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- DeepSeek-V4.1-Flash vs. Mistral Large 3
DeepSeekMistral AILLM matchup
DeepSeek-V4.1-Flashvs.Mistral Large 3
Which one is better?
DeepSeek-V4.1-Flash performs better than Mistral Large 3 and is cheaper: Mistral Large 3 costs 3.3 times (input) and 2.5 times (output) as much.
DeepSeek-V4.1-Flash
Rank 29
Mistral Large 3
Rank 92
DeepSeek-V4.1-Flash
Mistral Large 3
DeepSeek-V4.1-Flash
Mistral Large 3
DeepSeek-V4.1-Flash
Rank 312 of 876
Mistral Large 3
Rank 420 of 876
Choose DeepSeek-V4.1-Flash for
Choose Mistral Large 3 for
No clear advantage
On this page
Where is the difference?
Strengths at a glance
DeepSeek-V4.1-FlashMistral Large 3Median of all ranked models
95 % range: DeepSeek-V4.1-Flash 91.4 to 106.3, 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. Not in the net because a model has no own value there or the data are too thin: Reasoning, Knowledge.
DeepSeek-V4.1-Flash is ahead in 8 of 10 areas, Mistral Large 3 in none.
DeepSeek-V4.1-Flash ahead: 8too little data: 2
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
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.
DeepSeek-V4.1-Flash

Oct 14, 2026 · $0.0001
Test details
- Test run
- Oct 14, 2026
- Provider
- decart/fp4
- API model
- deepseek/deepseek-v4.1-flash
- Output
- 590 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0001
- Test round
- 43b8c5c46830
Mistral Large 3
API request failed. The model was not evaluated.
Earlier tests
DeepSeek-V4.1-Flash
The response reached the token limit. No complete recording is available.
Oct 5, 2026 · 26 s · $0.0049
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Test details
- Run date
- Oct 5, 2026
- API provider
- openrouter
- Requested API model
- deepseek/deepseek-v4.1-flash
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,191 tokens
- Cost of the attempt
- $0.0049
- Response time
- 25.8 s
- API model reported in response
- deepseek/deepseek-v4.1-flash
- Pinned endpoint
- DeepSeek | deepseek/deepseek-v4.1-flash-20260910
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Failed
Earlier attempts (2)
- Oct 2, 2026API request failedReasoning setting: high
- Oct 1, 2026API request failedReasoning setting: high
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
DeepSeek-V4.1-Flash 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.
DeepSeek-V4.1-Flash is more popular than Mistral Large 3: 38 to 32 out of 100.
Over time
Weekly values from October 18, 2026 to November 6, 2026
DeepSeek-V4.1-FlashMistral Large 3
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | DeepSeek-V4.1-Flash | Mistral Large 3 |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 99.7 | 38.8 |
| Rank | Rank 29 of 92 | Rank 92 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.15 | $0.50 |
| Outputwhat the model writes | $0.60 | $1.50 |
| Speed | ||
| Tokens per second | 176 | 78 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 38Rank 312 of 876 | 32Rank 420 of 876 |
| Technical | ||
| Context windowhow much text the model reads at once | 1 M tokens≈ 1,500 A4 pages | 262,144 tokens≈ 390 A4 pages |
| Knowledge cutoff | n/a | n/a |
| Released | Sep 10, 2026 | Dec 2, 2025 |
| Availability | Active | Active |
| Open weights | yes | yes |
- DeepSeek-V4.1-Flash: At peak times (Mon, Tue, Wed, Thu, Fri, 01:00-04:00 UTC; Mon, Tue, Wed, Thu, Fri, 06:00-10:00 UTC) the price is $0.30 input and $1.20 output per 1M tokens. The table shows the off-peak price.
