Model vs model
GPT-6.1 Terra vs Claude Haiku 4.5
GPT-6.1 Terra and Claude Haiku 4.5 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 GPT-6.1 Terra page, OpenRouter's Claude Haiku 4.5 page. Updated .
Short answer
They cost the same in llmwise: up to 250 messages a month on Pro on either. Beyond that, they read the same files and neither is easier to try. In our test runs, GPT-6.1 Terra passed 48 of the 50 prompts both answered and Claude Haiku 4.5 43; 7 prompts split them, most on coding (5 to 3).
GPT-6.1 Terra vs Claude Haiku 4.5, prompt by prompt
Every prompt GPT-6.1 Terra and Claude Haiku 4.5 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 42, only GPT-6.1 Terra passed 6, only Claude Haiku 4.5 passed 1, and neither passed 1. GPT-6.1 Terra answered sooner on 17 of the 50 and Claude Haiku 4.5 on 24; the rest were within 10% of each other. The 50 replies cost $0.0345 on GPT-6.1 Terra and $0.0741 on Claude Haiku 4.5: 2.1× less on GPT-6.1 Terra.
The 7 prompts only one of GPT-6.1 Terra and Claude Haiku 4.5 passed
Evaluate an arithmetic expression, no eval (coding): GPT-6.1 Terra passed and Claude Haiku 4.5 didn't. GPT-6.1 Terra: All 15 tests passed. Claude Haiku 4.5: 14 of 15 tests passed. First failure: evaluate("-2 ^ 2"): Expected values to be strictly deep-equal:
Parse CSV with quoted fields (coding): GPT-6.1 Terra passed and Claude Haiku 4.5 didn't. GPT-6.1 Terra: All 8 tests passed. 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:
A product announcement with five rules (writing): GPT-6.1 Terra passed and Claude Haiku 4.5 didn't. GPT-6.1 Terra: Graded 4.0 of 5 on average (lowest 3). Claude Haiku 4.5: Graded 3.7 of 5 on average (lowest 3).
Average order value in August (data analysis): GPT-6.1 Terra passed and Claude Haiku 4.5 didn't. GPT-6.1 Terra: Final answer 300.00: right. Claude Haiku 4.5: Final answer 275.00; expected 300.
Correlation between ad spend and sign-ups (data analysis): GPT-6.1 Terra passed and Claude Haiku 4.5 didn't. GPT-6.1 Terra: Final answer 0.97: right. Claude Haiku 4.5: Final answer 0.99; expected 0.97.
A late order (customer support): Claude Haiku 4.5 passed and GPT-6.1 Terra didn't. GPT-6.1 Terra: Graded 3.7 of 5 on average (lowest 1). Claude Haiku 4.5: Graded 5.0 of 5 on average (lowest 5).
A message with a planted instruction (customer support): GPT-6.1 Terra passed and Claude Haiku 4.5 didn't. GPT-6.1 Terra: Graded 4.7 of 5 on average (lowest 4). Claude Haiku 4.5: Graded 4.3 of 5 on average (lowest 3); but 165 words, over the 150 allowed.
Job by job, the widest gaps first
Data analysis: GPT-6.1 Terra passed 5 of 5 and Claude Haiku 4.5 3 of 5. GPT-6.1 Terra answered 1.1× sooner at the median, 2.4 s against 2.7 s. GPT-6.1 Terra cost 3.1× less, $0.0041 against $0.0125 for the 5 replies. Claude Haiku 4.5's replies ran 409% longer, in tokens of reply, thinking not counted.
Coding: GPT-6.1 Terra passed 5 of 5 and Claude Haiku 4.5 3 of 5. Claude Haiku 4.5 answered 1.9× sooner at the median, 4.6 s against 2.3 s. GPT-6.1 Terra cost 2.0× less, $0.0068 against $0.0137 for the 5 replies. Claude Haiku 4.5's replies ran 111% longer, in tokens of reply, thinking not counted.
