by categoryBoth passedClaude Haiku 4.5, 2.1×took 1.2 s and 2.6 sGLM 5.3 Flash, 9.2×cost $0.0011 and $0.0001
Every customer, even those without ordersBoth passedGLM 5.3 Flash, 2.1×took 2.1 s and 1.0 sGLM 5.3 Flash, 8.8×cost $0.0010 and $0.0001
Monthly revenue with a running totalBoth passedGLM 5.3 Flash, 1.1×took 1.6 s and 1.4 sGLM 5.3 Flash, 10.1×cost $0.0016 and $0.0002
A fact from one sectionBoth passedGLM 5.3 Flash, 1.5×took 1.1 s and 0.7 sGLM 5.3 Flash, 4.6×cost $0.0009 and $0.0002
Core hours and start timesBoth passedClaude Haiku 4.5, 3.4×took 1.1 s and 3.9 sGLM 5.3 Flash, 4.1×cost $0.0009 and $0.0002
Two sections in one answerBoth passedClaude Haiku 4.5, 1.4×took 1.3 s and 1.9 sGLM 5.3 Flash, 10.4×cost $0.0011 and $0.0001
A later amendment changes the answerBoth passedClaude Haiku 4.5, 1.2×took 1.9 s and 2.2 sGLM 5.3 Flash, 8.7×cost $0.0012 and $0.0001
A question the handbook doesn't answerBoth passedClaude Haiku 4.5, 2.4×took 1.2 s and 2.9 sGLM 5.3 Flash, 9.3×cost $0.0009 and $0.0001
Pick the tool and work out the dateBoth passedClaude Haiku 4.5, 3.0×took 1.1 s and 3.2 sGLM 5.3 Flash, 14.7×cost $0.0008 and $0.0001
Convert a currencyBoth passedClaude Haiku 4.5, 3.0×took 1.0 s and 3.0 sGLM 5.3 Flash, 5.6×cost $0.0008 and $0.0001
Book a meeting from a sentenceOnly Claude Haiku 4.5Claude Haiku 4.5, 5.6×took 1.2 s and 6.8 sGLM 5.3 Flash, 6.4×cost $0.0010 and $0.0002
Search, but don't bookBoth passedClaude Haiku 4.5, 2.0×took 1.1 s and 2.3 sGLM 5.3 Flash, 12.1×cost $0.0010 and $0.0001
Two calls with a unit conversionBoth passedClaude Haiku 4.5, 2.8×took 1.2 s and 3.4 sGLM 5.3 Flash, 5.3×cost $0.0011 and $0.0002

Claude Haiku 4.5 vs GLM 5.3 Flash in our test runs

Claude Haiku 4.5 and GLM 5.3 Flash on the same prompts, job by job: how many replies passed their check.

Based on 100 of our test runs on , through OpenRouter with the app's own prompt and settings. Updated .

Claude Haiku 4.5 and GLM 5.3 Flash in our test runs, job by job
JobClaude Haiku 4.5GLM 5.3 Flash
Coding3 of 55 of 5
Writing4 of 52 of 5
Math5 of 55 of 5
Summarization5 of 53 of 5
Data analysis3 of 54 of 5
Customer support3 of 52 of 5
Translation5 of 55 of 5
SQL5 of 55 of 5
RAG and answering from documents5 of 55 of 5
Agents and tool use5 of 54 of 5
All jobs43 of 50 · 1 message each · $0.0015 a reply40 of 50 · 1 message each · $0.0002 a reply

The same prompts, sent to both through llmwise's own pipeline and checked the same way: five for each job. A bold count is the one that passed more. Messages: what each reply counted as on Pro. Cost: what OpenRouter charged us per reply, on average. Every prompt, and how it's scored.

Where they differed most, coding: both replies to a prompt only one of them passed.

A hard prompt: “Evaluate an arithmetic expression, no eval”, in full.

  • Claude Haiku 4.5

    Failed: 14 of 15 tests passed. First failure: evaluate("-2 ^ 2"): Expected values to be strictly deep-equal:

    ```javascript
    function evaluate(expression) {
      const tokens = tokenize(expression);
      const parser = new Parser(tokens);
      const result = parser.parseExpression();
      
      if (parser.pos !== tokens.length) {
        throw new Error("Unexpected tokens after expression");
      }
      
      return result;
    }
    
    function tokenize(expression) {
      const tokens = [];
      let i = 0;
      
      while (i < expression.length) {
        const ch = expression[i];
        
        if (/\s/.test(ch)) {
          i++;
          continue;
        }
        
        if (/\d/.test(ch)) {
          let num = '';
          while (i < expression.length && /[\d.]/.test(expression[i])) {
            num += expression[i];
            i++;
          }
          const parsed = parseFloat(num);
          if (isNaN(parsed)) {
            throw new Error(`Invalid number: ${num}`);
          }
          tokens.push({ type: 'NUMBER', value: parsed });
          continue;
        }
        
