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Claude Haiku 5.5 vs Codestral-22B

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 0.0.

Anthropic · Mistral AI · Updated for 2026

Which is better?

Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 0.0, 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 and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Codestral-22B

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

At a glance

The differences that matter most.

Claude Haiku 5.5
Anthropic
Codestral-22B
Mistral AI
Core performance indexes
LLM Stats Score
50.0
#19
0.0
#342
Reasoning
47.2
#27
-0.1
#334
Coding
40.2
#13
2.4
#239
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
— / M
Output price
$0.50 / M
— / M
Context window
1,000,000
—

Individual benchmarks

36 reported for Claude Haiku 5.5 · 7 for Codestral-22B

No common benchmarks found

Claude Haiku 5.5 and Codestral-22Bdon'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
Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Haiku 5.5 supports multimodal inputs, whereas Codestral-22B does not.

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

Claude Haiku 5.5

Text
Images
Audio
Video

Codestral-22B

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Haiku 5.5 is licensed under a proprietary license, while Codestral-22B uses MNPL-0.1.

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

Claude Haiku 5.5

Proprietary

Closed source

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

Claude Haiku 5.5 was released on 2026-10-07, while Codestral-22B was released on 2024-05-29.

Claude Haiku 5.5 is 29 months newer than Codestral-22B.

Claude Haiku 5.5

Oct 7, 2026

1 days ago

2.4yr newer
Codestral-22B

May 29, 2024

2.4 years ago

Knowledge Cutoff

When training data ends

Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Codestral-22B'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 Codestral-22B's cutoff date.

Claude Haiku 5.5

Jun 2026

Codestral-22B

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Claude Haiku 5.5 and Codestral-22B side-by-side, then vote on the output you prefer.

Claude Haiku 5.5
✓ Preferred
Codestral-22B
Open in Playground

FAQ

Common questions about Claude Haiku 5.5 vs Codestral-22B.

Which is better, Claude Haiku 5.5 or Codestral-22B?

Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 0.0. Claude Haiku 5.5 is made by Anthropic and Codestral-22B is made by Mistral AI. 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 Codestral-22B 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%. Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%.

What are the context window sizes for Claude Haiku 5.5 and Codestral-22B?

Claude Haiku 5.5 supports 1.0M tokens and Codestral-22B 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 Codestral-22B?

Key differences include LLM Stats Score (50.0 vs 0.0), multimodal support (yes vs no), licensing (Proprietary vs MNPL-0.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Haiku 5.5 and Codestral-22B?

Claude Haiku 5.5 is developed by Anthropic and Codestral-22B is developed by Mistral AI.

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