Model vs model
Claude Haiku 5.5 vs GPT-6 Luna
Claude Haiku 5.5 and GPT-6 Luna 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 5.5 page, OpenRouter's GPT-6 Luna page. Updated .
Short answer
Both are everyday models: each message comes from Pro's 60 a day, so they cost the same. Beyond that, they read the same files and neither is easier to try. In our test runs, Claude Haiku 5.5 passed 45 of the 50 prompts both answered and GPT-6 Luna 47; 4 prompts split them, most on writing (3 to 5).
Claude Haiku 5.5 vs GPT-6 Luna, prompt by prompt
Every prompt Claude Haiku 5.5 and GPT-6 Luna 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 44, only Claude Haiku 5.5 passed 1, only GPT-6 Luna passed 3, and neither passed 2. Claude Haiku 5.5 answered sooner on 17 of the 50 and GPT-6 Luna on 20; the rest were within 10% of each other. The 50 replies cost $0.0118 on Claude Haiku 5.5 and $0.0059 on GPT-6 Luna: 2.0× less on GPT-6 Luna.
The 4 prompts only one of Claude Haiku 5.5 and GPT-6 Luna passed
Rewrite corporate jargon in plain words (writing): GPT-6 Luna passed and Claude Haiku 5.5 didn't. Claude Haiku 5.5: Graded 3.3 of 5 on average (lowest 2). GPT-6 Luna: Graded 4.7 of 5 on average (lowest 4).
Argue both sides of free buses (writing): GPT-6 Luna passed and Claude Haiku 5.5 didn't. Claude Haiku 5.5: Graded 4.0 of 5 on average (lowest 4); but a paragraph of 103 words, over the 90 allowed. GPT-6 Luna: Graded 4.3 of 5 on average (lowest 4).
Pens at 3 for $4 (math): Claude Haiku 5.5 passed and GPT-6 Luna didn't. Claude Haiku 5.5: Final answer Buy 3 packs of 3 and 1 single pen, costing 13.50: right. GPT-6 Luna: Final answer 2 bundles and 4 singles for 12; expected 13.5.
An email thread in one sentence (summarization): GPT-6 Luna passed and Claude Haiku 5.5 didn't. Claude Haiku 5.5: Graded 4.3 of 5 on average (lowest 4); but 39 words, over the 30 allowed. GPT-6 Luna: Graded 4.3 of 5 on average (lowest 3).
Job by job, the widest gaps first
Writing: Claude Haiku 5.5 passed 3 of 5 and GPT-6 Luna 5 of 5. Claude Haiku 5.5 answered 1.6× sooner at the median, 1.5 s against 2.4 s. GPT-6 Luna cost 1.6× less, $0.0008 against $0.0005 for the 5 replies. Claude Haiku 5.5's replies ran 92% longer, in tokens of reply, thinking not counted.
Summarization: Claude Haiku 5.5 passed 3 of 5 and GPT-6 Luna 4 of 5. Their median waits were close, 1.4 s against 1.5 s. GPT-6 Luna cost 3.4× less, $0.0016 against $0.0005 for the 5 replies. Claude Haiku 5.5's replies ran 68% longer, in tokens of reply, thinking not counted.
Math: Claude Haiku 5.5 passed 5 of 5 and GPT-6 Luna 4 of 5. Claude Haiku 5.5 answered 1.3× sooner at the median, 1.7 s against 2.2 s. GPT-6 Luna cost 1.5× less, $0.0007 against $0.0005 for the 5 replies. Claude Haiku 5.5's replies ran 166% longer, in tokens of reply, thinking not counted.
Customer support: Claude Haiku 5.5 passed 4 of 5 and GPT-6 Luna 4 of 5. GPT-6 Luna answered 1.4× sooner at the median, 1.9 s against 1.4 s. GPT-6 Luna cost 2.7× less, $0.0012 against $0.0004 for the 5 replies. Claude Haiku 5.5's replies ran 213% longer, in tokens of reply, thinking not counted.
SQL: Claude Haiku 5.5 passed 5 of 5 and GPT-6 Luna 5 of 5. Their median waits were close, 1.3 s against 1.2 s. GPT-6 Luna cost 2.5× less, $0.0011 against $0.0004 for the 5 replies. Claude Haiku 5.5's replies ran 72% longer, in tokens of reply, thinking not counted.