        if ('+-*/^()'.includes(ch)) {
          tokens.push({ type: ch, value: ch });
          i++;
          continue;
        }
        
        throw new Error(`Unexpected character: ${ch}`);
      }
      
      return tokens;
    }
    
    class Parser {
      constructor(tokens) {
        this.tokens = tokens;
        this.pos = 0;
      }
      
      peek() {
        return this.tokens[this.pos];
      }
      
      consume() {
        return this.tokens[this.pos++];
      }
      
      parseExpression() {
        return this.parseAddSub();
      }
      
      parseAddSub() {
        let left = this.parseMulDiv();
        
        while (this.peek() && (this.peek().type === '+' || this.peek().type === '-')) {
          const op = this.consume().type;
          const right = this.parseMulDiv();
          left = op === '+' ? left + right : left - right;
        }
        
        return left;
      }
      
      parseMulDiv() {
        let left = this.parsePower();
        
        while (this.peek() && (this.peek().type === '*' || this.peek().type === '/')) {
          const op = this.consume().type;
          const right = this.parsePower();
          left = op === '*' ? left * right : left / right;
        }
        
        return left;
      }
      
      parsePower() {
        let left = this.parseUnary();
        
        if (this.peek() && this.peek().type === '^') {
          this.consume();
          const right = this.parsePower();
          left = Math.pow(left, right);
        }
        
        return left;
      }
      
      parseUnary() {
        if (this.peek() && this.peek().type === '-') {
          this.consume();
          return -this.parseUnary();
        }
        
        if (this.peek() && this.peek().type === '+') {
          this.consume();
          return this.parseUnary();
        }
        
        return this.parsePrimary();
      }
      
      parsePrimary() {
        const token = this.peek();
        
        if (!token) {
          throw new Error("Unexpected end of expression");
        }
        
        if (token.type === 'NUMBER') {
          this.consume();
          return token.value;
        }
        
        if (token.type === '(') {
          this.consume();
          const result = this.parseExpression();
          
          if (!this.peek() || this.peek().type !== ')') {
            throw new Error("Missing closing parenthesis");
          }
          
          this.consume();
          return result;
        }
        
        throw new Error(`Unexpected token: ${token.value}`);
      }
    }
    ```

    599 tokens in, 1,007 out · 7.6 s · $0.0056 · 1 message on Pro · answered by anthropic/claude-haiku-4.5 via Amazon Bedrock ·

  • GLM 5.3 Flash

    Passed: All 15 tests passed.

    ```javascript
    function evaluate(expression) {
      let i = 0;
      const s = expression;
    
      function skipSpaces() {
        while (i < s.length && s[i] === ' ') i++;
      }
    
      function parseExpr() {
        let value = parseTerm();
        for (;;) {
          skipSpaces();
          if (s[i] === '+') { i++; value += parseTerm(); }
          else if (s[i] === '-') { i++; value -= parseTerm(); }
          else return value;
        }
      }
    
      function parseTerm() {
        let value = parseUnary();
        for (;;) {
          skipSpaces();
          if (s[i] === '*') { i++; value *= parseUnary(); }
          else if (s[i] === '/') { i++; value /= parseUnary(); }
          else return value;
        }
      }
    
      function parseUnary() {
        skipSpaces();
        if (s[i] === '-') { i++; return -parseUnary(); }
        return parsePower();
      }
    
      function parsePower() {
        const base = parsePrimary();
        skipSpaces();
        if (s[i] === '^') {
          i++;
          return Math.pow(base, parseUnary()); // right-assoc, allows 2^-1
        }
        return base;
      }
    
      function parsePrimary() {
        skipSpaces();
        if (s[i] === '(') {
          i++;
          const value = parseExpr();
          skipSpaces();
          if (s[i] !== ')') throw new Error("Expected ')'");
          i++;
          return value;
        }
        const start = i;
        while (i < s.length && s[i] >= '0' && s[i] <= '9') i++;
        if (i < s.length && s[i] === '.') {
          i++;
          while (i < s.length && s[i] >= '0' && s[i] <= '9') i++;
        }
        if (i === start || (i === start + 1 && s[start] === '.'))
          throw new Error('Invalid expression');
        return parseFloat(s.slice(start, i));
      }
    
      const result = parseExpr();
      skipSpaces();
      if (i !== s.length) throw new Error('Invalid expression');
      return result;
    }
    ```

    563 tokens in, 595 out (118 of them reasoning) · 11.1 s · $0.0004 · 1 message on Pro · answered by z-ai/glm-5.3-flash via AtlasCloud ·

Claude Haiku 4.5 and GLM 5.3 Flash on every plan

Whether the one-time free trial reaches each model, then each paid plan's messages on it.

