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Claude Mythos 5.2 vs DeepSeek VL2 Small

Claude Mythos 5.2 leads the LLM Stats Score 59.6 to 0.6.

Anthropic · DeepSeek · Updated for 2026

Which is better?

Claude Mythos 5.2 leads the overall LLM Stats Score 59.6 to 0.6, ranking #2 overall.

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

Choose Claude Mythos 5.2

  • overall performance matters — it scores 59.6 and ranks #2 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

Choose DeepSeek VL2 Small

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
59.6
#2
0.6
#365
53.3
#8
-4.5
#383
Cost, coverage & limits
Benchmark wins
—
—
Input price
$8.00 / M
— / M
Output price
$40.00 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Claude Mythos 5.2
DeepSeek VL2 Small
31.5#33
0.1#212
31.7#29
2.6#170
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Claude Mythos 5.2 · 14 for DeepSeek VL2 Small

No common benchmarks found

Claude Mythos 5.2 and DeepSeek VL2 Smalldon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Claude Mythos 5.2 specifies input context (1,000,000 tokens). Only Claude Mythos 5.2 specifies output context (128,000 tokens).

Anthropic
Claude Mythos 5.2
Input1,000,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek VL2 Small
Input- tokens
Output- tokens
Wed Nov 11 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Mythos 5.2 and DeepSeek VL2 Small support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude Mythos 5.2

Text
Images
Audio
Video

DeepSeek VL2 Small

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Mythos 5.2 is licensed under a proprietary license, while DeepSeek VL2 Small uses deepseek.

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

Claude Mythos 5.2

Proprietary

Closed source

DeepSeek VL2 Small

deepseek

Open weights

Release Timeline

When each model was launched

Claude Mythos 5.2 was released on 2026-11-09, while DeepSeek VL2 Small was released on 2024-12-13.

Claude Mythos 5.2 is 23 months newer than DeepSeek VL2 Small.

Claude Mythos 5.2

Nov 9, 2026

1 days ago

1.9yr newer
DeepSeek VL2 Small

Dec 13, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Claude Mythos 5.2 has a documented knowledge cutoff of 2026-06-01, while DeepSeek VL2 Small's cutoff date is not specified.

We can confirm Claude Mythos 5.2's training data extends to 2026-06-01, but cannot make a direct comparison without DeepSeek VL2 Small's cutoff date.

Claude Mythos 5.2

Jun 2026

DeepSeek VL2 Small

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Mythos 5.2 and DeepSeek VL2 Small side-by-side, then vote on the output you prefer.

Claude Mythos 5.2
✓ Preferred
DeepSeek VL2 Small
Open in Playground

FAQ

Common questions about Claude Mythos 5.2 vs DeepSeek VL2 Small.

Which is better, Claude Mythos 5.2 or DeepSeek VL2 Small?

Claude Mythos 5.2 leads the LLM Stats Score 59.6 to 0.6. Claude Mythos 5.2 is made by Anthropic and DeepSeek VL2 Small 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 Mythos 5.2 compare to DeepSeek VL2 Small in benchmarks?

Claude Mythos 5.2 scores De novo protein binder design: 85.1%, Biomedical image analysis: 80.7%, Protocols Troubleshooting: 77.1%, Terminal-Bench-Science 0.1: 75.3%, Terminal-Bench 4.0: 70.5%. DeepSeek VL2 Small scores DocVQA: 92.3%, ChartQA: 84.5%, OCRBench: 83.4%, TextVQA: 83.4%, MMBench: 80.3%.

What are the context window sizes for Claude Mythos 5.2 and DeepSeek VL2 Small?

Claude Mythos 5.2 supports 1.0M tokens and DeepSeek VL2 Small supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Mythos 5.2 and DeepSeek VL2 Small?

Key differences include LLM Stats Score (59.6 vs 0.6), licensing (Proprietary vs deepseek). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Mythos 5.2 and DeepSeek VL2 Small?

Claude Mythos 5.2 is developed by Anthropic and DeepSeek VL2 Small is developed by DeepSeek.