Claude Haiku 5.5 vs Pixtral Large
Claude Haiku 5.5 leads the LLM Stats Score 50.3 to 11.8. Claude Haiku 5.5 is 15.0x cheaper per token.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude Haiku 5.5 leads the overall LLM Stats Score 50.3 to 11.8, ranking #18 overall.
On price, Claude Haiku 5.5 is roughly 15.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 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 Haiku 5.5
- overall performance matters — it scores 50.3 and ranks #18 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 15.0x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose Pixtral Large
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
36 reported for Claude Haiku 5.5 · 7 for Pixtral Large
Claude Haiku 5.5 and Pixtral Largedon'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
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 20.0x cheaper than Pixtral Large ($2.00/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 12.0x cheaper than Pixtral Large ($6.00/1M tokens).
In conclusion, Pixtral Large is more expensive than Claude Haiku 5.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude Haiku 5.5 accepts 1,000,000 input tokens compared to Pixtral Large's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Haiku 5.5 and Pixtral Large support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 5.5
Pixtral Large
License
Usage and distribution terms
Claude Haiku 5.5 is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
Claude Haiku 5.5 was released on 2026-10-07, while Pixtral Large was released on 2024-11-18.
Claude Haiku 5.5 is 23 months newer than Pixtral Large.
Oct 7, 2026
0 days ago
1.9yr newerNov 18, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while Pixtral Large'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 Pixtral Large's cutoff date.
Jun 2026
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Provider Availability
Claude Haiku 5.5 is available from Anthropic. Pixtral Large is available from Mistral AI.
Claude Haiku 5.5
Pixtral Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs Pixtral Large.