Writing: GPT-6.1 Terra passed 5 of 5 and Claude Haiku 4.5 4 of 5. Claude Haiku 4.5 answered 1.1× sooner at the median, 2.5 s against 2.2 s. GPT-6.1 Terra cost 1.8× less, $0.0031 against $0.0057 for the 5 replies. Claude Haiku 4.5's replies ran 32% longer, in tokens of reply, thinking not counted.
Math: GPT-6.1 Terra passed 5 of 5 and Claude Haiku 4.5 5 of 5. GPT-6.1 Terra answered 1.2× sooner at the median, 1.9 s against 2.2 s. GPT-6.1 Terra cost 2.9× less, $0.0027 against $0.0077 for the 5 replies. Claude Haiku 4.5's replies ran 200% longer, in tokens of reply, thinking not counted.
Customer support: GPT-6.1 Terra passed 3 of 5 and Claude Haiku 4.5 3 of 5. Their median waits were close, 2.6 s against 2.7 s. GPT-6.1 Terra cost 2.3× less, $0.0032 against $0.0073 for the 5 replies. Claude Haiku 4.5's replies ran 160% longer, in tokens of reply, thinking not counted.
RAG and answering from documents: GPT-6.1 Terra passed 5 of 5 and Claude Haiku 4.5 5 of 5. GPT-6.1 Terra answered 1.2× sooner at the median, 1.0 s against 1.2 s. GPT-6.1 Terra cost 2.1× less, $0.0024 against $0.0050 for the 5 replies. Claude Haiku 4.5's replies ran 136% longer, in tokens of reply, thinking not counted.
Translation: GPT-6.1 Terra passed 5 of 5 and Claude Haiku 4.5 5 of 5. Claude Haiku 4.5 answered 1.7× sooner at the median, 3.1 s against 1.8 s. GPT-6.1 Terra cost 2.1× less, $0.0036 against $0.0074 for the 5 replies. Claude Haiku 4.5's replies ran 95% longer, in tokens of reply, thinking not counted.
Agents and tool use: GPT-6.1 Terra passed 5 of 5 and Claude Haiku 4.5 5 of 5. Claude Haiku 4.5 answered 1.3× sooner at the median, 1.5 s against 1.1 s. GPT-6.1 Terra cost 2.0× less, $0.0024 against $0.0047 for the 5 replies. Claude Haiku 4.5's replies ran 99% longer, in tokens of reply, thinking not counted.
SQL: GPT-6.1 Terra passed 5 of 5 and Claude Haiku 4.5 5 of 5. Claude Haiku 4.5 answered 1.2× sooner at the median, 1.5 s against 1.2 s. GPT-6.1 Terra cost 1.6× less, $0.0031 against $0.0049 for the 5 replies. Their replies ran to about the same length.
Summarization: GPT-6.1 Terra passed 5 of 5 and Claude Haiku 4.5 5 of 5. GPT-6.1 Terra answered 1.1× sooner at the median, 1.5 s against 1.7 s. GPT-6.1 Terra cost 1.6× less, $0.0032 against $0.0051 for the 5 replies. Their replies ran to about the same length.
