OpenAIMistral AILLM matchup
GPT-6 Solvs.Mistral Large 3
Which one is better?
GPT-6 Sol performs better than Mistral Large 3, but costs 4 times (input) and 6.7 times (output) as much.
GPT-6 Sol
Rank 13
Mistral Large 3
Rank 92
GPT-6 Sol
Mistral Large 3
GPT-6 Sol
Mistral Large 3
GPT-6 Sol
Rank 3 of 785
Mistral Large 3
Rank 476 of 785
Above 272,000 tokens of context, GPT-6 Sol costs more: $4 input and $15 output per 1M tokens.
Choose GPT-6 Sol for
Choose Mistral Large 3 for
No clear advantage
Where is the difference?
Strengths at a glance
GPT-6 SolMistral Large 3Median of all ranked models
95 % range: GPT-6 Sol 112.2 to 117.6, Mistral Large 3 29.0 to 47.6.
The same values and verdicts as the bars below. In the close-up the net starts at 25 points, just below the weaker model's lowest value; the reference group average is 100.
GPT-6 Sol is ahead in 10 of 10 areas, Mistral Large 3 in none.
GPT-6 Sol ahead: 10
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.
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
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
GPT-6 Sol
Oct 1, 2026 · 80 s · $0.04
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-6-sol
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 4,389 tokens
- Cost of the attempt
- $0.0439
- Response time
- 80.5 s
- API model reported in response
- openai/gpt-6-sol
- Pinned endpoint
- OpenAI | openai/gpt-6-sol-20260922
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
Visually reviewed. This individual test does not establish overall model quality.
Mistral Large 3
Oct 1, 2026 · 14 s · $0.0022
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- mistralai/mistral-large-2512
- Reasoning setting
- not specified
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 1,451 tokens
- Cost of the attempt
- $0.0022
- Response time
- 14.2 s
- API model reported in response
- mistralai/mistral-large-2512
- Pinned endpoint
- Mistral | mistralai/mistral-large-2512
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Passed, not a quality rating
- Reasoning (model default)
- no reasoning mode Source
Visually reviewed. This individual test does not establish overall model quality.
Earlier attempts (1)
- Sep 7, 2026API request failedReasoning setting: not specified
SVG short test
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Prompt
Return only one standalone SVG of a pelican riding a bicycle. Use viewBox="0 0 800 600", simple shapes, two clearly visible wheels and a recognizable pelican with a long beak. At most 30 SVG elements and 1800 characters. No Markdown, explanations, comments, scripts, animation, CSS or external resources.
GPT-6 Sol
Unavailable in this round
Mistral Large 3
API request failed. The model was not evaluated.
GPT-6 Sol and Mistral Large 3 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 92 models
5 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.
GPT-6 Sol is more popular than Mistral Large 3: 73 to 32 out of 100.
Over time
Weekly values from October 18, 2026 to November 7, 2026
GPT-6 SolMistral Large 3
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-6 Sol | Mistral Large 3 |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 110.5 | 38.8 |
| Rank | Rank 13 of 92 | Rank 92 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $2above 272,000 tokens: $4 | $0.50 |
| Outputwhat the model writes | $10above 272,000 tokens: $15 | $1.50 |
| Cost per task (own tests)average of 1 original-protocol task both models passed (SVG short test not included) | $0.044 | $0.002 |
| Speed | ||
| Tokens per second | 111 | 78 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 73Rank 3 of 785 | 32Rank 476 of 785 |
| 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 | Apr 20, 2026 | n/a |
| Released | Sep 22, 2026 | Dec 2, 2025 |
| Availability | Active | Active |
| Open weights | no | yes |
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 119.2, rank 7$2 input and $10 output per 1M tokens
Mistral Large 3 vs. GPT-6.1 SolOverall index 106.6, rank 17$0.15 input and $0.60 output per 1M tokens
GPT-6 Sol vs. DeepSeek V4.1 Flash 1017Overall index 126.1, rank 1$4 input and $20 output per 1M tokens
GPT-6 Sol 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: GPT-6 SolB: Mistral Large 3
Show 29 more benchmarks
More comparisons
Compare GPT-6 Sol and Mistral Large 3 with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1GPT-6 Sol vs. GPT-5.6 Sol
- 2GPT-6 Sol vs. DeepSeek-V4.1-Flash
- 3GPT-6 Sol vs. Gemini 3.8 Flash
- 4GPT-6 Sol vs. GPT-5.6 Terra
- 5GPT-6 Astra vs. GPT-6 Sol
- 6GPT-6 Sol vs. GLM-5.3-Flash
- 7Claude Sonnet 5.5 vs. GPT-6 Sol
- 8GPT-6 Sol vs. Gemini 3.1 Pro Preview
- 9Claude Opus 4.8 vs. GPT-6 Sol
Show all 41 comparisons
- 10GPT-6 Sol vs. GPT-5.4
- 11GPT-6 Sol vs. DeepSeek V4.1 Flash 1017
- 12GPT-6 Sol vs. Qwen 3.8 27B
- 13GPT-6 Sol vs. GPT-6 Luna
- 14GPT-6 Sol vs. Kimi K3.1 Pro
- 15Claude Opus 5.5 vs. Mistral Large 3
- 16Claude Sonnet 4.6 vs. GPT-6 Sol
- 17GPT-6 Sol vs. Grok 4.7
- 18Claude Haiku 5.5 vs. GPT-6 Sol
- 19Claude Opus 5.5 vs. GPT-6 Sol
- 20GLM-5.3 vs. Mistral Large 3
- 21GPT-6 Sol vs. Qwen 3.8 Max 0902
- 22Claude Sonnet 5 vs. GPT-6 Sol
- 23GPT-6 Sol vs. Kimi K3
- 24Claude Fable 5.1 vs. GPT-6 Sol
- 25GPT-6 Sol vs. DeepSeek-V4-Pro
- 26GPT-6 Sol vs. GPT-5.6 Luna
- 27Claude Opus 5 vs. GPT-6 Sol
- 28GPT-6 Sol vs. Mistral Large 4
- 29Mistral Large 4 vs. Mistral Large 3
- 30GPT-6 Sol vs. Gemini 4 Argon
- 31GPT-6 Sol vs. Gemini 3.6 Flash
- 32Claude Opus 4.6 vs. GPT-6 Sol
- 33GPT-6 Sol vs. Muse Wonder
- 34Claude Haiku 5.5 vs. Mistral Large 3
- 35DeepSeek-V4-Flash vs. Mistral Large 3
- 36Claude Haiku 4.5 vs. GPT-6 Sol
- 37GPT-6 Sol vs. GPT-5.5
- 38DeepSeek V4.1 Flash 1017 vs. Mistral Large 3
- 39GPT-6.1 Terra vs. GPT-6 Sol
- 40DeepSeek-V4.1-Flash vs. Mistral Large 3
- 41GPT-6 Sol vs. Gemini 4 Carbon