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Claude Opus 5.5 vs DeepSeek-V3.1

Claude Opus 5.5 leads the LLM Stats Score 59.7 to 22.1. DeepSeek-V3.1 is 18.8x cheaper per token.

Anthropic · DeepSeek · Updated for 2026

Which is better?

Claude Opus 5.5 leads the overall LLM Stats Score 59.7 to 22.1, ranking #1 overall.

In the 1 individual benchmarks reported for both models, Claude Opus 5.5 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V3.1 is roughly 18.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Opus 5.5 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude Opus 5.5

  • overall performance matters — it scores 59.7 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose DeepSeek-V3.1

  • cost matters — it's about 18.8x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude Opus 5.5
Anthropic
DeepSeek-V3.1
DeepSeek
Core performance indexes
LLM Stats Score
59.7
#1
22.1
#184
Reasoning
57.8
#1
22.3
#177
Coding
51.7
#1
12.5
#150
Agents
44.5
#2
0.3
#178
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$4.00 / M
$0.25 / M
Output price
$20.00 / M
$0.95 / M
Context window
1,000,000
163,840

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Opus 5.5
DeepSeek-V3.1
Math
42.5#5
18.7#181
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

31 reported for Claude Opus 5.5 · 16 for DeepSeek-V3.1

1 shared

Claude Opus 5.5 outperforms in 1 benchmarks (SWE-bench Multilingual), while DeepSeek-V3.1 is better at 0 benchmarks.

Claude Opus 5.5 significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, Claude Opus 5.5 ($4.00/1M tokens) is 16.0x more expensive than DeepSeek-V3.1 ($0.25/1M tokens).

For output processing, Claude Opus 5.5 ($20.00/1M tokens) is 21.1x more expensive than DeepSeek-V3.1 ($0.95/1M tokens).

In conclusion, Claude Opus 5.5 is more expensive than DeepSeek-V3.1.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Anthropic
Claude Opus 5.5
Input tokens$4.00
Output tokens$20.00
Best providerAnthropic
DeepSeek
DeepSeek-V3.1
Input tokens$0.25
Output tokens$0.95
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude Opus 5.5 accepts 1,000,000 input tokens compared to DeepSeek-V3.1's 163,840 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while Claude Opus 5.5 is limited to 128,000 tokens.

Anthropic
Claude Opus 5.5
Input1,000,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Opus 5.5 supports multimodal inputs, whereas DeepSeek-V3.1 does not.

Claude Opus 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Opus 5.5

Text
Images
Audio
Video

DeepSeek-V3.1

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 5.5 is licensed under a proprietary license, while DeepSeek-V3.1 uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Claude Opus 5.5

Proprietary

Closed source

DeepSeek-V3.1

MIT

Open weights

Release Timeline

When each model was launched

Claude Opus 5.5 was released on 2026-09-22, while DeepSeek-V3.1 was released on 2025-01-10.

Claude Opus 5.5 is 21 months newer than DeepSeek-V3.1.

Claude Opus 5.5

Sep 22, 2026

0 days ago

1.7yr newer
DeepSeek-V3.1

Jan 10, 2025

1.7 years ago

Knowledge Cutoff

When training data ends

Claude Opus 5.5 has a documented knowledge cutoff of 2026-06-01, while DeepSeek-V3.1's cutoff date is not specified.

We can confirm Claude Opus 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without DeepSeek-V3.1's cutoff date.

Claude Opus 5.5

Jun 2026

DeepSeek-V3.1

—

Provider Availability

Claude Opus 5.5 is available from Anthropic. DeepSeek-V3.1 is available from DeepInfra, Novita.

Claude Opus 5.5

anthropic logo
Anthropic
Input Price:Input: $4.00/1MOutput Price:Output: $20.00/1M

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.25/1MOutput Price:Output: $0.95/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Claude Opus 5.5 and DeepSeek-V3.1 side-by-side, then vote on the output you prefer.

Claude Opus 5.5
✓ Preferred
DeepSeek-V3.1
Open in Playground

FAQ

Common questions about Claude Opus 5.5 vs DeepSeek-V3.1.

Which is better, Claude Opus 5.5 or DeepSeek-V3.1?

Claude Opus 5.5 leads the LLM Stats Score 59.7 to 22.1. Claude Opus 5.5 is made by Anthropic and DeepSeek-V3.1 is made by DeepSeek. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude Opus 5.5 compare to DeepSeek-V3.1 in benchmarks?

Claude Opus 5.5 scores BenchCAD (with Python tool): 96.2%, Global-MMLU: 94.3%, SWE-bench Multilingual: 93.9%, MILU: 93.1%, ArXivMath: 91.2%. DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%.

Is Claude Opus 5.5 cheaper than DeepSeek-V3.1?

DeepSeek-V3.1 is 16.0x cheaper for input tokens. Claude Opus 5.5 costs $4.00/M input and $20.00/M output via anthropic. DeepSeek-V3.1 costs $0.25/M input and $0.95/M output via deepinfra.

What are the context window sizes for Claude Opus 5.5 and DeepSeek-V3.1?

Claude Opus 5.5 supports 1.0M tokens and DeepSeek-V3.1 supports 164K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Opus 5.5 and DeepSeek-V3.1?

Key differences include LLM Stats Score (59.7 vs 22.1), context window (1.0M vs 164K), input pricing ($4.00 vs $0.25/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Opus 5.5 and DeepSeek-V3.1?

Claude Opus 5.5 is developed by Anthropic and DeepSeek-V3.1 is developed by DeepSeek.

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