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- GPT-5.6 Terra vs. DeepSeek-V4.1-Flash
OpenAIDeepSeekLLM matchup
GPT-5.6 Terravs.DeepSeek-V4.1-Flash
Which one is better?
GPT-5.6 Terra and DeepSeek-V4.1-Flash perform about equally well, but GPT-5.6 Terra costs 13.3 times (input) and 20 times (output) as much.
GPT-5.6 Terra
Rank 26
DeepSeek-V4.1-Flash
Rank 29
GPT-5.6 Terra
DeepSeek-V4.1-Flash
GPT-5.6 Terra
DeepSeek-V4.1-Flash
GPT-5.6 Terra
Rank 24 of 876
DeepSeek-V4.1-Flash
Rank 312 of 876
Above 272,000 tokens of context, GPT-5.6 Terra costs more: $4 input and $18 output per 1M tokens.
Choose GPT-5.6 Terra for
Choose DeepSeek-V4.1-Flash for
On this page
Where is the difference?
Strengths at a glance
GPT-5.6 TerraDeepSeek-V4.1-FlashMedian of all ranked models
95 % range: GPT-5.6 Terra 98.6 to 109.3, 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-5.6 Terra is ahead in 2 of 10 areas, DeepSeek-V4.1-Flash in none.
GPT-5.6 Terra ahead: 2GPT-5.6 Terra slightly ahead: 2level: 3too little data: 2DeepSeek-V4.1-Flash slightly ahead: 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 3 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 Terra 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 Terra | DeepSeek-V4.1-Flash | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| max | 100.7 | 99.7 | 2.8 | tied | 3 |
| Overall index (max vs. max) | 100.7 | 99.7 | 1.0 | level |
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 Terra

Sep 7, 2026 · 65 s · $0.04
Test details
- Run date
- Sep 7, 2026
- API provider
- openrouter
- Requested API model
- openai/gpt-5.6-terra
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 3,373 tokens
- Cost of the attempt
- $0.0405
- Response time
- 64.6 s
- API model reported in response
- openai/gpt-5.6-terra
- Pinned endpoint
- OpenAI | openai/gpt-5.6-terra-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.
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 Terra
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 Terra 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-5.6 Terra is more popular than DeepSeek-V4.1-Flash: 64 to 38 out of 100.
Over time
Weekly values from October 18, 2026 to November 6, 2026
GPT-5.6 TerraDeepSeek-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 Terra | DeepSeek-V4.1-Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 100.7 | 99.7 |
| Rank | Rank 26 of 92 | Rank 29 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $2above 272,000 tokens: $4 | $0.15 |
| Outputwhat the model writes | $12above 272,000 tokens: $18 | $0.60 |
| Cost per task (own tests)average of 2 original-protocol tasks both models passed (SVG short test not included) | $0.05 | $0.008 |
| Speed | ||
| Tokens per second | 100 | 176 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 64Rank 24 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 | 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 105.3, rank 19$1 input and $5 output per 1M tokens
DeepSeek-V4.1-Flash vs. GPT-6.1 TerraOverall index 106.6, rank 17$0.15 input and $0.60 output per 1M tokens
GPT-5.6 Terra vs. DeepSeek V4.1 Flash 1017Overall index 103.4, rank 20$0.10 input and $0.50 output per 1M tokens
GPT-5.6 Terra 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 TerraB: DeepSeek-V4.1-Flash
Show 54 more benchmarks
More comparisons
Compare GPT-5.6 Terra and DeepSeek-V4.1-Flash with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1GPT-6 Luna vs. GPT-5.6 Terra
- 2Gemini 3.8 Flash vs. DeepSeek-V4.1-Flash
- 3Muse Spark 1.3 vs. DeepSeek-V4.1-Flash
- 4Claude Sonnet 5.5 vs. DeepSeek-V4.1-Flash
- 5Claude Opus 5.5 vs. DeepSeek-V4.1-Flash
- 6GPT-6 Luna vs. DeepSeek-V4.1-Flash
- 7GPT-6 Sol vs. DeepSeek-V4.1-Flash
- 8Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 9Claude Opus 5.5 vs. GPT-5.6 Terra
Show all 58 comparisons
- 10Claude Sonnet 5.5 vs. GPT-5.6 Terra
- 11GPT-6 Sol vs. GPT-5.6 Terra
- 12GPT-6.1 Sol vs. GPT-5.6 Terra
- 13GPT-6 Astra vs. GPT-5.6 Terra
- 14GPT-6 Astra vs. DeepSeek-V4.1-Flash
- 15Grok 4.7 vs. DeepSeek-V4.1-Flash
- 16Claude Sonnet 5 vs. DeepSeek-V4.1-Flash
- 17DeepSeek-V4.1-Flash vs. Qwen 3.8 Max 0902
- 18Claude Opus 5 vs. DeepSeek-V4.1-Flash
- 19Claude Opus 4.6 vs. DeepSeek-V4.1-Flash
- 20DeepSeek-V4.1-Flash vs. GLM-5.3-Flash
- 21Claude Sonnet 4.6 vs. DeepSeek-V4.1-Flash
- 22DeepSeek-V4.1-Flash vs. Mistral Large 4
- 23DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 24DeepSeek-V4.1-Flash vs. GLM-5.2
- 25GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 26Gemini 3.1 Pro Preview vs. DeepSeek-V4.1-Flash
- 27DeepSeek-V4.1-Flash vs. MiMo-V2.5-Pro
- 28GPT-5.6 Terra vs. Grok 4.7
- 29DeepSeek-V4.1-Flash vs. GLM-5.3
- 30GPT-5.6 Terra vs. Gemini 4 Argon
- 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
- 35Claude Opus 5 vs. GPT-5.6 Terra
- 36DeepSeek-V4.1-Flash vs. Kimi K3
- 37GPT-5.6 Sol vs. DeepSeek-V4.1-Flash
- 38Claude Fable 5 vs. DeepSeek-V4.1-Flash
- 39GPT-5.6 Luna vs. DeepSeek-V4.1-Flash
- 40Gemini 4 Argon vs. DeepSeek-V4.1-Flash
- 41GPT-5.6 Terra vs. Gemini 3.7 Flash
- 42Claude Sonnet 4.6 vs. GPT-5.6 Terra
- 43DeepSeek-V4.1-Flash vs. Qwen 3.8 27B
- 44GPT-5.6 Terra vs. Gemini 3.1 Pro Preview
- 45Grok 4.6 vs. DeepSeek-V4.1-Flash
- 46GPT-5.6 Terra vs. GPT-5.4
- 47DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
- 48DeepSeek-V4.1-Flash vs. MiMo-V2.5
- 49Claude Sonnet 4.5 vs. DeepSeek-V4.1-Flash
- 50Claude Fable 5.1 vs. DeepSeek-V4.1-Flash
- 51Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
- 52Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 53DeepSeek-V4.1-Flash vs. GLM-5.1
- 54DeepSeek-V4.1-Flash vs. Mistral Large 3
- 55Gemini 3.5 Flash vs. DeepSeek-V4.1-Flash
- 56GPT-6.1 Terra vs. DeepSeek-V4.1-Flash
- 57Muse Wonder vs. DeepSeek-V4.1-Flash
- 58DeepSeek-V4.1-Flash vs. Kimi K3.1 Pro