The AI arena is free today

Open Superagent

Claude Haiku 5.5 vs DeepSeek VL2 Tiny

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to -4.7.

Anthropic · DeepSeek · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to -4.7, ranking #19 overall.

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

Choose Claude Haiku 5.5

  • overall performance matters — it scores 50.0 and ranks #19 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose DeepSeek VL2 Tiny

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

At a glance

The differences that matter most.

Claude Haiku 5.5
Anthropic
DeepSeek VL2 Tiny
DeepSeek
Core performance indexes
LLM Stats Score
50.0
#19
-4.7
#367
Reasoning
47.2
#27
-12.7
#378
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Claude Haiku 5.5
DeepSeek VL2 Tiny
Vision
30.4#33
-5.2#211
Multimodal
31.4#27
-3.1#173
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

36 reported for Claude Haiku 5.5 · 14 for DeepSeek VL2 Tiny

No common benchmarks found

Claude Haiku 5.5 and DeepSeek VL2 Tinydon'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 Haiku 5.5 specifies input context (1,000,000 tokens). Only Claude Haiku 5.5 specifies output context (128,000 tokens).

Anthropic
Claude Haiku 5.5
Input1,000,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek VL2 Tiny
Input- tokens
Output- tokens
Sat Oct 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Haiku 5.5 and DeepSeek VL2 Tiny support multimodal inputs.

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

Claude Haiku 5.5

Text
Images
Audio
Video

DeepSeek VL2 Tiny

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 is licensed under a proprietary license, while DeepSeek VL2 Tiny uses deepseek.

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

Claude Haiku 5.5

Proprietary

Closed source

DeepSeek VL2 Tiny

deepseek

Open weights

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while DeepSeek VL2 Tiny was released on 2024-12-13.

Claude Haiku 5.5 is 22 months newer than DeepSeek VL2 Tiny.

Claude Haiku 5.5

Oct 7, 2026

3 days ago

1.8yr newer
DeepSeek VL2 Tiny

Dec 13, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while DeepSeek VL2 Tiny's cutoff date is not specified.

We can confirm Claude Haiku 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without DeepSeek VL2 Tiny's cutoff date.

Claude Haiku 5.5

Jun 2026

DeepSeek VL2 Tiny

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and DeepSeek VL2 Tiny side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
DeepSeek VL2 Tiny
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs DeepSeek VL2 Tiny.

Which is better, Claude Haiku 5.5 or DeepSeek VL2 Tiny?

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to -4.7. Claude Haiku 5.5 is made by Anthropic and DeepSeek VL2 Tiny 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 Haiku 5.5 compare to DeepSeek VL2 Tiny in benchmarks?

Claude Haiku 5.5 scores Global-MMLU: 87.8%, MILU: 87.6%, BenchCAD (with Python tool): 87.0%, Chartography: 86.2%, SWE-bench Multilingual: 83.7%. DeepSeek VL2 Tiny scores DocVQA: 88.9%, ChartQA: 81.0%, OCRBench: 80.9%, TextVQA: 80.7%, AI2D: 71.6%.

What are the context window sizes for Claude Haiku 5.5 and DeepSeek VL2 Tiny?

Claude Haiku 5.5 supports 1.0M tokens and DeepSeek VL2 Tiny 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 Haiku 5.5 and DeepSeek VL2 Tiny?

Key differences include LLM Stats Score (50.0 vs -4.7), licensing (Proprietary vs deepseek). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 5.5 and DeepSeek VL2 Tiny?

Claude Haiku 5.5 is developed by Anthropic and DeepSeek VL2 Tiny is developed by DeepSeek.

Related comparisons