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- DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
DeepSeekMistral AILLM matchup
DeepSeek-V4.1-Flashvs.Mistral Medium 3.5
Which one is better?
DeepSeek-V4.1-Flash performs better than Mistral Medium 3.5 and is cheaper: Mistral Medium 3.5 costs 10 times (input) and 12.5 times (output) as much.
DeepSeek-V4.1-Flash
Rank 29
Mistral Medium 3.5
Rank 88
DeepSeek-V4.1-Flash
Mistral Medium 3.5
DeepSeek-V4.1-Flash
Mistral Medium 3.5
DeepSeek-V4.1-Flash
Rank 312 of 876
Mistral Medium 3.5
Rank 317 of 876
Choose DeepSeek-V4.1-Flash for
Choose Mistral Medium 3.5 for
No clear advantage
On this page
Where is the difference?
Strengths at a glance
DeepSeek-V4.1-FlashMistral Medium 3.5Median of all ranked models
95 % range: DeepSeek-V4.1-Flash 91.4 to 106.3, Mistral Medium 3.5 44.5 to 58.0.
The same values and verdicts as the bars below. In the close-up the net starts at 30 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 Medium 3.5 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 Medium 3.5

Oct 14, 2026 · $0.0039
Test details
- Test run
- Oct 14, 2026
- Provider
- mistral
- API model
- mistralai/mistral-medium-3-5
- Output
- 502 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0039
- Test round
- 43b8c5c46830
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 Medium 3.5

Oct 1, 2026 · 39 s · $0.06
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- mistralai/mistral-medium-3-5
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,128 tokens
- Cost of the attempt
- $0.0610
- Response time
- 38.7 s
- API model reported in response
- mistralai/mistral-medium-3-5
- Pinned endpoint
- Mistral | mistralai/mistral-medium-3.5-20260430
- 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.
Earlier attempts (1)
- Sep 7, 2026API request failedReasoning setting: high
DeepSeek-V4.1-Flash and Mistral Medium 3.5 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.
Both are about as popular: DeepSeek-V4.1-Flash 38, Mistral Medium 3.5 37 out of 100.
Over time
Weekly values from October 18, 2026 to November 6, 2026
DeepSeek-V4.1-FlashMistral Medium 3.5
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 Medium 3.5 |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 99.7 | 46.8 |
| Rank | Rank 29 of 92 | Rank 88 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $0.15 | $1.50 |
| Outputwhat the model writes | $0.60 | $7.50 |
| Cost per task (own tests)average of 2 original-protocol tasks both models passed (SVG short test not included) | $0.008 | $0.10 |
| Speed | ||
| Tokens per second | 176 | 144 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 38Rank 312 of 876 | 37Rank 317 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 | Apr 28, 2026 |
| 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 Medium 3.5 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 Medium 3.5
Show 54 more benchmarks
More comparisons
Compare DeepSeek-V4.1-Flash and Mistral Medium 3.5 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 52 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
- 20GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 21Gemini 3.1 Pro Preview vs. DeepSeek-V4.1-Flash
- 22DeepSeek-V4.1-Flash vs. MiMo-V2.5-Pro
- 23DeepSeek-V4.1-Flash vs. GLM-5.3
- 24Gemini 3.5 Flash-Lite vs. DeepSeek-V4.1-Flash
- 25Gemini 3.6 Flash vs. DeepSeek-V4.1-Flash
- 26Claude Opus 4.8 vs. DeepSeek-V4.1-Flash
- 27Claude Haiku 4.5 vs. DeepSeek-V4.1-Flash
- 28Claude Opus 5.5 vs. Mistral Medium 3.5
- 29DeepSeek-V4.1-Flash vs. Kimi K3
- 30GPT-5.6 Sol vs. DeepSeek-V4.1-Flash
- 31Claude Fable 5 vs. DeepSeek-V4.1-Flash
- 32GPT-5.6 Luna vs. DeepSeek-V4.1-Flash
- 33Gemini 4 Argon vs. DeepSeek-V4.1-Flash
- 34Claude Sonnet 4.5 vs. Mistral Medium 3.5
- 35DeepSeek-V4.1-Flash vs. Qwen 3.8 27B
- 36Grok 4.6 vs. DeepSeek-V4.1-Flash
- 37DeepSeek V4.1 Flash 1017 vs. Mistral Medium 3.5
- 38DeepSeek-V4.1-Flash vs. MiMo-V2.5
- 39Claude Sonnet 4.5 vs. DeepSeek-V4.1-Flash
- 40Claude Sonnet 5.5 vs. Mistral Medium 3.5
- 41GLM-5.2 vs. Mistral Medium 3.5
- 42Claude Fable 5.1 vs. DeepSeek-V4.1-Flash
- 43Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
- 44Mistral Large 4 vs. Mistral Medium 3.5
- 45GPT-6 Luna vs. Mistral Medium 3.5
- 46Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 47DeepSeek-V4.1-Flash vs. GLM-5.1
- 48DeepSeek-V4.1-Flash vs. Mistral Large 3
- 49Gemini 3.5 Flash vs. DeepSeek-V4.1-Flash
- 50GPT-6.1 Terra vs. DeepSeek-V4.1-Flash
- 51Muse Wonder vs. DeepSeek-V4.1-Flash
- 52DeepSeek-V4.1-Flash vs. Kimi K3.1 Pro