Model Comparison

DiffusionGemma 26B-A4B vs Mistral Medium 3.5Which is better in 2026?

Comparing DiffusionGemma 26B-A4B and Mistral Medium 3.5 across benchmarks, pricing, and capabilities.

Verdict: DiffusionGemma 26B-A4B vs Mistral Medium 3.5 — which is better?

DiffusionGemma 26B-A4B (by Google) and Mistral Medium 3.5 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DiffusionGemma 26B-A4B if…

  • you want the most recent training data — it shipped Jun 2026

Choose Mistral Medium 3.5 if…

  • you want predictable pricing at $1.50/M input and $7.50/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DiffusionGemma 26B-A4B and Mistral Medium 3.5don'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

102.8B diff

Mistral Medium 3.5 has 102.8B more parameters than DiffusionGemma 26B-A4B, making it 407.9% larger.

Google
DiffusionGemma 26B-A4B
25.2Bparameters
Mistral AI
Mistral Medium 3.5
128.0Bparameters
25.2B
DiffusionGemma 26B-A4B
128.0B
Mistral Medium 3.5

Context Window

Maximum input and output token capacity

Only Mistral Medium 3.5 specifies input context (256,000 tokens). Only Mistral Medium 3.5 specifies output context (256,000 tokens).

Google
DiffusionGemma 26B-A4B
Input- tokens
Output- tokens
Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DiffusionGemma 26B-A4B and Mistral Medium 3.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DiffusionGemma 26B-A4B

Text
Images
Audio
Video

Mistral Medium 3.5

Text
Images
Audio
Video

License

Usage and distribution terms

DiffusionGemma 26B-A4B is licensed under Apache 2.0, while Mistral Medium 3.5 uses Modified MIT License.

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

DiffusionGemma 26B-A4B

Apache 2.0

Open weights

Mistral Medium 3.5

Modified MIT License

Open weights

Release Timeline

When each model was launched

DiffusionGemma 26B-A4B was released on 2026-06-10, while Mistral Medium 3.5 was released on 2026-04-29.

DiffusionGemma 26B-A4B is 1 month newer than Mistral Medium 3.5.

DiffusionGemma 26B-A4B

Jun 10, 2026

1 months ago

1mo newer
Mistral Medium 3.5

Apr 29, 2026

2 months ago

Knowledge Cutoff

When training data ends

DiffusionGemma 26B-A4B has a documented knowledge cutoff of 2025-01-01, while Mistral Medium 3.5's cutoff date is not specified.

We can confirm DiffusionGemma 26B-A4B's training data extends to 2025-01-01, but cannot make a direct comparison without Mistral Medium 3.5's cutoff date.

DiffusionGemma 26B-A4B

Jan 2025

Mistral Medium 3.5

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Outputs Comparison

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Key Takeaways

Google

No standout differentiators in the data we have for this pair.

Mistral AI
Larger context window (256,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DiffusionGemma 26B-A4B and Mistral Medium 3.5 side-by-side, then vote on the output you prefer.

DiffusionGemma 26B-A4B
✓ Preferred
Mistral Medium 3.5
Open in Playground
AI Model Comparison Table
Feature
Google
DiffusionGemma 26B-A4B
Mistral AI
Mistral Medium 3.5

FAQ

Common questions about DiffusionGemma 26B-A4B vs Mistral Medium 3.5.

Which is better, DiffusionGemma 26B-A4B or Mistral Medium 3.5?

DiffusionGemma 26B-A4B (Google) and Mistral Medium 3.5 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DiffusionGemma 26B-A4B compare to Mistral Medium 3.5 in benchmarks?

DiffusionGemma 26B-A4B scores MMMLU: 81.5%, MMLU-Pro: 77.6%, GPQA: 73.2%, MathVision: 70.5%, AIME 2026: 69.1%. Mistral Medium 3.5 scores COLLIE: 95.8%, Tau3 Telecom: 91.4%, AIME 2025: 86.3%, SWE-Bench Verified: 77.6%, Tau3 Retail: 76.1%.

What are the context window sizes for DiffusionGemma 26B-A4B and Mistral Medium 3.5?

DiffusionGemma 26B-A4B supports an unknown number of tokens and Mistral Medium 3.5 supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DiffusionGemma 26B-A4B and Mistral Medium 3.5?

Key differences include licensing (Apache 2.0 vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes DiffusionGemma 26B-A4B and Mistral Medium 3.5?

DiffusionGemma 26B-A4B is developed by Google and Mistral Medium 3.5 is developed by Mistral AI.

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