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- GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
OpenAIDeepSeekLLM matchup
GPT-6.1 Solvs.DeepSeek-V4.1-Flash
Which one is better?
GPT-6.1 Sol performs better than DeepSeek-V4.1-Flash, but costs 13.3 times (input) and 16.7 times (output) as much.
GPT-6.1 Sol
Rank 9
DeepSeek-V4.1-Flash
Rank 33
GPT-6.1 Sol
DeepSeek-V4.1-Flash
GPT-6.1 Sol
DeepSeek-V4.1-Flash
GPT-6.1 Sol
DeepSeek-V4.1-Flash
Rank 3 of 485
Above 272,000 tokens of context, GPT-6.1 Sol costs more: $4 input and $15 output per 1M tokens.
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Where is the difference?
Strengths at a glance
GPT-6.1 SolDeepSeek-V4.1-FlashMedian of all ranked models
95 % range: GPT-6.1 Sol 113.7 to 127.5, DeepSeek-V4.1-Flash 91.2 to 106.7.
The same values and verdicts as the bars below. In the close-up the net starts at 85 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.
GPT-6.1 Sol is ahead in 4 of 10 areas, DeepSeek-V4.1-Flash in none.
GPT-6.1 Sol ahead: 4GPT-6.1 Sol slightly ahead: 3level: 1too 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 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.
GPT-6.1 Sol vs. DeepSeek-V4.1-Flash at the same effort
Both models measured at the same reasoning efforts. This shows whether a lead comes from the model or only from more compute.
The gap compares only the Artificial Analysis test series in which both models are measured at that effort. Tied below 3 points, ahead only beyond two standard errors.
Which model for which task?
Everyday tasks, translated from the area values above. Each row names the values it rests on.
GPT-6.1 Sol vs. DeepSeek-V4.1-Flash in our own test
The same prompt for both models. We show the latest attempt without fixes; it does not count toward the overall index.
GPT-6.1 Sol

Oct 1, 2026 · 84 s · $0.04
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-6.1-sol
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 3,583 tokens
- Cost of the attempt
- $0.0359
- Response time
- 83.6 s
- API model reported in response
- openai/gpt-6.1-sol
- Pinned endpoint
- OpenAI | openai/gpt-6.1-sol-20260929
- 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.
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.
GPT-6.1 Sol
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
GPT-6.1 Sol 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 v5)
20 of 95 models
Popularity compared
How often the models are searched for, used and mentioned, on a scale from 0 to 100.
GPT-6.1 Sol has no popularity score yet.
Over time
Weekly values from October 18, 2026 to November 14, 2026
GPT-6.1 SolDeepSeek-V4.1-Flash
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | GPT-6.1 Sol | DeepSeek-V4.1-Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 117.5 | 100.0 |
| Rank | Rank 9 of 95 | Rank 33 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $2above 272,000 tokens: $4 | $0.15 |
| Outputwhat the model writes | $10above 272,000 tokens: $15 | $0.60 |
| Cost per task (own tests)average of 2 original-protocol tasks both models passed (SVG short test not included) | $0.047 | $0.008 |
| Speed | ||
| Tokens per second | 54 | 118 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | n/a | 87Rank 3 of 485 |
| Technical | ||
| Context windowhow much text the model reads at once | 1.05 M tokens≈ 1,580 A4 pages | 1 M tokens≈ 1,500 A4 pages |
| Knowledge cutoff | Apr 30, 2026 | n/a |
| Released | Sep 29, 2026 | Sep 10, 2026 |
| Availability | Active | 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 107.1, rank 18$0.15 input and $0.60 output per 1M tokens
GPT-6.1 Sol vs. DeepSeek V4.1 Flash 1017Overall index 110.5, rank 14$0.10 input and $0.50 output per 1M tokens