Data analysis: Claude Haiku 5.5 passed 5 of 5 and GPT-6 Luna 5 of 5. GPT-6 Luna answered 1.3× sooner at the median, 3.3 s against 2.5 s. GPT-6 Luna cost 2.0× less, $0.0018 against $0.0009 for the 5 replies. Claude Haiku 5.5's replies ran 157% longer, in tokens of reply, thinking not counted.
Translation: Claude Haiku 5.5 passed 5 of 5 and GPT-6 Luna 5 of 5. Their median waits were close, 1.4 s against 1.6 s. GPT-6 Luna cost 1.9× less, $0.0009 against $0.0005 for the 5 replies. Claude Haiku 5.5's replies ran 115% longer, in tokens of reply, thinking not counted.
RAG and answering from documents: Claude Haiku 5.5 passed 5 of 5 and GPT-6 Luna 5 of 5. Claude Haiku 5.5 answered 1.2× sooner at the median, 1.1 s against 1.3 s. GPT-6 Luna cost 1.8× less, $0.0007 against $0.0004 for the 5 replies. Claude Haiku 5.5's replies ran 139% longer, in tokens of reply, thinking not counted.
Agents and tool use: Claude Haiku 5.5 passed 5 of 5 and GPT-6 Luna 5 of 5. Claude Haiku 5.5 answered 1.8× sooner at the median, 1.0 s against 1.9 s. GPT-6 Luna cost 1.7× less, $0.0007 against $0.0004 for the 5 replies. Claude Haiku 5.5's replies ran 59% longer, in tokens of reply, thinking not counted.
Coding: Claude Haiku 5.5 passed 5 of 5 and GPT-6 Luna 5 of 5. Claude Haiku 5.5 answered 1.2× sooner at the median, 3.9 s against 4.6 s. GPT-6 Luna cost 1.6× less, $0.0023 against $0.0014 for the 5 replies. Claude Haiku 5.5's replies ran 71% longer, in tokens of reply, thinking not counted.
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 5.5, 1.6×took 1.5 s and 2.3 s | GPT-6 Luna, 1.6×cost $0.0001 and $0.0001 |
| Parse a duration like “1h 30m” | Both passed | GPT-6 Luna, 1.2×took 5.4 s and 4.6 s | GPT-6 Luna, 2.0×cost $0.0005 and $0.0003 |
| Merge overlapping intervals | Both passed | Claude Haiku 5.5, 1.1×took 1.3 s and 1.5 s | GPT-6 Luna, 1.5×cost $0.0002 and $0.0001 |
| Evaluate an arithmetic expression, no eval | Both passed | Claude Haiku 5.5, 2.2×took 3.9 s and 8.8 s | GPT-6 Luna, 1.1×cost $0.0006 and $0.0006 |
| Parse CSV with quoted fields | Both passed | GPT-6 Luna, 1.1×took 8.1 s and 7.2 s | GPT-6 Luna, 1.9×cost $0.0008 and $0.0004 |
| Announce a second bakery shop on LinkedIn | Both passed | GPT-6 Luna, 1.2×took 3.4 s and 2.9 s | GPT-6 Luna, 1.4×cost $0.0002 and $0.0001 |
| Rewrite corporate jargon in plain words | Only GPT-6 Luna | Claude Haiku 5.5, 1.9×took 1.3 s and 2.4 s | GPT-6 Luna, 1.2×cost $0.0001 and $0.0001 |
| Decline a meeting and offer two times | Both passed | Closetook 1.3 s and 1.3 s | GPT-6 Luna, 1.9×cost $0.0001 and $0.0001 |
| A product announcement with five rules | Both passed | Closetook 1.5 s and 1.5 s | GPT-6 Luna, 1.6×cost $0.0001 and $0.0001 |
| Argue both sides of free buses | Only GPT-6 Luna | GPT-6 Luna, 1.3×took 3.3 s and 2.5 s | GPT-6 Luna, 2.0×cost $0.0003 and $0.0001 |
| A discount, then sales tax | Both passed | Claude Haiku 5.5, 2.5×took 1.3 s and 3.1 s | GPT-6 Luna, 1.1×cost $0.0001 and $0.0001 |
| Pens at 3 for $4 | Only Claude Haiku 5.5 | Claude Haiku 5.5, 1.6×took 1.7 s and 2.9 s | GPT-6 Luna, 1.2×cost $0.0002 and $0.0001 |
