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Codestral-22B vs Gemini 1.0 Pro

Codestral-22B and Gemini 1.0 Pro are closely matched at 0.1 and -5.3 on the LLM Stats Score.

Mistral AI · Google · Updated for 2026

Which is better?

Codestral-22B and Gemini 1.0 Pro are closely matched on the overall LLM Stats Score at 0.1 and -5.3.

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

Choose Codestral-22B

  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped May 2024
  • you need open weights you can self-host or fine-tune

Choose Gemini 1.0 Pro

  • you want predictable pricing at $0.50/M input and $1.50/M output

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
Gemini 1.0 Pro
Google
Core performance indexes
LLM Stats Score
0.1
#314
-5.3
#345
Reasoning
-0.0
#307
-7.9
#343
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.50 / M
Output price
— / M
$1.50 / M
Context window
—
32,760

Individual benchmarks

7 reported for Codestral-22B · 9 for Gemini 1.0 Pro

No common benchmarks found

Codestral-22B and Gemini 1.0 Prodon'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

Context Window

Maximum input and output token capacity

Only Gemini 1.0 Pro specifies input context (32,760 tokens). Only Gemini 1.0 Pro specifies output context (8,192 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Google
Gemini 1.0 Pro
Input32,760 tokens
Output8,192 tokens
Sat Sep 05 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Gemini 1.0 Pro 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

Gemini 1.0 Pro

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Gemini 1.0 Pro was released on 2024-02-15.

Codestral-22B is 3 months newer than Gemini 1.0 Pro.

Codestral-22B

May 29, 2024

2.3 years ago

3mo newer
Gemini 1.0 Pro

Feb 15, 2024

2.6 years ago

Knowledge Cutoff

When training data ends

Gemini 1.0 Pro has a documented knowledge cutoff of 2024-02-01, while Codestral-22B's cutoff date is not specified.

We can confirm Gemini 1.0 Pro's training data extends to 2024-02-01, but cannot make a direct comparison without Codestral-22B's cutoff date.

Codestral-22B

—

Gemini 1.0 Pro

Feb 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Codestral-22B and Gemini 1.0 Pro side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Gemini 1.0 Pro
Open in Playground

FAQ

Common questions about Codestral-22B vs Gemini 1.0 Pro.

Which is better, Codestral-22B or Gemini 1.0 Pro?

Codestral-22B and Gemini 1.0 Pro are closely matched on the LLM Stats Score at 0.1 and -5.3. Codestral-22B is made by Mistral AI and Gemini 1.0 Pro is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to Gemini 1.0 Pro in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Gemini 1.0 Pro scores FLEURS: 93.6%, BIG-Bench: 75.0%, MMLU: 71.8%, WMT23: 71.7%, EgoSchema: 55.7%.

What are the context window sizes for Codestral-22B and Gemini 1.0 Pro?

Codestral-22B supports an unknown number of tokens and Gemini 1.0 Pro supports 33K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Codestral-22B and Gemini 1.0 Pro?

Key differences include LLM Stats Score (0.1 vs -5.3), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Gemini 1.0 Pro?

Codestral-22B is developed by Mistral AI and Gemini 1.0 Pro is developed by Google.

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