View profileOverall index 130.9, rank 1$8 input and $40 output per 1M tokens
GPT-6.1 Sol vs. Claude Fable 5.2Shared 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-6.1 SolB: DeepSeek-V4.1-Flash
Show 54 more benchmarks
More comparisons
Compare GPT-6.1 Sol and DeepSeek-V4.1-Flash with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1Claude Sonnet 5.5 vs. DeepSeek-V4.1-Flash
- 2Gemini 3.8 Flash vs. DeepSeek-V4.1-Flash
- 3Muse Spark 1.3 vs. DeepSeek-V4.1-Flash
- 4GPT-6 Luna vs. DeepSeek-V4.1-Flash
- 5Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 6Claude Opus 5.5 vs. DeepSeek-V4.1-Flash
- 7GPT-6 Sol vs. DeepSeek-V4.1-Flash
- 8Grok 4.7 vs. DeepSeek-V4.1-Flash
- 9GPT-6 Astra vs. DeepSeek-V4.1-Flash
Show all 87 comparisons
- 10Claude Sonnet 5 vs. DeepSeek-V4.1-Flash
- 11DeepSeek-V4.1-Flash vs. Qwen 3.8 Max 0902
- 12GPT-6.1 Sol vs. GPT-5.6 Sol
- 13DeepSeek-V4.1-Flash vs. GLM-5.2
- 14Claude Opus 5 vs. DeepSeek-V4.1-Flash
- 15DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 16DeepSeek-V4.1-Flash vs. GLM-5.3-Flash
- 17Claude Opus 4.6 vs. DeepSeek-V4.1-Flash
- 18GPT-5.6 Terra vs. DeepSeek-V4.1-Flash
- 19DeepSeek-V4.1-Flash vs. MiMo-V2.5-Pro
- 20DeepSeek-V4.1-Flash vs. GLM-5.3
- 21DeepSeek-V4.1-Flash vs. Qwen 3.8 27B
- 22GPT-6.1 Sol vs. GPT-6.1 Terra
- 23Claude Sonnet 4.6 vs. DeepSeek-V4.1-Flash
- 24GPT-5.6 Luna vs. DeepSeek-V4.1-Flash
- 25DeepSeek-V4.1-Flash vs. MiMo-V2.5
- 26DeepSeek-V4.1-Flash vs. Mistral Large 4
- 27Claude Fable 5 vs. DeepSeek-V4.1-Flash
- 28DeepSeek-V4.1-Flash vs. Kimi K3
- 29GPT-5.6 Sol vs. DeepSeek-V4.1-Flash
- 30Gemini 3.1 Pro Preview vs. DeepSeek-V4.1-Flash
- 31Gemini 3.6 Flash vs. DeepSeek-V4.1-Flash
- 32GPT-6.1 Sol vs. GPT-6 Astra
- 33Claude Opus 4.8 vs. DeepSeek-V4.1-Flash
- 34Gemini 3.5 Flash-Lite vs. DeepSeek-V4.1-Flash
- 35GPT-6.1 Sol vs. GPT-5.6 Terra
- 36DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
- 37Claude Haiku 4.5 vs. DeepSeek-V4.1-Flash
- 38DeepSeek-V4.1-Flash vs. GLM-5.1
- 39Claude Sonnet 4.5 vs. DeepSeek-V4.1-Flash
- 40GPT-6.1 Sol vs. Gemini 3.8 Flash
- 41Grok 4.6 vs. DeepSeek-V4.1-Flash
- 42Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
- 43DeepSeek-V4.1-Flash vs. Mistral Large 3
- 44Claude Opus 5.5 vs. GPT-6.1 Sol
- 45Claude Sonnet 5.5 vs. GPT-6.1 Sol
- 46Gemini 3.5 Flash vs. DeepSeek-V4.1-Flash
- 47Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 48GPT-6.1 Sol vs. GLM-5.3-Flash
- 49GPT-6.1 Sol vs. GPT-6 Luna
- 50GPT-6.1 Sol vs. Gemini 4 Carbon
- 51Claude Opus 4.8 vs. GPT-6.1 Sol
- 52GPT-6.1 Sol vs. Gemini 4 Argon
- 53GPT-6.1 Sol vs. Kimi K3.1 Pro
- 54GPT-6.1 Sol vs. DeepSeek-V4-Flash
- 55GPT-6.1 Sol vs. GPT-5.4 mini
- 56GPT-6.1 Sol vs. GPT-5.4
- 57GPT-6.1 Sol vs. DeepSeek V4.1 Flash 1017
- 58GPT-6.1 Sol vs. Qwen 3.8 Max 0902
- 59Claude Sonnet 4.6 vs. GPT-6.1 Sol
- 60Claude Opus 4.6 vs. GPT-6.1 Sol
- 61GPT-6.1 Sol vs. GPT-5.6 Luna
- 62DeepSeek-V4.1-Flash vs. Kimi K3.1 Pro
- 63GPT-6.1 Terra vs. DeepSeek-V4.1-Flash
- 64Muse Wonder vs. DeepSeek-V4.1-Flash
- 65Claude Sonnet 5 vs. GPT-6.1 Sol
- 66Claude Opus 5 vs. GPT-6.1 Sol
- 67GPT-6.1 Sol vs. GPT-5.5
- 68Claude Haiku 5.5 vs. GPT-6.1 Sol
- 69Gemini 4 Argon vs. DeepSeek-V4.1-Flash
- 70GPT-6.1 Sol vs. Grok 4.7
- 71Claude Sonnet 4.5 vs. GPT-6.1 Sol
- 72GPT-6.1 Sol vs. Gemini 3.5 Flash
- 73Claude Opus 4.7 vs. GPT-6.1 Sol
- 74GPT-6.1 Sol vs. GLM-5.3
- 75Claude Fable 5.2 vs. GPT-6.1 Sol
- 76GPT-6.1 Sol vs. Gemini 3.7 Flash
- 77GPT-6.1 Sol vs. Qwen 3.8 27B
- 78Claude Fable 5.1 vs. GPT-6.1 Sol
- 79GPT-6.1 Sol vs. Gemini 3.1 Pro Preview
- 80GPT-6.1 Sol vs. Gemini 3.6 Flash
- 81GPT-6.1 Sol vs. Kimi K3
- 82Claude Fable 5 vs. GPT-6.1 Sol
- 83GPT-6.1 Sol vs. DeepSeek-V4-Pro
- 84GPT-6.1 Sol vs. Muse Wonder
- 85Claude Haiku 4.5 vs. GPT-6.1 Sol
- 86Gemini 4 Carbon vs. DeepSeek-V4.1-Flash
- 87Claude Opus 4.5 vs. GPT-6.1 Sol