Claude Haiku 4.5 vs Mistral Small 4
Claude Haiku 4.5 leads the LLM Stats Score 25.7 to 19.0. Mistral Small 4 is 7.6x cheaper per token.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude Haiku 4.5 leads the overall LLM Stats Score 25.7 to 19.0, ranking #163 overall.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Mistral Small 4 is roughly 7.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Small 4 also accepts a larger context window (256,000 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 4.5
- overall performance matters — it scores 25.7 and ranks #163 on LLM Stats
Choose Mistral Small 4
- cost matters — it's about 7.6x cheaper per token
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Mar 2026
- 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
12 reported for Claude Haiku 4.5 · 9 for Mistral Small 4
Claude Haiku 4.5 outperforms in 1 benchmarks (GPQA), while Mistral Small 4 is better at 1 benchmark (AIME 2025).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 6.7x more expensive than Mistral Small 4 ($0.15/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 8.3x more expensive than Mistral Small 4 ($0.60/1M tokens).
In conclusion, Claude Haiku 4.5 is more expensive than Mistral Small 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Mistral Small 4 accepts 256,000 input tokens compared to Claude Haiku 4.5's 200,000 tokens. Mistral Small 4 can generate longer responses up to 256,000 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Haiku 4.5 and Mistral Small 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 4.5
Mistral Small 4
License
Usage and distribution terms
Claude Haiku 4.5 is licensed under a proprietary license, while Mistral Small 4 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Claude Haiku 4.5 was released on 2025-10-15, while Mistral Small 4 was released on 2026-03-16.
Mistral Small 4 is 5 months newer than Claude Haiku 4.5.
Oct 15, 2025
11 months ago
Mar 16, 2026
6 months ago
5mo newerKnowledge Cutoff
When training data ends
Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while Mistral Small 4's cutoff date is not specified.
We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without Mistral Small 4's cutoff date.
Feb 2025
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Provider Availability
Claude Haiku 4.5 is available from Anthropic, DeepInfra, Vertex AI. Mistral Small 4 is available from Mistral AI.
Claude Haiku 4.5
Mistral Small 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 4.5 and Mistral Small 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 4.5 vs Mistral Small 4.