Claude Haiku 5.5 vs GPT-6.1 Terra
Claude Haiku 5.5 scores higher on the Models at Work leaderboard (73 vs 65 out of 100). On independent tests alone, GPT-6.1 Terra is ahead (64 vs 55). Claude Haiku 5.5 is cheaper: 1,000 support replies cost about $0.50 at list price, against $5 on GPT-6.1 Terra, which is 10 times as much. On the Artificial Analysis Intelligence Index, one of the independent tests, GPT-6.1 Terra leads 51 to 36.
| Claude Haiku 5.5 · Anthropic | GPT-6.1 Terra · OpenAI | |
|---|---|---|
| Leaderboard rank | #2 | #14 |
| Score (0–100) | 73 | 65 |
| Kind of work | High-volume work | Everyday default |
| Price per 1M tokens | $0.10 to read · $0.50 to write | $1 to read · $5 to write |
| Reads at once | 1M tokens (about 750,000 words) | 1.05M tokens (about 788,000 words) |
| Where you can get it | Claude Team and Enterprise, Amazon Bedrock, Gemini Enterprise Agent Platform (Google Cloud), Microsoft Foundry, GitHub Copilot | OpenAI API, Amazon Bedrock, Microsoft Foundry, Gemini Enterprise Agent Platform (Google Cloud), ChatGPT Plus, Pro, Business, Enterprise and Edu |
| Can a company host it itself | No | No |
| Artificial Analysis Intelligence Index | 36 | 51 |
| Humanity's Last Exam, Diamond (Scale) | Not measured | 35.70 |
| Best for | Sorting and routing tickets, Pulling fields out of invoices, First-pass support replies, Tagging and classifying records at volume | High-volume back-office tasks, Filling in forms and moving data between systems, Summarising documents |
Cost of 1,000 jobs
| 1,000 of these | Claude Haiku 5.5 | GPT-6.1 Terra |
|---|---|---|
| Support repliesthe customer message, the account notes and two help articles read; a 300-word reply written | $0.50 | $5 |
| Documents processeda two-page invoice or form read; the fields pulled out | $0.35 | $3.50 |
| Calls summariseda 40-minute call transcript read; a summary and next steps written | $1.30 | $13 |
| Contracts revieweda 40-page contract read against a checklist; a memo of issues written | $3.75 | $38 |
| Drafts writtena brief and one example read; a 600-word email or proposal section written | $0.55 | $5.50 |
Worked out from each vendor’s list price and a fixed size for each job. A product built on a model charges its own price on top. See what every model costs for the same jobs.
Choose Claude Haiku 5.5 for
- Sorting and routing tickets
- Pulling fields out of invoices
- First-pass support replies
- Tagging and classifying records at volume
The pick for high-volume routine work: a twentieth of Claude Sonnet 5.5's list price, with users reporting near-perfect sorting in production, as long as each request stays short.
Caveats: The price is five times higher on any request that feeds it more than 100,000 tokens of text at once (a long document or a long back-and-forth). It scores 36 on Artificial Analysis's index against 55 for Sonnet 5.5: keep it off work that needs judgement. It ranks 2nd because price is 30% of the board's score and this is one of the two cheapest models here, not because of its test results.
Choose GPT-6.1 Terra for
- High-volume back-office tasks
- Filling in forms and moving data between systems
- Summarising documents
Half the list price of GPT-6.1 Sol for four points less on Artificial Analysis's index (51 against 55): the cheaper OpenAI default where the work is routine.
Caveats: Requests that feed it more than 272,000 tokens of text at once are billed at twice the input price and 1.5 times the output price, per OpenAI. The 51 is at its top effort setting, where a test task took 14.1 minutes; at the next setting down it scores 42. OpenAI sells it for operating software on screen like a person would; no independent test of that was found. The ChatGPT plans are listed from our researcher's reading of OpenAI's help page, which blocked automated reading this run.
What people running them say
Claude Haiku 5.5: A Hacker News (developer forum) thread on it passed a thousand upvotes in a day. The recurring reports are that it sorts items into fixed categories almost without error in live use and is 'noticeably smarter than GPT-6 Luna'; the recurring complaint is the higher price on requests over 100,000 tokens (the unit vendors bill by).
Questions people ask
Which is better, Claude Haiku 5.5 or GPT-6.1 Terra?
Claude Haiku 5.5 scores higher on the Models at Work leaderboard (73 vs 65 out of 100). On independent tests alone, GPT-6.1 Terra is ahead (64 vs 55). Claude Haiku 5.5 is cheaper: 1,000 support replies cost about $0.50 at list price, against $5 on GPT-6.1 Terra, which is 10 times as much. On the Artificial Analysis Intelligence Index, one of the independent tests, GPT-6.1 Terra leads 51 to 36.
When should I choose Claude Haiku 5.5 over GPT-6.1 Terra?
Choose Claude Haiku 5.5 for sorting and routing tickets, pulling fields out of invoices, first-pass support replies, tagging and classifying records at volume. The pick for high-volume routine work: a twentieth of Claude Sonnet 5.5's list price, with users reporting near-perfect sorting in production, as long as each request stays short.
When should I choose GPT-6.1 Terra over Claude Haiku 5.5?
Choose GPT-6.1 Terra for high-volume back-office tasks, filling in forms and moving data between systems, summarising documents. Half the list price of GPT-6.1 Sol for four points less on Artificial Analysis's index (51 against 55): the cheaper OpenAI default where the work is routine.
Which is cheaper, Claude Haiku 5.5 or GPT-6.1 Terra?
Claude Haiku 5.5 costs $0.10 per million tokens it reads (input) and $0.50 per million tokens it writes (output) on Anthropic's list price (Claude pricing, read Nov 13, 2026). A token is about three-quarters of a word. GPT-6.1 Terra costs $1 per million tokens it reads (input) and $5 per million tokens it writes (output) on OpenAI's list price (OpenAI API pricing, read Nov 13, 2026). A token is about three-quarters of a word.
What do 1,000 jobs cost on Claude Haiku 5.5 and GPT-6.1 Terra?
At list price: 1,000 support replies cost $0.50 on Claude Haiku 5.5 and $5 on GPT-6.1 Terra; 1,000 documents processed cost $0.35 on Claude Haiku 5.5 and $3.50 on GPT-6.1 Terra; 1,000 calls summarised cost $1.30 on Claude Haiku 5.5 and $13 on GPT-6.1 Terra; 1,000 contracts reviewed cost $3.75 on Claude Haiku 5.5 and $38 on GPT-6.1 Terra; 1,000 drafts written cost $0.55 on Claude Haiku 5.5 and $5.50 on GPT-6.1 Terra. A product built on either model charges its own price on top.
Scores come from the Models at Work leaderboard: Score is 0 to 100 and computed, not typed. 40% is independent testing (Artificial Analysis, Arena, Scale, Epoch, Vals and others; each test is scaled against the best score on this board, and tests of real work, such as finished freelance projects or professional tasks, count double the exams). 30% is price: the vendor's list price for a typical mix of reading and writing, on a fixed scale from $0.05 to $60 per million tokens, so a model that costs a fifth as much gains real ground. 15% is what people report after running it, from Signals and linked threads. 15% is fit: how much text it can take in at once and where a business can get it (the products and clouds that carry it), with a small credit for open weights. A missing component drops out and the rest are reweighted. A model with no independent test yet is provisional and ranks below every measured one. Within three points is a tie. Vendor-published figures are labelled and never counted. Prices are vendor list prices where published; a typical mix assumes three parts reading to one part writing.