All 50 prompts: who passed, who answered sooner, who cost less
| Prompt | Result | Sooner | Cheaper |
|---|---|---|---|
| Turn a title into a URL slug | Both passed | Claude Haiku 4.5, 1.6×took 2.4 s and 1.5 s | GPT-6.1 Terra, 1.5×cost $0.0006 and $0.0010 |
| Parse a duration like “1h 30m” | Both passed | Claude Haiku 4.5, 2.3×took 5.5 s and 2.3 s | GPT-6.1 Terra, 1.2×cost $0.0018 and $0.0022 |
| Merge overlapping intervals | Both passed | Claude Haiku 4.5, 1.3×took 2.5 s and 2.0 s | GPT-6.1 Terra, 2.7×cost $0.0006 and $0.0017 |
| Evaluate an arithmetic expression, no eval | Only GPT-6.1 Terra | GPT-6.1 Terra, 1.7×took 4.6 s and 7.6 s | GPT-6.1 Terra, 2.8×cost $0.0020 and $0.0056 |
| Parse CSV with quoted fields | Only GPT-6.1 Terra | Claude Haiku 4.5, 1.3×took 4.7 s and 3.5 s | GPT-6.1 Terra, 1.9×cost $0.0017 and $0.0033 |
| Announce a second bakery shop on LinkedIn | Both passed | Claude Haiku 4.5, 1.1×took 2.9 s and 2.6 s | GPT-6.1 Terra, 1.8×cost $0.0007 and $0.0013 |
| Rewrite corporate jargon in plain words | Both passed | Claude Haiku 4.5, 1.3×took 2.2 s and 1.6 s | Closecost $0.0008 and $0.0008 |
| Decline a meeting and offer two times | Both passed | Claude Haiku 4.5, 1.3×took 2.5 s and 2.0 s | GPT-6.1 Terra, 2.2×cost $0.0005 and $0.0010 |
| A product announcement with five rules | Only GPT-6.1 Terra | GPT-6.1 Terra, 1.5×took 1.4 s and 2.2 s | GPT-6.1 Terra, 2.7×cost $0.0004 and $0.0012 |
| Argue both sides of free buses | Both passed | Closetook 3.3 s and 3.4 s | GPT-6.1 Terra, 1.9×cost $0.0007 and $0.0014 |
| A discount, then sales tax | Both passed | Closetook 1.2 s and 1.1 s | GPT-6.1 Terra, 1.9×cost $0.0004 and $0.0007 |
| Pens at 3 for $4 | Both passed | Claude Haiku 4.5, 1.4×took 3.1 s and 2.2 s | GPT-6.1 Terra, 2.5×cost $0.0006 and $0.0014 |
| Compound interest over three years | Both passed | GPT-6.1 Terra, 1.3×took 2.6 s and 3.5 s | GPT-6.1 Terra, 2.6×cost $0.0005 and $0.0013 |
| Four-digit numbers whose digits sum to 9 | Both passed | GPT-6.1 Terra, 1.7×took 1.7 s and 2.9 s | GPT-6.1 Terra, 3.8×cost $0.0006 and $0.0024 |
| The highest of three dice is a 5 | Both passed | GPT-6.1 Terra, 1.2×took 1.9 s and 2.2 s | GPT-6.1 Terra, 3.2×cost $0.0006 and $0.0018 |
| An article in three bullets | Both passed | GPT-6.1 Terra, 1.2×took 1.5 s and 1.8 s | GPT-6.1 Terra, 1.9×cost $0.0006 and $0.0011 |
| An email thread in one sentence | Both passed | Claude Haiku 4.5, 2.2×took 2.9 s and 1.3 s | GPT-6.1 Terra, 1.7×cost $0.0004 and $0.0007 |
| Decisions and action items from a meeting | Both passed | Claude Haiku 4.5, 1.5×took 2.6 s and 1.7 s | GPT-6.1 Terra, 1.1×cost $0.0010 and $0.0011 |
| A quarterly memo for the CEO | Both passed | Closetook 1.4 s and 1.5 s | GPT-6.1 Terra, 1.8×cost $0.0007 and $0.0012 |
| A study with a negative result | Both passed | GPT-6.1 Terra, 2.7×took 1.2 s and 3.4 s | GPT-6.1 Terra, 1.9×cost $0.0005 and $0.0010 |
| The region with the most revenue | Both passed | GPT-6.1 Terra, 1.1×took 2.4 s and 2.7 s | GPT-6.1 Terra, 3.9×cost $0.0007 and $0.0026 |
| Average order value in August | Only GPT-6.1 Terra | Closetook 2.2 s and 2.1 s | GPT-6.1 Terra, 3.8×cost $0.0006 and $0.0023 |
| Revenue change from July to August | Both passed | GPT-6.1 Terra, 1.8×took 2.3 s and 4.2 s | GPT-6.1 Terra, 2.8×cost $0.0008 and $0.0022 |
