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Claude Fable 5.2 vs DeepSeek VL2 Small

Claude Fable 5.2 leads the LLM Stats Score 61.3 to 0.6.

Anthropic · DeepSeek · Updated for 2026

Which is better?

Claude Fable 5.2 leads the overall LLM Stats Score 61.3 to 0.6, ranking #1 overall.

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

Choose Claude Fable 5.2

  • overall performance matters — it scores 61.3 and ranks #1 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.

Claude Fable 5.2
Anthropic
DeepSeek VL2 Small
DeepSeek
Core performance indexes
LLM Stats Score
61.3
#1
0.6
#365
Reasoning
60.3
#1
-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 Fable 5.2
DeepSeek VL2 Small
Vision
48.1#1
0.1#212
Multimodal
44.5#1
2.6#170
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

29 reported for Claude Fable 5.2 · 14 for DeepSeek VL2 Small

No common benchmarks found

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

Anthropic
Claude Fable 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 Fable 5.2 and DeepSeek VL2 Small support multimodal inputs.

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

Claude Fable 5.2

Text
Images
Audio
Video

DeepSeek VL2 Small

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Fable 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 Fable 5.2

Proprietary

Closed source

DeepSeek VL2 Small

deepseek

Open weights

Release Timeline

When each model was launched

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

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

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

Claude Fable 5.2

Jun 2026

DeepSeek VL2 Small

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Claude Fable 5.2
✓ Preferred
DeepSeek VL2 Small
Open in Playground

FAQ

Common questions about Claude Fable 5.2 vs DeepSeek VL2 Small.

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

Claude Fable 5.2 leads the LLM Stats Score 61.3 to 0.6. Claude Fable 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 Fable 5.2 compare to DeepSeek VL2 Small in benchmarks?

Claude Fable 5.2 scores SWE-bench Multilingual: 96.6%, Global-MMLU: 96.0%, MILU: 94.1%, SWE-Bench Pro: 93.0%, Chartography: 91.6%. 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 Fable 5.2 and DeepSeek VL2 Small?

Claude Fable 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 Fable 5.2 and DeepSeek VL2 Small?

Key differences include LLM Stats Score (61.3 vs 0.6), licensing (Proprietary vs deepseek). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Fable 5.2 and DeepSeek VL2 Small?

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

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