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- Claude Opus 5.5 vs. DeepSeek-V4-Pro
AnthropicDeepSeekLLM matchup
Claude Opus 5.5vs.DeepSeek-V4-Pro
Which one is better?
Claude Opus 5.5 performs better than DeepSeek-V4-Pro, but costs 6.1 times (input) and 10.1 times (output) as much.
Claude Opus 5.5
Rank 1
DeepSeek-V4-Pro
Rank 43
Claude Opus 5.5
DeepSeek-V4-Pro
Claude Opus 5.5
DeepSeek-V4-Pro
Claude Opus 5.5
Rank 8 of 785
DeepSeek-V4-Pro
Rank 49 of 785
Choose Claude Opus 5.5 for
Choose DeepSeek-V4-Pro for
No clear advantage
On this page
Where is the difference?
Strengths at a glance
Opus 5.5DeepSeek-V4-ProMedian of all ranked models
95 % range: Opus 5.5 121.2 to 138.7, DeepSeek-V4-Pro 85.8 to 95.0.
The same values and verdicts as the bars below. In the close-up the net starts at 75 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.
Opus 5.5 is ahead in 9 of 10 areas, DeepSeek-V4-Pro in none.
Opus 5.5 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.
Claude Opus 5.5 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.
| Effort | Opus 5.5 | DeepSeek-V4-Pro | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| max | 126.1 | 86.8 | 35.2 | Opus 5.5 ahead | 11 |
| Overall index (max vs. max) | 126.1 | 86.8 | 39.3 | Opus 5.5 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.
Claude Opus 5.5

Oct 1, 2026 · 33 s · $0.07
Test details
- Run date
- Oct 1, 2026
- API provider
- openrouter
- Requested API model
- anthropic/claude-opus-5.5
- Reasoning setting
- high
- Token limit including reasoning
- 8,192 tokens
- Output tokens
- 3,536 tokens
- Cost of the attempt
- $0.0708
- Response time
- 33.2 s
- API model reported in response
- anthropic/claude-opus-5.5
- Pinned endpoint
- Anthropic | anthropic/claude-opus-5.5-20260921
- 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.
Claude Opus 5.5
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
Claude Opus 5.5 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 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 Opus 5.5 is more popular than DeepSeek-V4-Pro: 68 to 56 out of 100.
Over time
Weekly values from October 18, 2026 to November 7, 2026
Claude Opus 5.5DeepSeek-V4-Pro
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Claude Opus 5.5 | DeepSeek-V4-Pro |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 126.1 | 86.8 |
| Rank | Rank 1 of 92 | Rank 43 of 92 |
| Price per 1M tokens | ||
| Inputwhat you send | $4 | $0.66 |
| Outputwhat the model writes | $20 | $1.98 |
| Cost per task (own tests)average of 1 original-protocol task both models passed (SVG short test not included) | $0.11 | $0.021 |
| Speed | ||
| Tokens per second | 106 | 70 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 68Rank 8 of 785 | 56Rank 49 of 785 |
| 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 | June 2026 | n/a |
| Released | Sep 22, 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 106.6, rank 17$0.15 input and $0.60 output per 1M tokens
