Grok-2 vs Mistral Small 3.2 24B Instruct
Grok-2 and Mistral Small 3.2 24B Instruct are closely matched at 11.5 and 8.5 on the LLM Stats Score. Mistral Small 3.2 24B Instruct is 37.6x cheaper per token.
xAI · Mistral AI · Updated for 2026
Which is better?
Grok-2 and Mistral Small 3.2 24B Instruct are closely matched on the overall LLM Stats Score at 11.5 and 8.5.
In the 7 individual benchmarks reported for both models, Grok-2 wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Small 3.2 24B Instruct is roughly 37.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Grok-2
- you value its reported benchmark strengths — it wins 6 of 7 exact shared results
Choose Mistral Small 3.2 24B Instruct
- cost matters — it's about 37.6x cheaper per token
- you want the most recent training data — it shipped Jun 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
8 reported for Grok-2 · 15 for Mistral Small 3.2 24B Instruct
Grok-2 outperforms in 6 benchmarks (GPQA, MATH, MathVista, MMLU, MMLU-Pro, MMMU), while Mistral Small 3.2 24B Instruct is better at 1 benchmark (DocVQA).
Grok-2 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, Grok-2 ($2.00/1M tokens) is 26.7x more expensive than Mistral Small 3.2 24B Instruct ($0.07/1M tokens).
For output processing, Grok-2 ($10.00/1M tokens) is 50.0x more expensive than Mistral Small 3.2 24B Instruct ($0.20/1M tokens).
In conclusion, Grok-2 is more expensive than Mistral Small 3.2 24B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Mistral Small 3.2 24B Instruct can generate longer responses up to 128,000 tokens, while Grok-2 is limited to 8,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Grok-2 and Mistral Small 3.2 24B Instruct support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-2
Mistral Small 3.2 24B Instruct
License
Usage and distribution terms
Grok-2 is licensed under a proprietary license, while Mistral Small 3.2 24B Instruct 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
Grok-2 was released on 2024-08-13, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.
Mistral Small 3.2 24B Instruct is 10 months newer than Grok-2.
Aug 13, 2024
2.1 years ago
Jun 20, 2025
1.2 years ago
10mo newerKnowledge Cutoff
When training data ends
Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Grok-2's cutoff date is not specified.
We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Grok-2's cutoff date.
—
Oct 2023
Provider Availability
Grok-2 is available from xAI. Mistral Small 3.2 24B Instruct is available from DeepInfra.
Grok-2
Mistral Small 3.2 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-2 and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-2 vs Mistral Small 3.2 24B Instruct.
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