Model Comparison

Codestral-22B vs Grok-3

Comparing Codestral-22B and Grok-3 across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Codestral-22B and Grok-3 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 04 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
xAI
Grok-3
Input tokens$3.00
Output tokens$15.00
Best providerxAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Grok-3 specifies input context (128,000 tokens). Only Grok-3 specifies output context (8,000 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
xAI
Grok-3
Input128,000 tokens
Output8,000 tokens
Sat Apr 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-3 supports multimodal inputs, whereas Codestral-22B does not.

Grok-3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Grok-3

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Grok-3 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Codestral-22B

MNPL-0.1

Open weights

Grok-3

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Grok-3 was released on 2025-02-17.

Grok-3 is 9 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

1.8 years ago

Grok-3

Feb 17, 2025

1.1 years ago

8mo newer

Knowledge Cutoff

When training data ends

Grok-3 has a documented knowledge cutoff of 2024-11-17, while Codestral-22B's cutoff date is not specified.

We can confirm Grok-3's training data extends to 2024-11-17, but cannot make a direct comparison without Codestral-22B's cutoff date.

Codestral-22B

—

Grok-3

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Has open weights
xAI
Larger context window (128,000 tokens)
Supports multimodal inputs
Mistral AICodestral-22B
xAIGrok-3
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
xAI
Grok-3

FAQ

Common questions about Codestral-22B vs Grok-3

Codestral-22B (Mistral AI) and Grok-3 (xAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Grok-3 scores AIME 2024: 93.3%, AIME 2025: 93.3%, GPQA: 84.6%, LiveCodeBench: 79.4%, MMMU: 78.0%.
Codestral-22B supports an unknown number of tokens and Grok-3 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Codestral-22B is developed by Mistral AI and Grok-3 is developed by xAI.