| A median, filtered two ways | Both passed | Claude Haiku 4.5, 1.3×took 2.5 s and 2.0 s | GPT-6.1 Terra, 2.9×cost $0.0006 and $0.0016 |
| Correlation between ad spend and sign-ups | Only GPT-6.1 Terra | GPT-6.1 Terra, 1.5×took 3.3 s and 5.0 s | GPT-6.1 Terra, 2.7×cost $0.0014 and $0.0037 |
| A late order | Only Claude Haiku 4.5 | Claude Haiku 4.5, 1.3×took 2.6 s and 2.0 s | GPT-6.1 Terra, 2.1×cost $0.0007 and $0.0014 |
| A return inside the window | Both passed | GPT-6.1 Terra, 1.4×took 1.7 s and 2.4 s | GPT-6.1 Terra, 2.5×cost $0.0005 and $0.0013 |
| A frustrated customer | Neither passed | Closetook 2.7 s and 3.0 s | GPT-6.1 Terra, 2.5×cost $0.0006 and $0.0016 |
| A refund request outside the window | Both passed | Closetook 2.9 s and 2.7 s | GPT-6.1 Terra, 1.8×cost $0.0007 and $0.0013 |
| A message with a planted instruction | Only GPT-6.1 Terra | GPT-6.1 Terra, 1.3×took 2.4 s and 3.2 s | GPT-6.1 Terra, 2.6×cost $0.0007 and $0.0018 |
| A delivery message into Spanish | Both passed | Claude Haiku 4.5, 2.2×took 3.3 s and 1.5 s | GPT-6.1 Terra, 1.5×cost $0.0008 and $0.0011 |
| A product description into French | Both passed | Claude Haiku 4.5, 2.1×took 2.9 s and 1.4 s | GPT-6.1 Terra, 1.6×cost $0.0007 and $0.0011 |
| A meeting note into German | Both passed | Claude Haiku 4.5, 1.7×took 3.1 s and 1.8 s | GPT-6.1 Terra, 1.6×cost $0.0006 and $0.0010 |
| Idioms into natural Japanese | Both passed | GPT-6.1 Terra, 1.9×took 1.8 s and 3.3 s | GPT-6.1 Terra, 3.2×cost $0.0006 and $0.0019 |
| A lease clause into Brazilian Portuguese | Both passed | Closetook 3.5 s and 3.5 s | GPT-6.1 Terra, 2.5×cost $0.0009 and $0.0022 |
| Customers in one country | Both passed | GPT-6.1 Terra, 1.2×took 0.9 s and 1.1 s | GPT-6.1 Terra, 1.7×cost $0.0004 and $0.0007 |
| Count orders by status | Both passed | Claude Haiku 4.5, 1.4×took 1.2 s and 0.8 s | GPT-6.1 Terra, 1.6×cost $0.0004 and $0.0006 |
| Revenue by category | Both passed | Claude Haiku 4.5, 1.2×took 1.5 s and 1.2 s | GPT-6.1 Terra, 1.9×cost $0.0005 and $0.0011 |
| Every customer, even those without orders | Both passed | GPT-6.1 Terra, 1.3×took 1.6 s and 2.1 s | GPT-6.1 Terra, 1.9×cost $0.0005 and $0.0010 |
| Monthly revenue with a running total | Both passed | Claude Haiku 4.5, 2.6×took 4.3 s and 1.6 s | GPT-6.1 Terra, 1.3×cost $0.0012 and $0.0016 |
| A fact from one section | Both passed | Closetook 1.0 s and 1.1 s | GPT-6.1 Terra, 2.0×cost $0.0005 and $0.0009 |
| Core hours and start times | Both passed | GPT-6.1 Terra, 1.2×took 1.0 s and 1.1 s | GPT-6.1 Terra, 1.9×cost $0.0005 and $0.0009 |
| Two sections in one answer | Both passed | GPT-6.1 Terra, 1.4×took 1.0 s and 1.3 s | GPT-6.1 Terra, 2.2×cost $0.0005 and $0.0011 |
| A later amendment changes the answer | Both passed | Closetook 2.0 s and 1.9 s | GPT-6.1 Terra, 2.3×cost $0.0005 and $0.0012 |
| A question the handbook doesn't answer | Both passed | Claude Haiku 4.5, 1.2×took 1.4 s and 1.2 s | GPT-6.1 Terra, 2.1×cost $0.0004 and $0.0009 |
| Pick the tool and work out the date | Both passed | Claude Haiku 4.5, 1.4×took 1.5 s and 1.1 s | GPT-6.1 Terra, 1.9×cost $0.0004 and $0.0008 |
| Convert a currency | Both passed | Claude Haiku 4.5, 1.2×took 1.2 s and 1.0 s | GPT-6.1 Terra, 2.2×cost $0.0004 and $0.0008 |
| Book a meeting from a sentence | Both passed | Claude Haiku 4.5, 1.2×took 1.5 s and 1.2 s | GPT-6.1 Terra, 1.9×cost $0.0005 and $0.0010 |
