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- Gemini 3.1 Pro Preview vs. DeepSeek-V4.1-Flash
GoogleDeepSeekLLM matchup
Gemini 3.1 Pro Previewvs.DeepSeek-V4.1-Flash
Which one is better?
DeepSeek-V4.1-Flash performs better than Gemini 3.1 Pro Preview and is cheaper: Gemini 3.1 Pro Preview costs 13.3 times (input) and 20 times (output) as much.
Gemini 3.1 Pro Preview
Rank 41
DeepSeek-V4.1-Flash
Rank 29
Gemini 3.1 Pro Preview
DeepSeek-V4.1-Flash
Gemini 3.1 Pro Preview
DeepSeek-V4.1-Flash
Gemini 3.1 Pro Preview
Rank 110 of 876
DeepSeek-V4.1-Flash
Rank 312 of 876
Above 200,000 tokens of context, Gemini 3.1 Pro Preview costs more: $4 input and $18 output per 1M tokens.
Choose Gemini 3.1 Pro Preview for
No clear advantage
Choose DeepSeek-V4.1-Flash for
On this page
Where is the difference?
Strengths at a glance
Gemini 3.1 Pro PreviewDeepSeek-V4.1-FlashMedian of all ranked models
95 % range: Gemini 3.1 Pro Preview 74.9 to 87.7, DeepSeek-V4.1-Flash 91.4 to 106.3.
The same values and verdicts as the bars below. In the close-up the net starts at 75 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 6 of 10 areas, Gemini 3.1 Pro Preview in none.
level: 2too little data: 2DeepSeek-V4.1-Flash ahead: 6
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 4 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.
Gemini 3.1 Pro Preview
The response reached the token limit. No complete recording is available.
Oct 6, 2026 · 64 s · $0.10
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Test details
- Run date
- Oct 6, 2026
- API provider
- openrouter
- Requested API model
- google/gemini-3.1-pro-preview
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,188 tokens
- Cost of the attempt
- $0.0983
- Response time
- 63.8 s
- API model reported in response
- google/gemini-3.1-pro-preview
- Pinned endpoint
- Google AI Studio | google/gemini-3.1-pro-preview-20260219
- Temperature
- Provider default
- Test protocol
- community-visual-tests-v1
- Technical checks
- Failed
Earlier attempts (3)
- Oct 2, 2026API request failedReasoning setting: high
- Oct 1, 2026API request failedReasoning setting: high
- Sep 7, 2026API request failedReasoning setting: high
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
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.
Gemini 3.1 Pro Preview
Unavailable in this round
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
Gemini 3.1 Pro Preview and DeepSeek-V4.1-Flash 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.
Gemini 3.1 Pro Preview is more popular than DeepSeek-V4.1-Flash: 50 to 38 out of 100.
Over time
Weekly values from October 18, 2026 to November 6, 2026
Gemini 3.1 Pro PreviewDeepSeek-V4.1-Flash
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Gemini 3.1 Pro Preview | DeepSeek-V4.1-Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 90.1 | 99.7 |
| Rank | Rank 41 of 92 | Rank 29 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $2above 200,000 tokens: $4 | $0.15 |
| Outputwhat the model writes | $12above 200,000 tokens: $18 | $0.60 |
| Cost per task (own tests)average of 2 original-protocol tasks both models passed (SVG short test not included) | $0.11 | $0.008 |
| Speed | ||