| Compound interest over three years | Both passed | Claude Haiku 5.5, 1.6×took 1.3 s and 2.0 s | GPT-6 Luna, 1.3×cost $0.0001 and $0.0001 |
| Four-digit numbers whose digits sum to 9 | Both passed | Closetook 1.9 s and 2.0 s | GPT-6 Luna, 2.0×cost $0.0002 and $0.0001 |
| The highest of three dice is a 5 | Both passed | Closetook 2.1 s and 2.2 s | GPT-6 Luna, 1.8×cost $0.0002 and $0.0001 |
| An article in three bullets | Neither passed | GPT-6 Luna, 4.9×took 7.2 s and 1.5 s | GPT-6 Luna, 8.4×cost $0.0008 and $0.0001 |
| An email thread in one sentence | Only GPT-6 Luna | Closetook 1.1 s and 1.1 s | GPT-6 Luna, 1.8×cost $0.0001 and $0.0001 |
| Decisions and action items from a meeting | Both passed | Closetook 1.3 s and 1.5 s | GPT-6 Luna, 1.8×cost $0.0002 and $0.0001 |
| A quarterly memo for the CEO | Both passed | GPT-6 Luna, 2.7×took 4.2 s and 1.5 s | GPT-6 Luna, 2.7×cost $0.0003 and $0.0001 |
| A study with a negative result | Both passed | Closetook 1.4 s and 1.3 s | GPT-6 Luna, 1.8×cost $0.0001 and $0.0001 |
| The region with the most revenue | Both passed | GPT-6 Luna, 1.4×took 3.4 s and 2.5 s | GPT-6 Luna, 2.0×cost $0.0003 and $0.0001 |
| Average order value in August | Both passed | Claude Haiku 5.5, 2.1×took 1.3 s and 2.6 s | GPT-6 Luna, 1.6×cost $0.0002 and $0.0001 |
| Revenue change from July to August | Both passed | GPT-6 Luna, 1.3×took 3.3 s and 2.5 s | GPT-6 Luna, 2.9×cost $0.0004 and $0.0001 |
| A median, filtered two ways | Both passed | Closetook 2.6 s and 2.5 s | GPT-6 Luna, 1.8×cost $0.0002 and $0.0001 |
| Correlation between ad spend and sign-ups | Both passed | Claude Haiku 5.5, 1.2×took 5.7 s and 6.7 s | GPT-6 Luna, 2.0×cost $0.0007 and $0.0004 |
| A late order | Both passed | GPT-6 Luna, 1.1×took 1.8 s and 1.6 s | GPT-6 Luna, 2.1×cost $0.0002 and $0.0001 |
| A return inside the window | Both passed | GPT-6 Luna, 1.1×took 1.4 s and 1.2 s | GPT-6 Luna, 2.0×cost $0.0002 and $0.0001 |
| A frustrated customer | Neither passed | GPT-6 Luna, 1.5×took 2.1 s and 1.4 s | GPT-6 Luna, 2.5×cost $0.0002 and $0.0001 |
| A refund request outside the window | Both passed | GPT-6 Luna, 1.5×took 1.9 s and 1.3 s | GPT-6 Luna, 2.5×cost $0.0002 and $0.0001 |
| A message with a planted instruction | Both passed | GPT-6 Luna, 3.0×took 4.6 s and 1.5 s | GPT-6 Luna, 4.2×cost $0.0004 and $0.0001 |
| A delivery message into Spanish | Both passed | Claude Haiku 5.5, 1.9×took 1.4 s and 2.6 s | GPT-6 Luna, 1.7×cost $0.0002 and $0.0001 |
| A product description into French | Both passed | Closetook 1.4 s and 1.4 s | GPT-6 Luna, 1.8×cost $0.0002 and $0.0001 |
| A meeting note into German | Both passed | Claude Haiku 5.5, 1.3×took 1.3 s and 1.7 s | GPT-6 Luna, 1.9×cost $0.0002 and $0.0001 |
| Idioms into natural Japanese | Both passed | GPT-6 Luna, 1.3×took 2.0 s and 1.6 s | GPT-6 Luna, 1.7×cost $0.0002 and $0.0001 |
| A lease clause into Brazilian Portuguese | Both passed | GPT-6 Luna, 1.5×took 2.3 s and 1.5 s | GPT-6 Luna, 2.6×cost $0.0003 and $0.0001 |
| Customers in one country | Both passed | Closetook 1.0 s and 1.0 s | GPT-6 Luna, 2.0×cost $0.0001 and $0.0001 |