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 106.6, rank 17$0.15 input and $0.60 output per 1M tokens
Mistral Large 3 vs. DeepSeek V4.1 Flash 1017Overall index 103.4, rank 20$0.10 input and $0.50 output per 1M tokens
DeepSeek-V4.1-Flash vs. Claude Haiku 5.5Overall index 126.1, rank 1$4 input and $20 output per 1M tokens
DeepSeek-V4.1-Flash 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: DeepSeek-V4.1-FlashB: Mistral Large 3
Show 37 more benchmarks
More comparisons
Compare DeepSeek-V4.1-Flash and Mistral Large 3 with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1Gemini 3.8 Flash vs. DeepSeek-V4.1-Flash
- 2Muse Spark 1.3 vs. DeepSeek-V4.1-Flash
- 3Claude Sonnet 5.5 vs. DeepSeek-V4.1-Flash
- 4Claude Opus 5.5 vs. DeepSeek-V4.1-Flash
- 5GPT-6 Luna vs. DeepSeek-V4.1-Flash
- 6GPT-6 Sol vs. DeepSeek-V4.1-Flash
- 7Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 8GPT-6 Astra vs. DeepSeek-V4.1-Flash
- 9Grok 4.7 vs. DeepSeek-V4.1-Flash
Show all 51 comparisons
- 10Claude Sonnet 5 vs. DeepSeek-V4.1-Flash
- 11GPT-5.6 Terra vs. DeepSeek-V4.1-Flash
- 12DeepSeek-V4.1-Flash vs. Qwen 3.8 Max 0902
- 13Claude Opus 5 vs. DeepSeek-V4.1-Flash
- 14Claude Opus 4.6 vs. DeepSeek-V4.1-Flash
- 15DeepSeek-V4.1-Flash vs. GLM-5.3-Flash
- 16Claude Sonnet 4.6 vs. DeepSeek-V4.1-Flash
- 17DeepSeek-V4.1-Flash vs. Mistral Large 4
- 18DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 19DeepSeek-V4.1-Flash vs. GLM-5.2
- 20Claude Opus 5.5 vs. Mistral Large 3
- 21GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 22Gemini 3.1 Pro Preview vs. DeepSeek-V4.1-Flash
- 23DeepSeek-V4.1-Flash vs. MiMo-V2.5-Pro
- 24DeepSeek-V4.1-Flash vs. GLM-5.3
- 25Gemini 3.5 Flash-Lite vs. DeepSeek-V4.1-Flash
- 26Gemini 3.6 Flash vs. DeepSeek-V4.1-Flash
- 27Claude Opus 4.8 vs. DeepSeek-V4.1-Flash
- 28GLM-5.3 vs. Mistral Large 3
- 29Claude Haiku 4.5 vs. DeepSeek-V4.1-Flash
- 30DeepSeek-V4.1-Flash vs. Kimi K3
- 31GPT-5.6 Sol vs. DeepSeek-V4.1-Flash
- 32Claude Fable 5 vs. DeepSeek-V4.1-Flash
- 33GPT-5.6 Luna vs. DeepSeek-V4.1-Flash
- 34Gemini 4 Argon vs. DeepSeek-V4.1-Flash
- 35DeepSeek-V4.1-Flash vs. Qwen 3.8 27B
- 36Mistral Large 4 vs. Mistral Large 3
- 37Grok 4.6 vs. DeepSeek-V4.1-Flash
- 38DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
- 39Claude Haiku 5.5 vs. Mistral Large 3
- 40DeepSeek-V4.1-Flash vs. MiMo-V2.5
- 41Claude Sonnet 4.5 vs. DeepSeek-V4.1-Flash
- 42DeepSeek-V4-Flash vs. Mistral Large 3
- 43Claude Fable 5.1 vs. DeepSeek-V4.1-Flash
- 44Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
- 45DeepSeek V4.1 Flash 1017 vs. Mistral Large 3
- 46Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 47DeepSeek-V4.1-Flash vs. GLM-5.1
- 48Gemini 3.5 Flash vs. DeepSeek-V4.1-Flash
- 49GPT-6.1 Terra vs. DeepSeek-V4.1-Flash
- 50Muse Wonder vs. DeepSeek-V4.1-Flash
- 51DeepSeek-V4.1-Flash vs. Kimi K3.1 Pro