Messages on Claude Haiku 4.5 and GLM 5.3 Flash, plan by plan
PlanPriceClaude Haiku 4.5GLM 5.3 Flash
Free$0In the one-time trial of 5 messagesIn the one-time trial of 5 messages
Pro$20 a monthUp to 250 a month60 a day
Max$50 a monthUp to 800 a month120 a day
Ultra$100 a monthUp to 1,800 a month200 a day
Studio$200 a monthUp to 4,000 a month200 a day

Prices don't include tax, which is added where it applies and shown before you pay. A paid plan's month is one allowance shared by every model, so each monthly count is the most you get if all of it goes to that model. It renews each billing period; everyday models refill daily at 00:00 UTC. Long chats count more per reply. How pricing works.

Every limit is published. Paid plans also have a monthly fair-use limit on AI cost: Pro $7.50, Max $20, Ultra $42, Studio $85. Using every message on your plan at typical sizes stays under it; very large messages and heavy research use it faster. Every limit, explained.

What differs

  • Messages on Pro

    GLM 5.3 Flash is an everyday model (60 messages a day on Pro); Claude Haiku 4.5 draws on the monthly allowance (up to 250 messages a month on Pro).

  • Context window

    Claude Haiku 4.5 takes up to 200K tokens; GLM 5.3 Flash up to 1.05M tokens. A chat in llmwise holds up to 200k tokens, which fits in either, so the difference shows only through each maker's own API.

  • Images and PDFs

    Both read images. GLM 5.3 Flash gets a PDF's text rather than the file itself.

  • On Free

    Both are in the free trial.

  • Where messages go

    Claude Haiku 4.5: Sent to Anthropic directly. GLM 5.3 Flash: Served through OpenRouter, only by hosts that don't store or train on prompts. The maker's own endpoint is never asked.

Fact by fact

Claude Haiku 4.5 and GLM 5.3 Flash, fact by fact
FactClaude Haiku 4.5GLM 5.3 Flash
Context window200K tokens1.05M tokens
Reads imagesYesYes
PDFsWhole fileText only
ReasoningNoYes
API price (September 2026)$1.00 in / $5.00 out per million tokens$0.15 in / $0.50 out per million tokens
A typical message at API prices (4,000 tokens in, 700 out)$0.0075$0.0010
A $10 top-up adds200 messagesNothing: an everyday model's count is daily
Where a message goesSent to Anthropic directly.Served through OpenRouter, only by hosts that don't store or train on prompts. The maker's own endpoint is never asked.
If the provider failsIf Anthropic fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to Claude Haiku 4.5 through OpenRouter instead.When one host is down, OpenRouter moves the request to another host that meets the same rules.
Anthropic's safety fallbackDoesn't applyDoesn't apply
API prices are what our model catalog lists (Claude: Anthropic's list price; GLM: Z.ai's list price). In llmwise you pay per message, not per token: the counts above are what you get.

Claude Haiku 4.5 or GLM 5.3 Flash?

From the facts above and our test runs: the rest is how their answers suit your work, which one chat can show you.

  • Pick Claude Haiku 4.5: it reads a PDF as the whole file, charts and scans included.

  • Pick GLM 5.3 Flash: its messages come from the daily count (60 messages a day on Pro), so they leave the monthly allowance for bigger models.

Each model's page, the families, and other pairs

Claude Haiku 4.5 vs GLM 5.3 Flash is one pair of models. The page below covers the whole families.

Questions

Is Claude Haiku 4.5 or GLM 5.3 Flash cheaper in llmwise?

GLM 5.3 Flash is an everyday model (60 messages a day on Pro); Claude Haiku 4.5 draws on the monthly allowance (up to 250 messages a month on Pro). Every paid plan's monthly allowance is shared by all models, so each count is the most you get if it all goes to that model.

Can I try Claude Haiku 4.5 and GLM 5.3 Flash for free?

Yes: both are in the free trial of 5 messages.

Which has the bigger context window, Claude Haiku 4.5 or GLM 5.3 Flash?

GLM 5.3 Flash: 1.05M tokens, against 200K tokens. A chat in llmwise holds up to 200k tokens, which fits in either, so the difference shows only through each maker's own API.

Can I use Claude Haiku 4.5 and GLM 5.3 Flash in the same chat?

Yes. Pick Claude Haiku 4.5 for one message and GLM 5.3 Flash for the next; the second sees the whole chat, including the first one's answer.

Which did better in your test runs, Claude Haiku 4.5 or GLM 5.3 Flash?

On the same 50 prompts, run on September 27, 2026, Claude Haiku 4.5 passed 43 and GLM 5.3 Flash passed 40. The table on this page has each job, and every reply is published.

Claude, GPT, Gemini, DeepSeek, Grok, Kimi, and GLM, in one chat.

See what a message costs before you send it. Free is 5 messages to try; sign in with an email link, no password or card.