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- GPT-6 Astra vs. DeepSeek-V4.1-Flash
OpenAIDeepSeekLLM matchup
GPT-6 Astravs.DeepSeek-V4.1-Flash
Which one is better?
GPT-6 Astra performs better than DeepSeek-V4.1-Flash, but costs 66.7 times (input) and 83.3 times (output) as much.
GPT-6 Astra
Rank 6
DeepSeek-V4.1-Flash
Rank 29
GPT-6 Astra
DeepSeek-V4.1-Flash
GPT-6 Astra
DeepSeek-V4.1-Flash
GPT-6 Astra
Rank 3 of 876
DeepSeek-V4.1-Flash
Rank 312 of 876
Above 272,000 tokens of context, GPT-6 Astra costs more: $20 input and $75 output per 1M tokens.
Choose GPT-6 Astra for
Choose DeepSeek-V4.1-Flash for
No clear advantage
On this page
Where is the difference?
Strengths at a glance
GPT-6 AstraDeepSeek-V4.1-FlashMedian of all ranked models
95 % range: GPT-6 Astra 116.1 to 132.6, 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 90 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 Astra is ahead in 6 of 10 areas, DeepSeek-V4.1-Flash in none.
GPT-6 Astra ahead: 6GPT-6 Astra slightly ahead: 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-6 Astra 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-6 Astra | DeepSeek-V4.1-Flash | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| max | 121.3 | 99.7 | 11.2 | GPT-6 Astra slightly ahead | 5 |
| Overall index (max vs. max) | 121.3 | 99.7 | 21.6 | GPT-6 Astra 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-6 Astra

Sep 7, 2026 · 142 s · $0.20
Test details
- Run date
- Sep 7, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-6-astra
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 3,966 tokens
- Cost of the attempt
- $0.1985
- Response time
- 141.7 s
- API model reported in response
- openai/gpt-6-astra
- Pinned endpoint
- OpenAI | openai/gpt-6-astra-20260903
- 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 Astra
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 Astra 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
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-6 Astra is more popular than DeepSeek-V4.1-Flash: 78 to 38 out of 100.
Over time
Weekly values from October 18, 2026 to November 6, 2026
GPT-6 AstraDeepSeek-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 Astra | DeepSeek-V4.1-Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 121.3 | 99.7 |
| Rank | Rank 6 of 92 | Rank 29 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $10above 272,000 tokens: $20 | $0.15 |
| Outputwhat the model writes | $50above 272,000 tokens: $75 | $0.60 |
| Cost per task (own tests)average of 2 original-protocol tasks both models passed (SVG short test not included) | $0.30 | $0.008 |
| Speed | ||
| Tokens per second | 43 | 176 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 78Rank 3 of 876 | 38Rank 312 of 876 |
| 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 3, 2026 | Sep 10, 2026 |
| Availability | Limited access | 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
GPT-6 Astra vs. DeepSeek V4.1 Flash 1017Overall index 103.4, rank 20$0.10 input and $0.50 output per 1M tokens
GPT-6 Astra vs. Claude Haiku 5.5Overall index 126.1, rank 1$4 input and $20 output per 1M tokens
GPT-6 Astra 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: GPT-6 AstraB: DeepSeek-V4.1-Flash