| Tokens per second | 122 | 176 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 50Rank 110 of 876 | 38Rank 312 of 876 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,570 A4 pages | 1 M tokens≈ 1,500 A4 pages |
| Knowledge cutoff | n/a | n/a |
| Released | Feb 19, 2026 | Sep 10, 2026 |
| Availability | Preview | Active |
| Open weights | no | 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
Gemini 3.1 Pro Preview 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: Gemini 3.1 Pro PreviewB: DeepSeek-V4.1-Flash
Show 54 more benchmarks
More comparisons
Compare Gemini 3.1 Pro Preview and DeepSeek-V4.1-Flash with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
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- 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
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- 13GPT-5.6 Terra vs. DeepSeek-V4.1-Flash
- 14DeepSeek-V4.1-Flash vs. Qwen 3.8 Max 0902
- 15Claude Sonnet 5.5 vs. Gemini 3.1 Pro Preview
- 16GPT-6 Luna vs. Gemini 3.1 Pro Preview
- 17Claude Opus 5 vs. DeepSeek-V4.1-Flash
- 18Claude Opus 4.6 vs. DeepSeek-V4.1-Flash
- 19Gemini 3.1 Pro Preview vs. Kimi K3
- 20DeepSeek-V4.1-Flash vs. GLM-5.3-Flash
- 21GPT-6 Sol vs. Gemini 3.1 Pro Preview
- 22Claude Sonnet 4.6 vs. DeepSeek-V4.1-Flash
- 23DeepSeek-V4.1-Flash vs. Mistral Large 4
- 24DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 25DeepSeek-V4.1-Flash vs. GLM-5.2
- 26Gemini 4 Argon vs. Gemini 3.1 Pro Preview
- 27GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 28DeepSeek-V4.1-Flash vs. MiMo-V2.5-Pro
- 29Gemini 3.6 Flash vs. Gemini 3.1 Pro Preview
- 30DeepSeek-V4.1-Flash vs. GLM-5.3
- 31Gemini 3.5 Flash-Lite vs. DeepSeek-V4.1-Flash
- 32Gemini 3.6 Flash vs. DeepSeek-V4.1-Flash
- 33Claude Opus 4.8 vs. DeepSeek-V4.1-Flash
- 34Claude Haiku 4.5 vs. DeepSeek-V4.1-Flash
- 35DeepSeek-V4.1-Flash vs. Kimi K3
- 36GPT-5.6 Sol vs. DeepSeek-V4.1-Flash
- 37Claude Haiku 5.5 vs. Gemini 3.1 Pro Preview
- 38Claude Fable 5 vs. DeepSeek-V4.1-Flash
- 39GPT-5.6 Luna vs. DeepSeek-V4.1-Flash
- 40Gemini 3.1 Pro Preview vs. Qwen 3.8 Max 0902
- 41Gemini 4 Argon vs. DeepSeek-V4.1-Flash
- 42DeepSeek-V4.1-Flash vs. Qwen 3.8 27B
- 43GPT-5.6 Terra vs. Gemini 3.1 Pro Preview
- 44Gemini 3.1 Pro Preview vs. DeepSeek-V4-Flash
- 45Gemini 3.1 Pro Preview vs. Grok 4.7
- 46Grok 4.6 vs. DeepSeek-V4.1-Flash
- 47Gemini 3.7 Flash vs. Gemini 3.1 Pro Preview
- 48Gemini 3.1 Pro Preview vs. GLM-5.3
- 49GPT-5.6 Sol vs. Gemini 3.1 Pro Preview
- 50DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
- 51GPT-6.1 Sol vs. Gemini 3.1 Pro Preview
- 52DeepSeek-V4.1-Flash vs. MiMo-V2.5
- 53Claude Sonnet 4.5 vs. DeepSeek-V4.1-Flash
- 54GPT-5.6 Luna vs. Gemini 3.1 Pro Preview
- 55Claude Fable 5.1 vs. DeepSeek-V4.1-Flash
- 56Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
- 57Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 58DeepSeek-V4.1-Flash vs. GLM-5.1
- 59DeepSeek-V4.1-Flash vs. Mistral Large 3
- 60Gemini 3.5 Flash vs. DeepSeek-V4.1-Flash
- 61GPT-6.1 Terra vs. Gemini 3.1 Pro Preview
- 62GPT-6.1 Terra vs. DeepSeek-V4.1-Flash
- 63Gemini 4 Carbon vs. Gemini 3.1 Pro Preview
- 64Muse Wonder vs. DeepSeek-V4.1-Flash
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