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Codestral-22B vs Grok-1.5

Codestral-22B and Grok-1.5 are closely matched at 0.2 and -2.4 on the LLM Stats Score.

Mistral AI · xAI · Updated for 2026

Which is better?

Codestral-22B and Grok-1.5 are closely matched on the overall LLM Stats Score at 0.2 and -2.4.

In the 1 individual benchmarks reported for both models, Codestral-22B wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose Codestral-22B

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped May 2024
  • you need open weights you can self-host or fine-tune

Choose Grok-1.5

  • you are already invested in the xAI ecosystem

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
Grok-1.5
xAI
Core performance indexes
LLM Stats Score
0.2
#309
-2.4
#323
Reasoning
0.1
#303
-1.9
#314
Coding
2.5
#213
-0.8
#232
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

7 reported for Codestral-22B · 9 for Grok-1.5

1 shared

Codestral-22B outperforms in 1 benchmarks (HumanEval), while Grok-1.5 is better at 0 benchmarks.

Codestral-22B significantly outperforms across most benchmarks.

Tue Sep 01 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

License

Usage and distribution terms

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

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Grok-1.5 was released on 2024-03-28.

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

Codestral-22B

May 29, 2024

2.3 years ago

2mo newer
Grok-1.5

Mar 28, 2024

2.4 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-1.5 side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Codestral-22B and Grok-1.5 are closely matched on the LLM Stats Score at 0.2 and -2.4. Codestral-22B is made by Mistral AI and Grok-1.5 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-1.5 in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%.

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

Key differences include LLM Stats Score (0.2 vs -2.4), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Grok-1.5?

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

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