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- Claude Haiku 5.5 vs. GPT-6.1 Terra
AnthropicOpenAILLM matchup
Claude Haiku 5.5vs.GPT-6.1 Terra
Which one is better?
Claude Haiku 5.5 and GPT-6.1 Terra perform about equally well, but GPT-6.1 Terra costs 10 times as much.
Claude Haiku 5.5
Rank 20
GPT-6.1 Terra
Rank 19
Claude Haiku 5.5
GPT-6.1 Terra
Claude Haiku 5.5
GPT-6.1 Terra
Claude Haiku 5.5
Rank 3 of 875
GPT-6.1 Terra
Rank 632 of 875
Above 100,000 tokens of context, Claude Haiku 5.5 costs more: $0.50 input and $2.50 output per 1M tokens. Above 272,000 tokens of context, GPT-6.1 Terra costs more: $2 input and $7.50 output per 1M tokens.
Choose Claude Haiku 5.5 for
Choose GPT-6.1 Terra for
On this page
Where is the difference?
Strengths at a glance
Haiku 5.5GPT-6.1 Terra
The median of all ranked models is below 100 in every area, so it sits in the centre of the net.
95 % range: Haiku 5.5 102.5 to 109.9, GPT-6.1 Terra 104.3 to 121.7.
The same values and verdicts as the bars below. In the top field the net starts at 100 points, the reference group average; values below sit as a hollow point in the centre. Not in the net because a model has no own value there or the data are too thin: Mathematics, General, Multimodal, Health.
GPT-6.1 Terra is ahead in 1 of 10 areas, Haiku 5.5 in none.
Haiku 5.5 slightly ahead: 3too little data: 4GPT-6.1 Terra slightly ahead: 2GPT-6.1 Terra ahead: 1
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Show 3 more areas that do not count toward the overall index
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Claude Haiku 5.5 vs. GPT-6.1 Terra at the same effort
Both models measured at the same reasoning efforts. This shows whether a lead comes from the model or only from more compute.
| Effort | Haiku 5.5 | GPT-6.1 Terra | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| low | 80.8 | 89.4 | 16.4 | GPT-6.1 Terra ahead | 11 |
| medium | 90.4 | 97.1 | 15.1 | GPT-6.1 Terra ahead | 11 |
| high | 96.6 | 99.5 | 11.3 | GPT-6.1 Terra ahead | 11 |
| xhigh | 101.3 | 101.9 | 9.1 | GPT-6.1 Terra ahead | 11 |
| max | 103.4 | 105.2 | 10.4 | GPT-6.1 Terra ahead | 11 |
| Overall index (max vs. max) | 103.4 | 105.2 | 1.9 | level |
Gap and verdict compare only the Artificial Analysis test series in which both models are measured at that effort. Tied below 3 points, ahead only beyond two standard errors. The single values rest on all test series of each model, so their difference can deviate from the gap.
Which model for which task?
Everyday tasks, translated from the area values above. Each row names the values it rests on.
See for yourself: same task, one attempt
There is no shared test round for this selection. Results from different rounds are not mixed.
Claude Haiku 5.5 and GPT-6.1 Terra in the overall index
Every model with a place in the overall index, both models of this matchup highlighted. You can add or hide other models.
Overall index (Gradually Meta-Score v4)
20 of 91 models
4 models in this view are measured at a lower reasoning effort than max in the overall index. Dashed column: lower reasoning effort than the top.
Popularity compared
How often the models are searched for, used and mentioned, on a scale from 0 to 100.
Claude Haiku 5.5 is more popular than GPT-6.1 Terra: 77 to 12 out of 100.
Over time
Weekly values from October 18, 2026 to November 5, 2026
Claude Haiku 5.5GPT-6.1 Terra
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Claude Haiku 5.5 | GPT-6.1 Terra |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 103.4 | 105.2 |
| Rank | Rank 20 of 91 | Rank 19 of 91 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.10above 100,000 tokens: $0.50 | $1above 272,000 tokens: $2 |
| Outputwhat the model writes | $0.50above 100,000 tokens: $2.50 | $5above 272,000 tokens: $7.50 |
| Speed | ||
| Tokens per second | 236 | 73 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 77Rank 3 of 875 | 12Rank 632 of 875 |
| Technical | ||
| Context windowhow much text the model reads at once | 1 M tokens≈ 1,500 A4 pages | 1.05 M tokens≈ 1,580 A4 pages |
| Knowledge cutoff | June 2026 | Jun 1, 2026 |
| Released | Oct 7, 2026 | Oct 26, 2026 |
| Availability | Active | Active |
| Open weights | no | no |
- GPT-6.1 Terra, 12-hour cache write: The table's cache-write rate covers 30-minute retention. With 12-hour retention it is $2.50 per 1M tokens through 272,000 input tokens, $5 above. Source
- GPT-6.1 Terra, Long-context billing: Above 272,000 input tokens, the higher rates apply to the entire request. Input and cache rates double, while output costs 1.5 times the standard rate. Source
- GPT-6.1 Terra, Batch and Flex pricing: 50% off standard pricing Source
- GPT-6.1 Terra, Fast pricing: Fast mode costs twice the standard price Source
- GPT-6.1 Terra, Regional processing: 10% surcharge over standard processing Source
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 126.1, rank 1. $4 input and $20 output per 1M tokens.
