Grok-2 vs Pixtral Large
Grok-2 and Pixtral Large are closely matched at 11.4 and 11.8 on the LLM Stats Score. Pixtral Large is 1.3x cheaper per token.
xAI · Mistral AI · Updated for 2026
Which is better?
Grok-2 and Pixtral Large are closely matched on the overall LLM Stats Score at 11.4 and 11.8.
In the 3 individual benchmarks reported for both models, Grok-2 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Pixtral Large is roughly 1.3x 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 2 of 3 exact shared results
Choose Pixtral Large
- cost matters — it's about 1.3x cheaper per token
- you want the most recent training data — it shipped Nov 2024
- 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 · 7 for Pixtral Large
Grok-2 outperforms in 2 benchmarks (DocVQA, MMMU), while Pixtral Large is better at 1 benchmark (MathVista).
Grok-2 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-2 ($2.00/1M tokens) costs the same as Pixtral Large ($2.00/1M tokens).
For output processing, Grok-2 ($10.00/1M tokens) is 1.7x more expensive than Pixtral Large ($6.00/1M tokens).
In conclusion, Grok-2 is more expensive than Pixtral Large.*
* 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. Pixtral Large 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 Pixtral Large support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Grok-2
Pixtral Large
License
Usage and distribution terms
Grok-2 is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Open weights
Release Timeline
When each model was launched
Grok-2 was released on 2024-08-13, while Pixtral Large was released on 2024-11-18.
Pixtral Large is 3 months newer than Grok-2.
Aug 13, 2024
2.2 years ago
Nov 18, 2024
1.9 years ago
3mo 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-2 is available from xAI. Pixtral Large is available from Mistral AI.
Grok-2
Pixtral Large
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-2 and Pixtral Large side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-2 vs Pixtral Large.