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- GPT-6.1 Sol vs. DeepSeek-V4-Pro
OpenAIDeepSeekLLM matchup
GPT-6.1 Solvs.DeepSeek-V4-Pro
Which one is better?
GPT-6.1 Sol performs better than DeepSeek-V4-Pro, but costs 3 times (input) and 5.1 times (output) as much.
GPT-6.1 Sol
Rank 9
DeepSeek-V4-Pro
Rank 48
GPT-6.1 Sol
DeepSeek-V4-Pro
GPT-6.1 Sol
DeepSeek-V4-Pro
GPT-6.1 Sol
DeepSeek-V4-Pro
Rank 26 of 485
Above 272,000 tokens of context, GPT-6.1 Sol costs more: $4 input and $15 output per 1M tokens.
Choose GPT-6.1 Sol for
No clear advantage for DeepSeek-V4-Pro.
Compare other versions
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On this page
Where is the difference?
Strengths at a glance
GPT-6.1 SolDeepSeek-V4-ProMedian of all ranked models
95 % range: GPT-6.1 Sol 113.7 to 127.5, DeepSeek-V4-Pro 85.5 to 96.6.
The same values and verdicts as the bars below. In the close-up the net starts at 70 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: Multimodal.
GPT-6.1 Sol is ahead in 9 of 10 areas, DeepSeek-V4-Pro in none.
GPT-6.1 Sol ahead: 9too little data: 1
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-Pro 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-Pro 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-Pro
The response reached the token limit. No complete recording is available.
Oct 5, 2026 · 68 s · $0.02
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-pro-0813
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,192 tokens
- Cost of the attempt
- $0.0163
- Response time
- 67.6 s
- API model reported in response
- deepseek/deepseek-v4-pro-0813
- Pinned endpoint
- DeepSeek | deepseek/deepseek-v4-pro-20260813
- 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
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-Pro

Oct 14, 2026 · $0.0020
Test details
- Test run
- Oct 14, 2026
- Provider
- streamlake
- API model
- deepseek/deepseek-v4-pro-0813
- Output
- 963 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0020
- Test round
- 43b8c5c46830
GPT-6.1 Sol and DeepSeek-V4-Pro 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-Pro
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-Pro |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 117.5 | 87.1 |
| Rank | Rank 9 of 95 | Rank 48 of 95 |
| Price per 1M tokens | ||
| Inputwhat you send | $2above 272,000 tokens: $4 | $0.66 |
| Outputwhat the model writes | $10above 272,000 tokens: $15 | $1.98 |
| Cost per task (own tests)average of 1 original-protocol task both models passed (SVG short test not included) | $0.038 | $0.021 |
| Speed | ||
| Tokens per second | 54 | 42 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | n/a | 75Rank 26 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 | Apr 24, 2026 |
| Availability | Active | Active |
| Open weights | no | yes |