GPT-6.1 Terra vs. Claude Opus 5.5Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: Claude Haiku 5.5B: GPT-6.1 Terra
Show 54 more benchmarks
More comparisons
Compare Claude Haiku 5.5 and GPT-6.1 Terra with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1Claude Haiku 5.5 vs. GPT-6 Luna
- 2Claude Sonnet 5.5 vs. Claude Haiku 5.5
- 3Claude Haiku 5.5 vs. DeepSeek V4.1 Flash 1017
- 4Claude Haiku 5.5 vs. DeepSeek-V4-Flash
- 5Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 6Claude Opus 5.5 vs. Claude Haiku 5.5
- 7GPT-6.1 Terra vs. Gemini 4 Argon
- 8GPT-6.1 Terra vs. Qwen 3.8 27B
- 9Claude Haiku 5.5 vs. GLM-5.3
Show all 46 comparisons
- 10Claude Haiku 5.5 vs. Gemini 3.5 Flash-Lite
- 11Claude Haiku 5.5 vs. Gemini 3.8 Flash
- 12Claude Haiku 5.5 vs. Claude Sonnet 4.5
- 13Claude Haiku 5.5 vs. Claude Sonnet 5
- 14Claude Haiku 5.5 vs. Claude Opus 5
- 15Claude Haiku 5.5 vs. GPT-6 Astra
- 16Claude Haiku 5.5 vs. Gemini 3.5 Flash
- 17Claude Haiku 5.5 vs. Claude Opus 4.8
- 18Claude Haiku 5.5 vs. Gemini 4 Argon
- 19Claude Haiku 5.5 vs. Grok 4.7
- 20GPT-6.1 Sol vs. GPT-6.1 Terra
- 21Claude Haiku 5.5 vs. GPT-5.6 Luna
- 22Claude Haiku 5.5 vs. Qwen 3.8 Max 0902
- 23Claude Haiku 5.5 vs. Muse Spark 1.3
- 24Claude Haiku 5.5 vs. Claude Sonnet 4.6
- 25Claude Haiku 5.5 vs. Gemini 3.7 Flash
- 26Claude Haiku 5.5 vs. Mistral Large 4
- 27Claude Haiku 5.5 vs. GPT-6.1 Sol
- 28Claude Haiku 5.5 vs. Gemini 3.1 Pro Preview
- 29Claude Haiku 5.5 vs. GLM-5.3-Flash
- 30Claude Haiku 5.5 vs. DeepSeek-V4-Pro
- 31Claude Haiku 5.5 vs. GPT-5.6 Sol
- 32Claude Haiku 5.5 vs. Gemini 3.6 Flash
- 33Claude Haiku 5.5 vs. Claude Opus 4.6
- 34Claude Haiku 5.5 vs. Kimi K2.6
- 35GPT-6.1 Terra vs. Gemini 3.8 Flash
- 36Claude Haiku 5.5 vs. Claude Opus 4.7
- 37Claude Opus 5.5 vs. GPT-6.1 Terra
- 38Claude Haiku 5.5 vs. Mistral Large 3
- 39Claude Haiku 5.5 vs. GPT-5.5
- 40GPT-6.1 Terra vs. GPT-6 Astra
- 41GPT-6.1 Terra vs. DeepSeek V4.1 Flash 1017
- 42GPT-6.1 Terra vs. GPT-6 Sol
- 43GPT-6.1 Terra vs. Gemini 3.1 Pro Preview
- 44GPT-6.1 Terra vs. GPT-6 Luna
- 45GPT-6.1 Terra vs. Mistral Large 4
- 46GPT-6.1 Terra vs. Gemini 4 Carbon