Grok-4.1 Thinking vs Mistral Large 4
Mistral Large 4 leads the LLM Stats Score 46.2 to 16.0. Mistral Large 4 is 5.8x cheaper per token.
xAI · Mistral AI · Updated for 2026
Which is better?
Mistral Large 4 leads the overall LLM Stats Score 46.2 to 16.0, ranking #34 overall.
In the 1 individual benchmarks reported for both models, Mistral Large 4 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 4 is roughly 5.8x 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-4.1 Thinking
- you want predictable pricing at $3.00/M input and $15.00/M output
Choose Mistral Large 4
- overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 5.8x 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
11 reported for Grok-4.1 Thinking · 18 for Mistral Large 4
Grok-4.1 Thinking outperforms in 0 benchmarks, while Mistral Large 4 is better at 1 benchmark (CyBench).
Mistral Large 4 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-4.1 Thinking ($3.00/1M tokens) is 4.4x more expensive than Mistral Large 4 ($0.68/1M tokens).
For output processing, Grok-4.1 Thinking ($15.00/1M tokens) is 7.2x more expensive than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Grok-4.1 Thinking 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-4.1 Thinking's 256,000 tokens. Only Grok-4.1 Thinking specifies output context (8,000 tokens).
Input capabilities
Documented input modalities across available providers
Both Grok-4.1 Thinking and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-4.1 Thinking
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-4.1 Thinking was released on 2025-11-17, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 11 months newer than Grok-4.1 Thinking.
Nov 17, 2025
10 months ago
Oct 6, 2026
6 days ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Grok-4.1 Thinking is available from xAI. Mistral Large 4 is available from Mistral AI.
Grok-4.1 Thinking
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-4.1 Thinking and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-4.1 Thinking vs Mistral Large 4.