Model Comparison

Devstral Medium vs Gemini 3.6 FlashWhich is better in 2026?

Comparing Devstral Medium and Gemini 3.6 Flash across benchmarks, pricing, and capabilities.

Verdict: Devstral Medium vs Gemini 3.6 Flash — which is better?

Devstral Medium (by Mistral AI) and Gemini 3.6 Flash (by Google) 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.

On price, Devstral Medium is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.6 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Devstral Medium if…

  • cost matters — it's about 3.8x cheaper per token

Choose Gemini 3.6 Flash if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Medium and Gemini 3.6 Flashdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Devstral Medium costs less

For input processing, Devstral Medium ($0.40/1M tokens) is 3.8x cheaper than Gemini 3.6 Flash ($1.50/1M tokens).

For output processing, Devstral Medium ($2.00/1M tokens) is 3.8x cheaper than Gemini 3.6 Flash ($7.50/1M tokens).

In conclusion, Gemini 3.6 Flash is more expensive than Devstral Medium.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Jul 26 2026 • llm-stats.com
Mistral AI
Devstral Medium
Input tokens$0.40
Output tokens$2.00
Best providerMistral
Google
Gemini 3.6 Flash
Input tokens$1.50
Output tokens$7.50
Best providerGoogle
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.6 Flash accepts 1,048,576 input tokens compared to Devstral Medium's 128,000 tokens. Devstral Medium can generate longer responses up to 128,000 tokens, while Gemini 3.6 Flash is limited to 65,536 tokens.

Mistral AI
Devstral Medium
Input128,000 tokens
Output128,000 tokens
Google
Gemini 3.6 Flash
Input1,048,576 tokens
Output65,536 tokens
Sun Jul 26 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.6 Flash supports multimodal inputs, whereas Devstral Medium does not.

Gemini 3.6 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Devstral Medium

Text
Images
Audio
Video

Gemini 3.6 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Devstral Medium

Proprietary

Closed source

Gemini 3.6 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Devstral Medium was released on 2025-07-10, while Gemini 3.6 Flash was released on 2026-07-21.

Gemini 3.6 Flash is 13 months newer than Devstral Medium.

Devstral Medium

Jul 10, 2025

1.0 years ago

Gemini 3.6 Flash

Jul 21, 2026

4 days ago

1.0yr newer

Knowledge Cutoff

When training data ends

Gemini 3.6 Flash has a documented knowledge cutoff of 2026-03-31, while Devstral Medium's cutoff date is not specified.

We can confirm Gemini 3.6 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Devstral Medium's cutoff date.

Devstral Medium

—

Gemini 3.6 Flash

Mar 2026

Provider Availability

Devstral Medium is available from Mistral AI. Gemini 3.6 Flash is available from Google.

Devstral Medium

mistral logo
Mistral
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M

Gemini 3.6 Flash

google logo
Google
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Less expensive input tokens
Less expensive output tokens
Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Devstral Medium and Gemini 3.6 Flash side-by-side, then vote on the output you prefer.

Devstral Medium
✓ Preferred
Gemini 3.6 Flash
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Devstral Medium
Google
Gemini 3.6 Flash

FAQ

Common questions about Devstral Medium vs Gemini 3.6 Flash.

Which is better, Devstral Medium or Gemini 3.6 Flash?

Devstral Medium (Mistral AI) and Gemini 3.6 Flash (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 Devstral Medium compare to Gemini 3.6 Flash in benchmarks?

Devstral Medium scores SWE-Bench Verified: 61.6%. Gemini 3.6 Flash scores CharXiv-R: 89.4%, OSWorld-Verified: 83.0%, Terminal-Bench 2.1: 78.0%, MLE-Bench: 63.9%, SWE-Bench Pro: 58.7%.

Is Devstral Medium cheaper than Gemini 3.6 Flash?

Devstral Medium is 3.8x cheaper for input tokens. Devstral Medium costs $0.40/M input and $2.00/M output via mistral. Gemini 3.6 Flash costs $1.50/M input and $7.50/M output via google.

What are the context window sizes for Devstral Medium and Gemini 3.6 Flash?

Devstral Medium supports 128K tokens and Gemini 3.6 Flash 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 Devstral Medium and Gemini 3.6 Flash?

Key differences include context window (128K vs 1.0M), input pricing ($0.40 vs $1.50/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Medium and Gemini 3.6 Flash?

Devstral Medium is developed by Mistral AI and Gemini 3.6 Flash is developed by Google.

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