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- GPT-5.6 Sol vs. DeepSeek-V4.1-Flash
OpenAIDeepSeekLLM matchup
GPT-5.6 Solvs.DeepSeek-V4.1-Flash
Which one is better?
GPT-5.6 Sol performs better than DeepSeek-V4.1-Flash, but costs 26.7 times (input) and 33.3 times (output) as much.
GPT-5.6 Sol
Rank 14
DeepSeek-V4.1-Flash
Rank 29
GPT-5.6 Sol
DeepSeek-V4.1-Flash
GPT-5.6 Sol
DeepSeek-V4.1-Flash
GPT-5.6 Sol
Rank 55 of 875
DeepSeek-V4.1-Flash
Rank 298 of 875
Above 272,000 tokens of context, GPT-5.6 Sol costs more: $8 input and $30 output per 1M tokens.
Choose GPT-5.6 Sol for
Choose DeepSeek-V4.1-Flash for
No clear advantage
On this page
Where is the difference?
Strengths at a glance
GPT-5.6 SolDeepSeek-V4.1-Flash
The median of all ranked models is below 100 in every area, so it sits in the centre of the net.
95 % range: GPT-5.6 Sol 106.7 to 116.0, DeepSeek-V4.1-Flash 91.4 to 106.3.
The same values and verdicts as the bars below. In the top field the net starts at 100 points, the reference group average; values below sit as a hollow point in the centre. Not in the net because a model has no own value there or the data are too thin: Reasoning, Knowledge.
GPT-5.6 Sol is ahead in 6 of 10 areas, DeepSeek-V4.1-Flash in none.
GPT-5.6 Sol ahead: 6level: 2too 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-5.6 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.
| Effort | GPT-5.6 Sol | DeepSeek-V4.1-Flash | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| max | 108.7 | 99.7 | 11.3 | GPT-5.6 Sol ahead | 4 |
| Overall index (max vs. max) | 108.7 | 99.7 | 9.0 | GPT-5.6 Sol ahead |
Gap and verdict compare 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. The single values rest on all test series of each model, so their difference can deviate from the gap.
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.
GPT-5.6 Sol

Oct 1, 2026 · 59 s · $0.05
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-5.6-sol
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 4,633 tokens
- Cost of the attempt
- $0.0464
- Response time
- 58.7 s
- API model reported in response
- openai/gpt-5.6-sol
- Pinned endpoint
- OpenAI | openai/gpt-5.6-sol-20260709
- 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
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-5.6 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-5.6 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 v4)
20 of 91 models
4 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.
GPT-5.6 Sol is more popular than DeepSeek-V4.1-Flash: 56 to 38 out of 100.
Over time
Weekly values from October 18, 2026 to November 5, 2026
GPT-5.6 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-5.6 Sol | DeepSeek-V4.1-Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 108.7 | 99.7 |
| Rank | Rank 14 of 91 | Rank 29 of 91 |
| Price per 1M tokens | ||
| Inputwhat you send | $4above 272,000 tokens: $8 | $0.15 |
| Outputwhat the model writes | $20above 272,000 tokens: $30 | $0.60 |
| Cost per task (own tests)average of 2 tests both passed | $0.063 | $0.008 |
| Speed | ||
| Tokens per second | 101 | 176 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 56Rank 55 of 875 | 38Rank 298 of 875 |
| 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 | Feb 16, 2026 | n/a |
| Released | Jul 9, 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 121.3, rank 6. $10 input and $50 output per 1M tokens.
DeepSeek-V4.1-Flash vs. GPT-6 AstraOverall index 106.6, rank 17. $0.15 input and $0.60 output per 1M tokens.
GPT-5.6 Sol vs. DeepSeek V4.1 Flash 1017Overall index 103.4, rank 20. $0.10 input and $0.50 output per 1M tokens.
GPT-5.6 Sol vs. Claude Haiku 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: GPT-5.6 SolB: DeepSeek-V4.1-Flash
Show 54 more benchmarks
More comparisons
Compare GPT-5.6 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 Opus 5.5 vs. DeepSeek-V4.1-Flash
- 2Gemini 3.8 Flash vs. DeepSeek-V4.1-Flash
- 3GPT-6.1 Sol vs. GPT-5.6 Sol
- 4GPT-6 Luna vs. DeepSeek-V4.1-Flash
- 5Muse Spark 1.3 vs. DeepSeek-V4.1-Flash
- 6GPT-6 Sol vs. GPT-5.6 Sol
- 7Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 8Claude Sonnet 5.5 vs. DeepSeek-V4.1-Flash
- 9GPT-6 Sol vs. DeepSeek-V4.1-Flash
Show all 54 comparisons
- 10GPT-6 Astra vs. DeepSeek-V4.1-Flash
- 11GPT-5.6 Sol vs. Gemini 3.8 Flash
- 12Claude Sonnet 5 vs. DeepSeek-V4.1-Flash
- 13Grok 4.7 vs. DeepSeek-V4.1-Flash
- 14Claude Opus 5 vs. DeepSeek-V4.1-Flash
- 15GPT-5.6 Terra 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 Sol vs. GLM-5.3-Flash
- 19Claude Sonnet 4.6 vs. DeepSeek-V4.1-Flash
- 20DeepSeek-V4.1-Flash vs. Qwen 3.8 Max 0902
- 21GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 22DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 23DeepSeek-V4.1-Flash vs. Mistral Large 4
- 24DeepSeek-V4.1-Flash vs. MiMo-V2.5-Pro
- 25Gemini 3.5 Flash-Lite vs. DeepSeek-V4.1-Flash
- 26Claude Haiku 4.5 vs. DeepSeek-V4.1-Flash
- 27Claude Sonnet 5.5 vs. GPT-5.6 Sol
- 28Gemini 3.1 Pro Preview vs. DeepSeek-V4.1-Flash
- 29GPT-6 Luna vs. GPT-5.6 Sol
- 30GPT-5.6 Sol vs. Gemini 4 Argon
- 31GPT-5.6 Sol vs. DeepSeek-V4-Pro
- 32Claude Fable 5.1 vs. GPT-5.6 Sol
- 33DeepSeek-V4.1-Flash vs. GLM-5.2
- 34Gemini 3.6 Flash vs. DeepSeek-V4.1-Flash
- 35Claude Opus 5.5 vs. GPT-5.6 Sol
- 36DeepSeek-V4.1-Flash vs. GLM-5.3
- 37GPT-5.6 Sol vs. Muse Spark 1.3
- 38Claude Opus 4.8 vs. DeepSeek-V4.1-Flash
- 39Claude Haiku 5.5 vs. GPT-5.6 Sol
- 40DeepSeek-V4.1-Flash vs. Kimi K3
- 41Grok 4.6 vs. DeepSeek-V4.1-Flash
- 42Claude Fable 5 vs. DeepSeek-V4.1-Flash
- 43GPT-5.6 Luna vs. DeepSeek-V4.1-Flash
- 44Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 45Claude Sonnet 4.5 vs. DeepSeek-V4.1-Flash
- 46Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
- 47Claude Fable 5.1 vs. DeepSeek-V4.1-Flash
- 48DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
- 49DeepSeek-V4.1-Flash vs. MiMo-V2.5
- 50DeepSeek-V4.1-Flash vs. GLM-5.1
- 51DeepSeek-V4.1-Flash vs. Mistral Large 3
- 52GPT-5.5 vs. DeepSeek-V4.1-Flash
- 53GPT-5.6 Sol vs. Muse Wonder Full
- 54Muse Wonder Full vs. DeepSeek-V4.1-Flash