Model Comparison

Codestral-22B vs Gemini 1.5 Flash 8B

Comparing Codestral-22B and Gemini 1.5 Flash 8B 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 Gemini 1.5 Flash 8B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

14.2B diff

Codestral-22B has 14.2B more parameters than Gemini 1.5 Flash 8B, making it 177.5% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Google
Gemini 1.5 Flash 8B
8.0Bparameters
22.2B
Codestral-22B
8.0B
Gemini 1.5 Flash 8B

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash 8B specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash 8B specifies output context (8,192 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
Fri May 08 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Flash 8B supports multimodal inputs, whereas Codestral-22B does not.

Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Codestral-22B

Text
Images
Audio
Video

Gemini 1.5 Flash 8B

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Gemini 1.5 Flash 8B 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 1.5 Flash 8B

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Gemini 1.5 Flash 8B was released on 2024-03-15.

Codestral-22B is 3 months newer than Gemini 1.5 Flash 8B.

Codestral-22B

May 29, 2024

1.9 years ago

2mo newer
Gemini 1.5 Flash 8B

Mar 15, 2024

2.1 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash 8B has a documented knowledge cutoff of 2024-10-01, while Codestral-22B's cutoff date is not specified.

We can confirm Gemini 1.5 Flash 8B's training data extends to 2024-10-01, but cannot make a direct comparison without Codestral-22B's cutoff date.

Codestral-22B

—

Gemini 1.5 Flash 8B

Oct 2024

Outputs Comparison

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Key Takeaways

Mistral AI
Has open weights
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Mistral AICodestral-22B
GoogleGemini 1.5 Flash 8B
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
Google
Gemini 1.5 Flash 8B

FAQ

Common questions about Codestral-22B vs Gemini 1.5 Flash 8B.

Which is better, Codestral-22B or Gemini 1.5 Flash 8B?

Codestral-22B (Mistral AI) and Gemini 1.5 Flash 8B (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Codestral-22B compare to Gemini 1.5 Flash 8B in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%.

What are the context window sizes for Codestral-22B and Gemini 1.5 Flash 8B?

Codestral-22B supports an unknown number of tokens and Gemini 1.5 Flash 8B supports 1.0M 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 1.5 Flash 8B?

Key differences include 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 Gemini 1.5 Flash 8B?

Codestral-22B is developed by Mistral AI and Gemini 1.5 Flash 8B is developed by Google.