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- Claude Sonnet 4.6 vs. DeepSeek-V4.1-Flash
AnthropicDeepSeekLLM matchup
Claude Sonnet 4.6vs.DeepSeek-V4.1-Flash
Which one is better?
DeepSeek-V4.1-Flash performs better than Claude Sonnet 4.6 and is cheaper: Claude Sonnet 4.6 costs 20 times (input) and 25 times (output) as much.
Claude Sonnet 4.6
Rank 44
DeepSeek-V4.1-Flash
Rank 29
Claude Sonnet 4.6
DeepSeek-V4.1-Flash
Claude Sonnet 4.6
DeepSeek-V4.1-Flash
Claude Sonnet 4.6
Rank 72 of 876
DeepSeek-V4.1-Flash
Rank 312 of 876
Choose Claude Sonnet 4.6 for
No clear advantage
Choose DeepSeek-V4.1-Flash for
On this page
Where is the difference?
Strengths at a glance
Sonnet 4.6DeepSeek-V4.1-FlashMedian of all ranked models
95 % range: Sonnet 4.6 80.1 to 93.7, 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 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: Reasoning, Mathematics, Knowledge.
DeepSeek-V4.1-Flash is ahead in 6 of 10 areas, Sonnet 4.6 in none.
too little data: 3DeepSeek-V4.1-Flash slightly ahead: 1DeepSeek-V4.1-Flash ahead: 6
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.
Claude Sonnet 4.6 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 | Sonnet 4.6 | DeepSeek-V4.1-Flash | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| max | 86.4 | 99.7 | 14.3 | DeepSeek-V4.1-Flash ahead | 4 |
| Overall index (max vs. max) | 86.4 | 99.7 | 13.3 | DeepSeek-V4.1-Flash 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
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.
Claude Sonnet 4.6

Oct 14, 2026 · $0.0113
Test details
- Test run
- Oct 14, 2026
- Provider
- anthropic
- API model
- anthropic/claude-sonnet-4.6
- Output
- 738 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0113
- Test round
- 43b8c5c46830
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
Earlier tests
Claude Sonnet 4.6
The response reached the token limit. No complete recording is available.
Oct 6, 2026 · 106 s · $0.12
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Test details
- Run date
- Oct 6, 2026
- API provider
- openrouter
- Requested API model
- anthropic/claude-sonnet-4.6
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 8,192 tokens
- Cost of the attempt
- $0.1229
- Response time
- 106 s
- API model reported in response
- anthropic/claude-sonnet-4.6
- Pinned endpoint
- Anthropic | anthropic/claude-4.6-sonnet-20260217
- 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
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
Claude Sonnet 4.6 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.
Claude Sonnet 4.6 is more popular than DeepSeek-V4.1-Flash: 54 to 38 out of 100.
Over time
Weekly values from October 18, 2026 to November 6, 2026
Claude Sonnet 4.6DeepSeek-V4.1-Flash
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Claude Sonnet 4.6 | DeepSeek-V4.1-Flash |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 86.4 | 99.7 |
| Rank | Rank 44 of 92 | Rank 29 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $3 | $0.15 |
| Outputwhat the model writes | $15 | $0.60 |
| Speed | ||
| Tokens per second | 60 | 176 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 54Rank 72 of 876 | 38Rank 312 of 876 |
| Technical | ||
| Context windowhow much text the model reads at once | 1 M tokens≈ 1,500 A4 pages | 1 M tokens≈ 1,500 A4 pages |
| Knowledge cutoff | August 2025 | n/a |
| Released | February 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 92.1, rank 40$2 input and $10 output per 1M tokens
DeepSeek-V4.1-Flash vs. Claude Sonnet 5Overall index 106.6, rank 17$0.15 input and $0.60 output per 1M tokens
Sonnet 4.6 vs. DeepSeek V4.1 Flash 1017Overall index 103.4, rank 20$0.10 input and $0.50 output per 1M tokens
DeepSeek-V4.1-Flash 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: Claude Sonnet 4.6B: DeepSeek-V4.1-Flash
Show 54 more benchmarks
More comparisons
Compare Claude Sonnet 4.6 and DeepSeek-V4.1-Flash with the models people compare them with most often.