Show 54 more benchmarks
More comparisons
Compare GPT-6 Astra 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. GPT-6 Astra
- 2GPT-6.1 Sol vs. GPT-6 Astra
- 3GPT-6 Astra vs. Gemini 4 Argon
- 4Gemini 3.8 Flash vs. DeepSeek-V4.1-Flash
- 5Muse Spark 1.3 vs. DeepSeek-V4.1-Flash
- 6Claude Sonnet 5.5 vs. DeepSeek-V4.1-Flash
- 7Claude Opus 5.5 vs. DeepSeek-V4.1-Flash
- 8GPT-6 Luna vs. DeepSeek-V4.1-Flash
- 9GPT-6 Sol vs. DeepSeek-V4.1-Flash
Show all 77 comparisons
- 10Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 11GPT-6 Astra vs. Kimi K3
- 12GPT-6 Astra vs. GPT-6 Luna
- 13GPT-6 Astra vs. GPT-5.6 Terra
- 14GPT-6 Astra vs. GPT-6 Sol
- 15Grok 4.7 vs. DeepSeek-V4.1-Flash
- 16Claude Sonnet 5 vs. DeepSeek-V4.1-Flash
- 17GPT-6 Astra vs. DeepSeek-V4-Flash
- 18GPT-5.6 Terra vs. DeepSeek-V4.1-Flash
- 19DeepSeek-V4.1-Flash vs. Qwen 3.8 Max 0902
- 20Claude Opus 5 vs. DeepSeek-V4.1-Flash
- 21Claude Opus 4.6 vs. DeepSeek-V4.1-Flash
- 22DeepSeek-V4.1-Flash vs. GLM-5.3-Flash
- 23Claude Opus 5 vs. GPT-6 Astra
- 24Claude Haiku 5.5 vs. GPT-6 Astra
- 25Claude Sonnet 4.6 vs. DeepSeek-V4.1-Flash
- 26GPT-6 Astra vs. GLM-5.3-Flash
- 27GPT-6 Astra vs. Qwen 3.8 27B
- 28Claude Opus 4.8 vs. GPT-6 Astra
- 29DeepSeek-V4.1-Flash vs. Mistral Large 4
- 30DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 31DeepSeek-V4.1-Flash vs. GLM-5.2
- 32Claude Fable 5.1 vs. GPT-6 Astra
- 33GPT-6.1 Terra vs. GPT-6 Astra
- 34GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 35Gemini 3.1 Pro Preview vs. DeepSeek-V4.1-Flash
- 36Claude Opus 4.6 vs. GPT-6 Astra
- 37GPT-6 Astra vs. Qwen 3.8 Max 0902
- 38DeepSeek-V4.1-Flash vs. MiMo-V2.5-Pro
- 39GPT-6 Astra vs. GLM-5.3
- 40DeepSeek-V4.1-Flash vs. GLM-5.3
- 41GPT-6 Astra vs. Muse Wonder Full
- 42Gemini 3.5 Flash-Lite vs. DeepSeek-V4.1-Flash
- 43GPT-6 Astra vs. Gemini 3.8 Flash
- 44Gemini 3.6 Flash vs. DeepSeek-V4.1-Flash
- 45Claude Opus 4.8 vs. DeepSeek-V4.1-Flash
- 46Claude Haiku 4.5 vs. DeepSeek-V4.1-Flash
- 47GPT-6 Astra vs. DeepSeek V4.1 Flash 1017
- 48Claude Sonnet 5 vs. GPT-6 Astra
- 49Claude Sonnet 5.5 vs. GPT-6 Astra
- 50DeepSeek-V4.1-Flash vs. Kimi K3
- 51GPT-5.6 Sol vs. DeepSeek-V4.1-Flash
- 52Claude Sonnet 4.6 vs. GPT-6 Astra
- 53GPT-6 Astra vs. GLM-5.2
- 54Claude Fable 5 vs. DeepSeek-V4.1-Flash
- 55GPT-6 Astra vs. Muse Wonder
- 56GPT-5.6 Luna vs. DeepSeek-V4.1-Flash
- 57Gemini 4 Argon vs. DeepSeek-V4.1-Flash
- 58Claude Fable 5 vs. GPT-6 Astra
- 59DeepSeek-V4.1-Flash vs. Qwen 3.8 27B
- 60GPT-6 Astra vs. GPT-5.4
- 61Grok 4.6 vs. DeepSeek-V4.1-Flash
- 62DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
- 63DeepSeek-V4.1-Flash vs. MiMo-V2.5
- 64Claude Opus 4.7 vs. GPT-6 Astra
- 65Claude Sonnet 4.5 vs. DeepSeek-V4.1-Flash
- 66Claude Opus 4.5 vs. GPT-6 Astra
- 67Claude Fable 5.1 vs. DeepSeek-V4.1-Flash
- 68Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
- 69Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 70DeepSeek-V4.1-Flash vs. GLM-5.1
- 71DeepSeek-V4.1-Flash vs. Mistral Large 3
- 72Gemini 3.5 Flash vs. DeepSeek-V4.1-Flash
- 73GPT-6 Astra vs. Gemini 4 Carbon
- 74GPT-6.1 Terra vs. DeepSeek-V4.1-Flash
- 75GPT-6 Astra vs. Kimi K3.1 Pro
- 76Muse Wonder vs. DeepSeek-V4.1-Flash
- 77DeepSeek-V4.1-Flash vs. Kimi K3.1 Pro