| Count orders by status | Both passed | GPT-6 Luna, 1.1×took 1.0 s and 0.9 s | GPT-6 Luna, 2.1×cost $0.0001 and $0.0001 |
| Revenue by category | Both passed | Closetook 1.3 s and 1.2 s | GPT-6 Luna, 1.9×cost $0.0002 and $0.0001 |
| Every customer, even those without orders | Both passed | Claude Haiku 5.5, 1.9×took 1.3 s and 2.4 s | GPT-6 Luna, 1.9×cost $0.0002 and $0.0001 |
| Monthly revenue with a running total | Both passed | GPT-6 Luna, 1.8×took 3.2 s and 1.8 s | GPT-6 Luna, 3.7×cost $0.0005 and $0.0001 |
| A fact from one section | Both passed | Claude Haiku 5.5, 1.3×took 1.0 s and 1.3 s | GPT-6 Luna, 1.8×cost $0.0001 and $0.0001 |
| Core hours and start times | Both passed | Closetook 1.0 s and 1.0 s | GPT-6 Luna, 1.6×cost $0.0001 and $0.0001 |
| Two sections in one answer | Both passed | Closetook 1.4 s and 1.4 s | GPT-6 Luna, 1.8×cost $0.0001 and $0.0001 |
| A later amendment changes the answer | Both passed | GPT-6 Luna, 1.3×took 1.3 s and 1.0 s | GPT-6 Luna, 2.0×cost $0.0002 and $0.0001 |
| A question the handbook doesn't answer | Both passed | Claude Haiku 5.5, 1.8×took 1.1 s and 1.9 s | GPT-6 Luna, 2.0×cost $0.0001 and $0.0001 |
| Pick the tool and work out the date | Both passed | Claude Haiku 5.5, 2.0×took 1.0 s and 2.1 s | GPT-6 Luna, 1.4×cost $0.0001 and $0.0001 |
| Convert a currency | Both passed | Claude Haiku 5.5, 1.4×took 0.8 s and 1.1 s | GPT-6 Luna, 1.6×cost $0.0001 and $0.0001 |
| Book a meeting from a sentence | Both passed | GPT-6 Luna, 2.4×took 3.0 s and 1.2 s | GPT-6 Luna, 2.2×cost $0.0002 and $0.0001 |
| Search, but don't book | Both passed | Claude Haiku 5.5, 2.2×took 1.0 s and 2.2 s | GPT-6 Luna, 1.4×cost $0.0001 and $0.0001 |
| Two calls with a unit conversion | Both passed | GPT-6 Luna, 1.2×took 2.3 s and 1.9 s | GPT-6 Luna, 1.9×cost $0.0002 and $0.0001 |
Claude Haiku 5.5 vs GPT-6 Luna in our test runs
Claude Haiku 5.5 and GPT-6 Luna 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 | Claude Haiku 5.5 | GPT-6 Luna |
|---|---|---|
| Coding | 5 of 5 | 5 of 5 |
| Writing | 3 of 5 | 5 of 5 |
| Math | 5 of 5 | 4 of 5 |
| Summarization | 3 of 5 | 4 of 5 |
| Data analysis | 5 of 5 | 5 of 5 |
| Customer support | 4 of 5 | 4 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 | 45 of 50 · 1 message each · $0.0002 a reply | 47 of 50 · 1 message each · $0.0001 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, writing: both replies to a prompt only one of them passed.
An everyday prompt: “Rewrite corporate jargon in plain words”, in full.
Claude Haiku 5.5
Failed: Graded 3.3 of 5 on average (lowest 2).
Through teamwork across departments, our Q3 initiative shifted our approach to focus more on customers. Customer retention rose 12%, and customer loss slowed by 30 basis points across our enterprise segment. We also adjusted our multichannel customer contact points to use resources more efficiently.
600 tokens in, 95 out · 1.3 s · $0.0001 · 1 message on Pro · answered by anthropic/claude-haiku-5.5 via Anthropic ·
GPT-6 Luna
Passed: Graded 4.7 of 5 on average (lowest 4).