Compare another matchup
Predecessor and successor
- PredecessorClaude Sonnet 4.6 vs. Claude Sonnet 4.5Predecessor of Claude Sonnet 4.6
- SuccessorClaude Sonnet 4.6 vs. Claude Sonnet 5Successor of Claude Sonnet 4.6
- PredecessorDeepSeek-V4.1-Flash vs. DeepSeek-V4-FlashPredecessor of DeepSeek-V4.1-Flash
- SuccessorDeepSeek-V4.1-Flash vs. DeepSeek V4.1 Flash 1017Successor of DeepSeek-V4.1-Flash
The most popular comparisons
- 1Gemini 3.8 Flash vs. DeepSeek-V4.1-Flash
- 2Muse Spark 1.3 vs. DeepSeek-V4.1-Flash
- 3Claude Sonnet 5.5 vs. DeepSeek-V4.1-Flash
- 4Claude Opus 5.5 vs. DeepSeek-V4.1-Flash
- 5GPT-6 Luna vs. DeepSeek-V4.1-Flash
- 6GPT-6 Sol vs. DeepSeek-V4.1-Flash
- 7Claude Sonnet 4.6 vs. Gemini 3.8 Flash
- 8Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 9Claude Opus 5.5 vs. Claude Sonnet 4.6
Show all 66 comparisons
- 10GPT-6 Astra vs. DeepSeek-V4.1-Flash
- 11Grok 4.7 vs. DeepSeek-V4.1-Flash
- 12Claude Sonnet 5 vs. DeepSeek-V4.1-Flash
- 13GPT-5.6 Terra vs. DeepSeek-V4.1-Flash
- 14DeepSeek-V4.1-Flash vs. Qwen 3.8 Max 0902
- 15Claude Sonnet 4.6 vs. GPT-6 Luna
- 16Claude Sonnet 4.6 vs. GLM-5.3-Flash
- 17Claude Opus 5 vs. DeepSeek-V4.1-Flash
- 18Claude Opus 4.6 vs. DeepSeek-V4.1-Flash
- 19DeepSeek-V4.1-Flash vs. GLM-5.3-Flash
- 20Claude Sonnet 5.5 vs. Claude Sonnet 4.6
- 21DeepSeek-V4.1-Flash vs. Mistral Large 4
- 22DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 23DeepSeek-V4.1-Flash vs. GLM-5.2
- 24Claude Sonnet 4.6 vs. Qwen 3.8 27B
- 25GPT-6.1 Sol vs. DeepSeek-V4.1-Flash
- 26Claude Sonnet 4.6 vs. GPT-6 Sol
- 27Gemini 3.1 Pro Preview vs. DeepSeek-V4.1-Flash
- 28DeepSeek-V4.1-Flash vs. MiMo-V2.5-Pro
- 29Claude Haiku 5.5 vs. Claude Sonnet 4.6
- 30DeepSeek-V4.1-Flash vs. GLM-5.3
- 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 Sonnet 4.6 vs. Gemini 4 Argon
- 35Claude Haiku 4.5 vs. DeepSeek-V4.1-Flash
- 36DeepSeek-V4.1-Flash vs. Kimi K3
- 37Claude Sonnet 4.6 vs. Grok 4.7
- 38GPT-5.6 Sol vs. DeepSeek-V4.1-Flash
- 39Claude Sonnet 4.6 vs. GPT-6 Astra
- 40Claude Fable 5 vs. DeepSeek-V4.1-Flash
- 41Claude Sonnet 4.6 vs. GPT-6.1 Sol
- 42GPT-5.6 Luna vs. DeepSeek-V4.1-Flash
- 43Claude Sonnet 4.6 vs. DeepSeek V4.1 Flash 1017
- 44Gemini 4 Argon vs. DeepSeek-V4.1-Flash
- 45Claude Sonnet 4.6 vs. GPT-5.6 Terra
- 46DeepSeek-V4.1-Flash vs. Qwen 3.8 27B
- 47Claude Sonnet 4.6 vs. GLM-5.3
- 48Grok 4.6 vs. DeepSeek-V4.1-Flash
- 49Claude Opus 4.6 vs. Claude Sonnet 4.6
- 50DeepSeek-V4.1-Flash vs. Mistral Medium 3.5
- 51DeepSeek-V4.1-Flash vs. MiMo-V2.5
- 52Claude Sonnet 4.5 vs. DeepSeek-V4.1-Flash
- 53Claude Fable 5.1 vs. DeepSeek-V4.1-Flash
- 54Claude Opus 4.5 vs. DeepSeek-V4.1-Flash
- 55Claude Opus 4.7 vs. DeepSeek-V4.1-Flash
- 56DeepSeek-V4.1-Flash vs. GLM-5.1
- 57Claude Opus 4.7 vs. Claude Sonnet 4.6
- 58Claude Sonnet 4.6 vs. Claude Haiku 4.5
- 59Claude Opus 4.5 vs. Claude Sonnet 4.6
- 60DeepSeek-V4.1-Flash vs. Mistral Large 3
- 61Gemini 3.5 Flash vs. DeepSeek-V4.1-Flash
- 62GPT-6.1 Terra vs. DeepSeek-V4.1-Flash
- 63Claude Sonnet 4.6 vs. GPT-6.1 Terra
- 64Muse Wonder vs. DeepSeek-V4.1-Flash
- 65DeepSeek-V4.1-Flash vs. Kimi K3.1 Pro
- 66Claude Sonnet 4.6 vs. Gemini 4 Carbon