- DeepSeek-V4-Pro: 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 $1.32 input and $3.96 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 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-Pro
Show 54 more benchmarks
More comparisons
Compare GPT-6.1 Sol and DeepSeek-V4-Pro with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1Claude Opus 5.5 vs. DeepSeek-V4-Pro
- 2GPT-6.1 Sol vs. GPT-5.6 Sol
- 3DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 4GPT-6 Luna vs. DeepSeek-V4-Pro
- 5Gemini 3.8 Flash vs. DeepSeek-V4-Pro
- 6Claude Sonnet 5.5 vs. DeepSeek-V4-Pro
- 7GPT-6.1 Sol vs. GPT-6.1 Terra
- 8Claude Opus 5 vs. DeepSeek-V4-Pro
- 9DeepSeek-V4-Pro vs. Qwen 3.8 27B
Show all 67 comparisons
- 10Claude Haiku 5.5 vs. DeepSeek-V4-Pro
- 11Grok 4.7 vs. DeepSeek-V4-Pro
- 12DeepSeek-V4-Pro vs. DeepSeek V4.1 Flash 1017
- 13DeepSeek-V4-Pro vs. Kimi K3
- 14GPT-5.6 Sol vs. DeepSeek-V4-Pro
- 15DeepSeek-V4-Pro vs. MiMo-V2.5-Pro
- 16DeepSeek-V4-Pro vs. GLM-5.3
- 17DeepSeek-V4-Pro vs. Qwen 3.8 Max 0902
- 18GPT-6.1 Sol vs. GPT-6 Astra
- 19DeepSeek-V4-Pro vs. GLM-5.3-Flash
- 20GPT-6.1 Sol vs. GPT-5.6 Terra
- 21DeepSeek-V4-Pro vs. Mistral Large 4
- 22DeepSeek-V4-Pro vs. MiMo-V2.5
- 23GPT-5.6 Luna vs. DeepSeek-V4-Pro
- 24GPT-6 Sol vs. DeepSeek-V4-Pro
- 25GPT-6.1 Sol vs. Gemini 3.8 Flash
- 26Claude Opus 5.5 vs. GPT-6.1 Sol
- 27Claude Sonnet 5.5 vs. GPT-6.1 Sol
- 28GPT-6.1 Sol vs. GLM-5.3-Flash
- 29GPT-6.1 Sol vs. GPT-6 Luna
- 30Claude Opus 4.5 vs. DeepSeek-V4-Pro
- 31GPT-6.1 Sol vs. Gemini 4 Carbon
- 32GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 33Claude Opus 4.8 vs. GPT-6.1 Sol
- 34GPT-6.1 Sol vs. Gemini 4 Argon
- 35GPT-6.1 Sol vs. Kimi K3.1 Pro
- 36GPT-6.1 Sol vs. DeepSeek-V4-Flash
- 37GPT-6.1 Sol vs. GPT-5.4 mini
- 38GPT-6.1 Sol vs. GPT-5.4
- 39GPT-6.1 Sol vs. DeepSeek V4.1 Flash 1017
- 40GPT-6.1 Sol vs. Qwen 3.8 Max 0902
- 41Claude Sonnet 4.6 vs. GPT-6.1 Sol
- 42Claude Opus 4.6 vs. GPT-6.1 Sol
- 43GPT-6.1 Sol vs. GPT-5.6 Luna
- 44Gemini 4 Argon vs. DeepSeek-V4-Pro
- 45Claude Sonnet 5 vs. GPT-6.1 Sol
- 46Claude Opus 5 vs. GPT-6.1 Sol
- 47GPT-6.1 Sol vs. GPT-5.5
- 48Claude Haiku 5.5 vs. GPT-6.1 Sol
- 49DeepSeek-V4-Pro vs. Kimi K3.1 Pro
- 50GPT-6.1 Sol vs. Grok 4.7
- 51Claude Sonnet 4.5 vs. GPT-6.1 Sol
- 52GPT-6.1 Sol vs. Gemini 3.5 Flash
- 53Claude Opus 4.7 vs. GPT-6.1 Sol
- 54GPT-6.1 Sol vs. GLM-5.3
- 55Claude Fable 5.2 vs. GPT-6.1 Sol
- 56GPT-6.1 Sol vs. Gemini 3.7 Flash
- 57GPT-6.1 Sol vs. Qwen 3.8 27B
- 58Claude Fable 5.1 vs. GPT-6.1 Sol
- 59GPT-6.1 Sol vs. Gemini 3.1 Pro Preview
- 60GPT-6.1 Sol vs. Gemini 3.6 Flash
- 61GPT-6.1 Sol vs. Kimi K3
- 62Claude Fable 5 vs. GPT-6.1 Sol
- 63GPT-6.1 Sol vs. Muse Wonder
- 64Claude Haiku 4.5 vs. GPT-6.1 Sol
- 65GPT-6.1 Terra vs. DeepSeek-V4-Pro
- 66Gemini 4 Carbon vs. DeepSeek-V4-Pro
- 67Claude Opus 4.5 vs. GPT-6.1 Sol