Grok 4.7 vs Mistral Small 3.2 24B Instruct
Grok 4.7 leads the LLM Stats Score 48.5 to 8.4. Mistral Small 3.2 24B Instruct is 28.2x cheaper per token.
xAI · Mistral AI · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to 8.4, ranking #23 overall.
On price, Mistral Small 3.2 24B Instruct is roughly 28.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4.7 also accepts a larger context window (500,000 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 Grok 4.7
- overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you process long inputs — it offers a 500,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Mistral Small 3.2 24B Instruct
- cost matters — it's about 28.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
23 reported for Grok 4.7 · 15 for Mistral Small 3.2 24B Instruct
Grok 4.7 and Mistral Small 3.2 24B Instructdon'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, Grok 4.7 ($2.00/1M tokens) is 26.7x more expensive than Mistral Small 3.2 24B Instruct ($0.07/1M tokens).
For output processing, Grok 4.7 ($6.00/1M tokens) is 30.0x more expensive than Mistral Small 3.2 24B Instruct ($0.20/1M tokens).
In conclusion, Grok 4.7 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
Grok 4.7 accepts 500,000 input tokens compared to Mistral Small 3.2 24B Instruct's 128,000 tokens. Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Grok 4.7 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 4.7
Mistral Small 3.2 24B Instruct
License
Usage and distribution terms
Grok 4.7 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 4.7 was released on 2026-09-21, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.
Grok 4.7 is 15 months newer than Mistral Small 3.2 24B Instruct.
Sep 21, 2026
0 days ago
1.3yr newerJun 20, 2025
1.3 years ago
Knowledge Cutoff
When training data ends
Grok 4.7 has a knowledge cutoff of 2026-06-01, while Mistral Small 3.2 24B Instruct has a cutoff of 2023-10-01.
Grok 4.7 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to Mistral Small 3.2 24B Instruct (2023-10-01).
Jun 2026
2.7 yr newerOct 2023
Provider Availability
Grok 4.7 is available from xAI. Mistral Small 3.2 24B Instruct is available from DeepInfra.
Grok 4.7
Mistral Small 3.2 24B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.7 and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.7 vs Mistral Small 3.2 24B Instruct.