| Search, but don't book | Both passed | Claude Haiku 4.5, 1.8×took 2.0 s and 1.1 s | GPT-6.1 Terra, 1.9×cost $0.0005 and $0.0010 |
| Two calls with a unit conversion | Both passed | Claude Haiku 4.5, 1.7×took 2.1 s and 1.2 s | GPT-6.1 Terra, 1.9×cost $0.0005 and $0.0011 |
GPT-6.1 Terra vs Claude Haiku 4.5 in our test runs
GPT-6.1 Terra and Claude Haiku 4.5 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 .
| Job | GPT-6.1 Terra | Claude Haiku 4.5 |
|---|---|---|
| Coding | 5 of 5 | 3 of 5 |
| Writing | 5 of 5 | 4 of 5 |
| Math | 5 of 5 | 5 of 5 |
| Summarization | 5 of 5 | 5 of 5 |
| Data analysis | 5 of 5 | 3 of 5 |
| Customer support | 3 of 5 | 3 of 5 |
| Translation | 5 of 5 | 5 of 5 |
| SQL | 5 of 5 | 5 of 5 |
| RAG and answering from documents | 5 of 5 | 5 of 5 |
| Agents and tool use | 5 of 5 | 5 of 5 |
| All jobs | 48 of 50 · 1 message each · $0.0007 a reply | 43 of 50 · 1 message each · $0.0015 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.
GPT-6.1 Terra
Passed: All 15 tests passed.
```javascript function evaluate(expression) { if (typeof expression !== "string") { throw new Error("Expression must be a string"); } let position = 0; function peek() { while (position < expression.length && /\s/.test(expression[position])) { position++; } return expression[position]; } function parsePrimary() { if (peek() === "(") { position++; const value = parseSum(); if (peek() !== ")") throw new Error("Expected closing parenthesis"); position++; return value; } const match = /^(?:\d+(?:\.\d*)?|\.\d+)/.exec(expression.slice(position)); if (!match) throw new Error("Expected a number or parenthesis"); position += match[0].length; return Number(match[0]); } function parsePower() { const base = parsePrimary(); if (peek() === "^") { position++; return base ** parseUnary(); } return base; } function parseUnary() { if (peek() === "-") { position++; return -parseUnary(); } return parsePower(); } function parseProduct() { let value = parseUnary(); while (peek() === "*" || peek() === "/") { const operator = expression[position++]; const right = parseUnary(); value = operator === "*" ? value * right : value / right; } return value; } function parseSum() { let value = parseProduct(); while (peek() === "+" || peek() === "-") { const operator = expression[position++]; const right = parseProduct(); value = operator === "+" ? value + right : value - right; } return value; } const result = parseSum(); if (peek() !== undefined) throw new Error("Unexpected character"); return result; } ```723 tokens in, 659 out (242 of them reasoning) · 4.6 s · $0.0020 · 1 message on Pro · answered by openai/gpt-6.1-terra via OpenAI ·
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 ·
GPT-6.1 Terra and Claude Haiku 4.5 on every plan
Each plan's messages on it. Every plan starts with a 2-day free trial.
| Plan | Price | GPT-6.1 Terra | Claude Haiku 4.5 |
|---|---|---|---|
| Plus | $10 a month | Up to 125 a month | Up to 125 a month |
| Pro | $20 a month | Up to 250 a month | Up to 250 a month |
| Max | $50 a month | Up to 800 a month | Up to 800 a month |
| Ultra | $100 a month | Up to 1,800 a month | Up to 1,800 a month |
| Studio | $200 a month | Up to 4,000 a month | Up to 4,000 a month |
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: Plus $3.75, 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
They cost the same in llmwise: up to 250 messages a month on Pro on either.
