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Codestral-22B vs Grok-1.5V

Codestral-22B and Grok-1.5V are closely matched at 0.0 and -0.8 on the LLM Stats Score.

Mistral AI · xAI · Updated for 2026

Which is better?

Codestral-22B and Grok-1.5V are closely matched on the overall LLM Stats Score at 0.0 and -0.8.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Codestral-22B

  • you want the most recent training data — it shipped May 2024
  • you need open weights you can self-host or fine-tune

Choose Grok-1.5V

  • you are already invested in the xAI ecosystem

At a glance

The differences that matter most.

Core performance indexes
0.0
#332
-0.8
#338
-0.1
#324
-0.1
#325
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

7 reported for Codestral-22B · 7 for Grok-1.5V

No common benchmarks found

Codestral-22B and Grok-1.5Vdon'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

Input capabilities

Documented input modalities across available providers

Grok-1.5V supports multimodal inputs, whereas Codestral-22B does not.

Grok-1.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Grok-1.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Grok-1.5V 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-1.5V

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Grok-1.5V was released on 2024-04-12.

Codestral-22B is 2 months newer than Grok-1.5V.

Codestral-22B

May 29, 2024

2.3 years ago

1mo newer
Grok-1.5V

Apr 12, 2024

2.5 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Codestral-22B and Grok-1.5V side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Grok-1.5V
Open in Playground

FAQ

Common questions about Codestral-22B vs Grok-1.5V.

Which is better, Codestral-22B or Grok-1.5V?

Codestral-22B and Grok-1.5V are closely matched on the LLM Stats Score at 0.0 and -0.8. Codestral-22B is made by Mistral AI and Grok-1.5V is made by xAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to Grok-1.5V in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Grok-1.5V scores AI2D: 88.3%, DocVQA: 85.6%, TextVQA: 78.1%, ChartQA: 76.1%, RealWorldQA: 68.7%.

What are the main differences between Codestral-22B and Grok-1.5V?

Key differences include LLM Stats Score (0.0 vs -0.8), multimodal support (no vs yes), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Grok-1.5V?

Codestral-22B is developed by Mistral AI and Grok-1.5V is developed by xAI.