GPT-6.1 Terravs.Mistral Large 3
Which one is better?
GPT-6.1 Terra is clearly ahead in the overall index, but costs 2 times (input) and 3.3 times (output) as much per token.
GPT-6.1 Terra
Rank 12 to 27
Mistral Large 3
Rank 88 to 94
GPT-6.1 Terra
fairly slow
Mistral Large 3
fairly slow
GPT-6.1 Terra
fairly expensive
Mistral Large 3
fairly cheap
GPT-6.1 Terra
- Subscription
Subscriptions in Germany: n/a
- Via API
$1 input, $5 output per 1M tokens.
Mistral Large 3
- Subscription
No Mistral AI subscription includes this model. Through other providers only in team or business plans, from €29.75 a month per seat (Langdock Business Standard). 2 plans in Germany.
- Via API
$0.50 input, $1.50 output per 1M tokens, unchanged since our price tracking began on Aug 14, 2026.
Overall index with data through Oct 29, 2026 · Prices from Oct 29, 2026 · Speed: measured by Artificial Analysis · Subscriptions as of Oct 24, 2026 · Subscription prices incl. VAT
Where is the difference?
Values from 0 to 100 per task area. We only name a winner when the gap is large enough and there are enough tests.
GPT-6.1 Terra ahead: 7Mistral Large 3 ahead: 0level: 0too little data: 3of 10 areas
See for yourself: same task, one attempt
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
Pelican on a bicycle
A community classic for free-form SVG drawing.
GPT-6.1 Terra
Not tested yet
Mistral Large 3
Reasoning (model default): no reasoning mode Source
Current attempt
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- mistralai/mistral-large-2512
- API model reported in response
- mistralai/mistral-large-2512
- Reasoning setting
- not specified
- Pinned endpoint
- Mistral | mistralai/mistral-large-2512
- Temperature
- Provider default
- Token limit including reasoning
- 8,192 tokens
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
- Response time
- 14.2 s
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (1)
- Sep 7, 2026API request failedReasoning setting: not specified
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)SVG short test
There is no shared test round for this selection. Results from different rounds are not mixed.
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-6.1 Terra | Mistral Large 3 |
|---|---|---|
| Intelligence | ||
| Overall index0 to 100, higher is better | 67 | below 1 |
| Rank | Rank 12 to 27 of 95 | Rank 88 to 94 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $1above 272,000 tokens: $2 | $0.50 |
| Outputwhat the model writes | $5above 272,000 tokens: $7.50 | $1.50 |
| Speed | ||
| Tokens per second | 91 | 84 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,580 A4 pages | 262,144 tokens≈ 390 A4 pages |
| Knowledge cutoff | Jun 1, 2026 | n/a |
| Released | Oct 26, 2026 | Dec 2, 2025 |
| Availability | Active | Active |
| Open weights | no | yes |
- 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
Shared 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.
No directly comparable result yet
No published benchmark for GPT-6.1 Terra and Mistral Large 3 currently matches in version, task and metric. We therefore show no estimated or blended values.
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