Claude 3.5 Haiku vs Mistral Small 3.1 24B Base
Claude 3.5 Haiku and Mistral Small 3.1 24B Base are closely matched at 5.3 and 0.4 on the LLM Stats Score. Mistral Small 3.1 24B Base is 10.7x cheaper per token.
Anthropic · Mistral AI · Updated for 2026
Which is better?
Claude 3.5 Haiku and Mistral Small 3.1 24B Base are closely matched on the overall LLM Stats Score at 5.3 and 0.4.
In the 2 individual benchmarks reported for both models, Claude 3.5 Haiku wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Small 3.1 24B Base is roughly 10.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude 3.5 Haiku also accepts a larger context window (200,000 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 3.5 Haiku
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 200,000 token context window
Choose Mistral Small 3.1 24B Base
- cost matters — it's about 10.7x cheaper per token
- you want the most recent training data — it shipped Mar 2025
- 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
9 reported for Claude 3.5 Haiku · 5 for Mistral Small 3.1 24B Base
Claude 3.5 Haiku outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Mistral Small 3.1 24B Base is better at 0 benchmarks.
Claude 3.5 Haiku significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude 3.5 Haiku ($0.80/1M tokens) is 8.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).
For output processing, Claude 3.5 Haiku ($4.00/1M tokens) is 13.3x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).
In conclusion, Claude 3.5 Haiku is more expensive than Mistral Small 3.1 24B Base.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Claude 3.5 Haiku accepts 200,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Claude 3.5 Haiku can generate longer responses up to 200,000 tokens, while Mistral Small 3.1 24B Base is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Mistral Small 3.1 24B Base supports multimodal inputs, whereas Claude 3.5 Haiku does not.
Mistral Small 3.1 24B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude 3.5 Haiku
Mistral Small 3.1 24B Base
License
Usage and distribution terms
Claude 3.5 Haiku is licensed under a proprietary license, while Mistral Small 3.1 24B Base 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 3.5 Haiku was released on 2024-10-22, while Mistral Small 3.1 24B Base was released on 2025-03-17.
Mistral Small 3.1 24B Base is 5 months newer than Claude 3.5 Haiku.
Oct 22, 2024
1.9 years ago
Mar 17, 2025
1.5 years ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Claude 3.5 Haiku is available from Bedrock, Google, Anthropic. Mistral Small 3.1 24B Base is available from Mistral AI.
Claude 3.5 Haiku
Mistral Small 3.1 24B Base
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude 3.5 Haiku and Mistral Small 3.1 24B Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude 3.5 Haiku vs Mistral Small 3.1 24B Base.