Opus 5.5 vs. DeepSeek V4.1 Flash 1017Shared 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 Opus 5.5B: DeepSeek-V4-Pro
Show 54 more benchmarks
More comparisons
Compare Claude Opus 5.5 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. GPT-6 Astra
- 2Claude Opus 5.5 vs. Claude Sonnet 5.5
- 3Claude Opus 5.5 vs. Kimi K3.1 Pro
- 4Claude Opus 5.5 vs. Gemini 4 Argon
- 5Claude Opus 5.5 vs. Gemini 3.8 Flash
- 6Claude Opus 5.5 vs. Claude Fable 5.1
- 7Claude Opus 5.5 vs. DeepSeek-V4.1-Flash
- 8Claude Opus 5.5 vs. Qwen 3.8 Max 0902
- 9Claude Opus 5.5 vs. GLM-5.3-Flash
Show all 69 comparisons
- 10Claude Opus 5.5 vs. GPT-6.1 Sol
- 11Claude Opus 5.5 vs. Kimi K3
- 12Claude Opus 5.5 vs. Claude Sonnet 5
- 13Claude Opus 5.5 vs. Claude Haiku 5.5
- 14Claude Opus 5.5 vs. GLM-5.3
- 15Claude Opus 5.5 vs. GPT-5.6 Terra
- 16Claude Opus 5.5 vs. Gemini 3.1 Pro Preview
- 17Claude Opus 5.5 vs. Claude Opus 4.6
- 18Claude Opus 5.5 vs. Claude Sonnet 4.6
- 19Claude Opus 5.5 vs. Qwen 3.8 27B
- 20GPT-6 Luna vs. DeepSeek-V4-Pro
- 21Claude Opus 5.5 vs. Grok 4.6
- 22Claude Opus 5.5 vs. GLM-5.2
- 23Claude Opus 5.5 vs. Gemini 4 Carbon
- 24Claude Opus 5.5 vs. DeepSeek V4.1 Flash 1017
- 25Claude Opus 5.5 vs. Claude Sonnet 4.5
- 26Claude Opus 5.5 vs. Muse Spark 1.3
- 27Gemini 3.8 Flash vs. DeepSeek-V4-Pro
- 28Claude Opus 5.5 vs. Claude Opus 4.8
- 29Claude Opus 5.5 vs. GPT-5.6 Luna
- 30Claude Sonnet 5.5 vs. DeepSeek-V4-Pro
- 31Claude Opus 5 vs. DeepSeek-V4-Pro
- 32Claude Opus 5.5 vs. Mistral Large 4
- 33Claude Opus 5.5 vs. GPT-5.6 Sol
- 34DeepSeek-V4-Pro vs. DeepSeek V4.1 Flash 1017
- 35DeepSeek-V4-Pro vs. DeepSeek-V4.1-Flash
- 36Claude Opus 5.5 vs. GPT-5.5
- 37Claude Opus 5.5 vs. DeepSeek-V4-Flash
- 38Claude Opus 5.5 vs. Grok 4.7
- 39Grok 4.7 vs. DeepSeek-V4-Pro
- 40Claude Opus 5.5 vs. Mistral Large 3
- 41Claude Opus 5.5 vs. GPT-6 Luna
- 42DeepSeek-V4-Pro vs. Kimi K3
- 43DeepSeek-V4-Pro vs. Qwen 3.8 Max 0902
- 44Claude Opus 5.5 vs. Claude Opus 4.5
- 45GPT-6.1 Sol vs. DeepSeek-V4-Pro
- 46Claude Haiku 5.5 vs. DeepSeek-V4-Pro
- 47GPT-5.6 Sol vs. DeepSeek-V4-Pro
- 48DeepSeek-V4-Pro vs. GLM-5.3
- 49Claude Opus 5.5 vs. Claude Fable 5
- 50DeepSeek-V4-Pro vs. Mistral Large 4
- 51Claude Opus 5.5 vs. GPT-6 Sol
- 52DeepSeek-V4-Pro vs. Qwen 3.8 27B
- 53Claude Opus 5.5 vs. Gemini 3.6 Flash
- 54GPT-6 Sol vs. DeepSeek-V4-Pro
- 55Claude Opus 5.5 vs. Mistral Medium 3.5
- 56Claude Opus 5.5 vs. Muse Wonder Full
- 57Claude Opus 5.5 vs. Claude Haiku 4.5
- 58DeepSeek-V4-Pro vs. GLM-5.3-Flash
- 59Claude Opus 5.5 vs. Gemini 3.5 Flash
- 60Claude Opus 5.5 vs. GPT-6.1 Terra
- 61Claude Opus 5.5 vs. GPT-5.4
- 62Claude Opus 5.5 vs. GLM-5.1
- 63Gemini 3.7 Flash vs. DeepSeek-V4-Pro
- 64DeepSeek-V4-Pro vs. MiMo-V2.5-Pro
- 65DeepSeek-V4-Pro vs. MiMo-V2.5
- 66Claude Opus 4.5 vs. DeepSeek-V4-Pro
- 67Gemini 4 Argon vs. DeepSeek-V4-Pro
- 68DeepSeek-V4-Pro vs. Kimi K3.1 Pro
- 69Muse Wonder Full vs. DeepSeek-V4-Pro