Context window
GPT-6.1 Terra takes up to 1.05M tokens; Claude Haiku 4.5 up to 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.
Images and PDFs
Both read images. Both take a PDF as the whole file, pages and all.
Free trial
GPT-6.1 Terra and Claude Haiku 4.5 are both in the 2-day free trial of Plus or Pro.
Where messages go
GPT-6.1 Terra: Sent to OpenAI directly. Claude Haiku 4.5: Sent to Anthropic directly.
Fact by fact
| Fact | GPT-6.1 Terra | Claude Haiku 4.5 |
|---|---|---|
| Context window | 1.05M tokens | 200K tokens |
| Reads images | Yes | Yes |
| PDFs | Whole file | Whole file |
| Reasoning | Yes | No |
| API price (October 2026) | $1.00 in / $5.00 out per million tokens | $1.00 in / $5.00 out per million tokens |
| A typical message at API prices (4,000 tokens in, 700 out) | $0.0075 | $0.0075 |
| A $10 top-up adds | 200 messages | 200 messages |
| Where a message goes | Sent to OpenAI directly. | Sent to Anthropic directly. |
| If the provider fails | If OpenAI fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to GPT-6.1 Terra through OpenRouter instead. | If 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. |
| Anthropic's safety fallback | Doesn't apply | Doesn't apply |
GPT-6.1 Terra or Claude Haiku 4.5?
From the facts above and our test runs: the rest is how their answers suit your work, which one chat can show you.
On the facts llmwise keeps, GPT-6.1 Terra and Claude Haiku 4.5 are level: same count, same files, same context. Pick the one whose answers you prefer.
Each model's page, the families, and other pairs
GPT-6.1 Terra vs Claude Haiku 4.5 is one pair of models. The pages below cover the whole families.
- GPT-6.1 Terra: price, limits and messages on every plan
- Claude Haiku 4.5: price, limits and messages on every plan
- Claude Haiku vs ChatGPT
- Claude vs ChatGPT
- GPT-6.1 Sol vs GPT-6.1 Terra
- GPT-6.1 Terra vs GPT-6 Luna
- GPT-6.1 Terra vs Gemini 3.8 Flash
- Claude Haiku 5.5 vs Claude Haiku 4.5
- Claude Fable 5.1 vs Claude Haiku 4.5
- Claude Opus 5.5 vs Claude Haiku 4.5
- Every model-vs-model page
GPT-6.1 Terra is a GPT model; Claude Haiku 4.5 is a Claude model.
Questions
Is GPT-6.1 Terra or Claude Haiku 4.5 cheaper in llmwise?
They cost the same in llmwise: up to 250 messages a month on Pro on either. Every paid plan's monthly allowance is shared by the models on it, so each count is the most you get if it all goes to that model.
Can I try GPT-6.1 Terra and Claude Haiku 4.5 for free?
For 2 days, yes: GPT-6.1 Terra and Claude Haiku 4.5 are both in the 2-day free trial of Plus or Pro. Add a card at checkout; cancel before the trial ends and you pay nothing. One free trial per person.
Which has the bigger context window, GPT-6.1 Terra or Claude Haiku 4.5?
GPT-6.1 Terra: 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 GPT-6.1 Terra and Claude Haiku 4.5 in the same chat?
Yes. Pick GPT-6.1 Terra for one message and Claude Haiku 4.5 for the next; the second sees the whole chat, including the first one's answer.
Which did better in your test runs, GPT-6.1 Terra or Claude Haiku 4.5?
On the same 50 prompts, run on October 27, 2026, GPT-6.1 Terra passed 48 and Claude Haiku 4.5 passed 43. The table on this page has each job, and every reply is published.
Claude, GPT, Gemini, DeepSeek, Grok, Kimi, GLM, and Mistral, in one chat.
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