Grok 4.7 vs Mistral Large 4
Grok 4.7 and Mistral Large 4 are closely matched at 47.8 and 46.2 on the LLM Stats Score. Mistral Large 4 is 2.9x cheaper per token.
xAI · Mistral AI · Updated for 2026
Which is better?
Grok 4.7 and Mistral Large 4 are closely matched on the overall LLM Stats Score at 47.8 and 46.2.
In the 4 individual benchmarks reported for both models, Grok 4.7 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 4 is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 4 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 Grok 4.7
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
Choose Mistral Large 4
- cost matters — it's about 2.9x 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
At a glance
The differences that matter most.
Individual benchmarks
23 reported for Grok 4.7 · 18 for Mistral Large 4
Grok 4.7 outperforms in 3 benchmarks (DeepSWE 1.1, Harvey's Legal Agent Benchmark, Terminal-Bench 4.0), while Mistral Large 4 is better at 1 benchmark (CyberGym).
Grok 4.7 shows notably better performance in the majority of benchmarks.
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 2.9x more expensive than Mistral Large 4 ($0.68/1M tokens).
For output processing, Grok 4.7 ($6.00/1M tokens) is 2.9x more expensive than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Grok 4.7 is more expensive than Mistral Large 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Mistral Large 4 accepts 1,000,000 input tokens compared to Grok 4.7's 500,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Grok 4.7 and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok 4.7
Mistral Large 4
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Grok 4.7 was released on 2026-09-21, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 1 month newer than Grok 4.7.
Sep 21, 2026
2 weeks ago
Oct 6, 2026
1 days ago
2w newerKnowledge Cutoff
When training data ends
Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Mistral Large 4's cutoff date is not specified.
We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without Mistral Large 4's cutoff date.
Jun 2026
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Provider Availability
Grok 4.7 is available from xAI. Mistral Large 4 is available from Mistral AI.
Grok 4.7
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.7 and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.7 vs Mistral Large 4.