In Q3, teams across the company worked together to focus more on customers. Retention measures improved by 12%, and the rate of customer loss fell by 0.3 percentage points in the enterprise segment. The company also adjusted its customer contact channels to make better use of available capacity.
417 tokens in, 124 out (59 of them reasoning) · 2.4 s · $0.0001 · 1 message on Pro · answered by openai/gpt-6-luna via OpenAI ·
Claude Haiku 5.5 and GPT-6 Luna on every plan
Whether the one-time free trial reaches each model, then each paid plan's messages on it.
| Plan | Price | Claude Haiku 5.5 | GPT-6 Luna |
|---|---|---|---|
| Free | $0 | In the one-time trial of 5 messages | In the one-time trial of 5 messages |
| Pro | $20 a month | 60 a day | 60 a day |
| Max | $50 a month | 120 a day | 120 a day |
| Ultra | $100 a month | 200 a day | 200 a day |
| Studio | $200 a month | 200 a day | 200 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
Both are everyday models: each message comes from Pro's 60 a day, so they cost the same.
Context window
Claude Haiku 5.5 takes up to 1M tokens; GPT-6 Luna 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. Both take a PDF as the whole file, pages and all.
On Free
Both are in the free trial.
Where messages go
Claude Haiku 5.5: Sent to Anthropic directly. GPT-6 Luna: Sent to OpenAI directly.
Fact by fact
| Fact | Claude Haiku 5.5 | GPT-6 Luna |
|---|---|---|
| Context window | 1M tokens | 1.05M tokens |
| Reads images | Yes | Yes |
| PDFs | Whole file | Whole file |
| Reasoning | Yes | Yes |
| API price (October 2026) | $0.10 in / $0.50 out per million tokens | $0.10 in / $0.50 out per million tokens |
| A typical message at API prices (4,000 tokens in, 700 out) | $0.0008 | $0.0008 |
| A $10 top-up adds | Nothing: an everyday model's count is daily | Nothing: an everyday model's count is daily |
| Where a message goes | Sent to Anthropic directly. | Sent to OpenAI directly. |
| If the provider fails | If Anthropic fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to Claude Haiku 5.5 through OpenRouter instead. | If OpenAI fails before the reply starts (an overload, a server error, a dropped connection), llmwise sends the same request to GPT-6 Luna through OpenRouter instead. |
| Anthropic's safety fallback | Doesn't apply | Doesn't apply |
Claude Haiku 5.5 or GPT-6 Luna?
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, Claude Haiku 5.5 and GPT-6 Luna are level: same count, same files, same context. Pick the one whose answers you prefer.
Each model's page, the families, and other pairs
Claude Haiku 5.5 vs GPT-6 Luna is one pair of models. The page below covers the whole families.
- Claude Haiku 5.5: price, limits and messages on every plan
- GPT-6 Luna: price, limits and messages on every plan
- Claude vs ChatGPT
- Claude Haiku 5.5 vs Claude Haiku 4.5
- Claude Sonnet 5.5 vs Claude Haiku 5.5
- Claude Haiku 5.5 vs GLM 5.3 Flash
- GPT-6 Luna vs DeepSeek V4.1 Flash
- GPT-6 Sol vs GPT-6 Luna
- Claude Haiku 4.5 vs GPT-6 Luna
- Every model-vs-model page
Claude Haiku 5.5 is a Claude model; GPT-6 Luna is a GPT model.
Questions
Is Claude Haiku 5.5 or GPT-6 Luna cheaper in llmwise?
Both are everyday models: each message comes from Pro's 60 a day, so they cost the same. 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 5.5 and GPT-6 Luna for free?
Yes: both are in the free trial of 5 messages.
Which has the bigger context window, Claude Haiku 5.5 or GPT-6 Luna?
GPT-6 Luna: 1.05M tokens, against 1M 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 5.5 and GPT-6 Luna in the same chat?
Yes. Pick Claude Haiku 5.5 for one message and GPT-6 Luna for the next; the second sees the whole chat, including the first one's answer.
Which did better in your test runs, Claude Haiku 5.5 or GPT-6 Luna?
On the same 50 prompts, run on October 7, 2026, Claude Haiku 5.5 passed 45 and GPT-6 Luna passed 47. 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.