Model Comparison

Devstral Medium vs Gemma 3 12BWhich is better in 2026?

Comparing Devstral Medium and Gemma 3 12B across benchmarks, pricing, and capabilities.

Verdict: Devstral Medium vs Gemma 3 12B — which is better?

Devstral Medium (by Mistral AI) and Gemma 3 12B (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, Gemma 3 12B is roughly 12.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemma 3 12B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose Devstral Medium if…

  • you want the most recent training data — it shipped Jul 2025

Choose Gemma 3 12B if…

  • cost matters — it's about 12.8x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Medium and Gemma 3 12Bdon'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

Gemma 3 12B costs less

For input processing, Devstral Medium ($0.40/1M tokens) is 8.0x more expensive than Gemma 3 12B ($0.05/1M tokens).

For output processing, Devstral Medium ($2.00/1M tokens) is 20.0x more expensive than Gemma 3 12B ($0.10/1M tokens).

In conclusion, Devstral Medium is more expensive than Gemma 3 12B.*

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Mistral AI
Devstral Medium
Input tokens$0.40
Output tokens$2.00
Best providerMistral
Google
Gemma 3 12B
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemma 3 12B accepts 131,072 input tokens compared to Devstral Medium's 128,000 tokens. Gemma 3 12B can generate longer responses up to 131,072 tokens, while Devstral Medium is limited to 128,000 tokens.

Mistral AI
Devstral Medium
Input128,000 tokens
Output128,000 tokens
Google
Gemma 3 12B
Input131,072 tokens
Output131,072 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemma 3 12B supports multimodal inputs, whereas Devstral Medium does not.

Gemma 3 12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Devstral Medium

Text
Images
Audio
Video

Gemma 3 12B

Text
Images
Audio
Video

License

Usage and distribution terms

Devstral Medium is licensed under a proprietary license, while Gemma 3 12B uses Gemma.

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

Devstral Medium

Proprietary

Closed source

Gemma 3 12B

Gemma

Open weights

Release Timeline

When each model was launched

Devstral Medium was released on 2025-07-10, while Gemma 3 12B was released on 2025-03-12.

Devstral Medium is 4 months newer than Gemma 3 12B.

Devstral Medium

Jul 10, 2025

11 months ago

4mo newer
Gemma 3 12B

Mar 12, 2025

1.3 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

Provider Availability

Devstral Medium is available from Mistral AI. Gemma 3 12B is available from DeepInfra.

Devstral Medium

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

Gemma 3 12B

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI

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

Google
Larger context window (131,072 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Devstral Medium
Google
Gemma 3 12B

FAQ

Common questions about Devstral Medium vs Gemma 3 12B.

Which is better, Devstral Medium or Gemma 3 12B?

Devstral Medium (Mistral AI) and Gemma 3 12B (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 Gemma 3 12B in benchmarks?

Devstral Medium scores SWE-Bench Verified: 61.6%. Gemma 3 12B scores GSM8k: 94.4%, IFEval: 88.9%, DocVQA: 87.1%, BIG-Bench Hard: 85.7%, HumanEval: 85.4%.

Is Devstral Medium cheaper than Gemma 3 12B?

Gemma 3 12B is 8.0x cheaper for input tokens. Devstral Medium costs $0.40/M input and $2.00/M output via mistral. Gemma 3 12B costs $0.05/M input and $0.10/M output via deepinfra.

What are the context window sizes for Devstral Medium and Gemma 3 12B?

Devstral Medium supports 128K tokens and Gemma 3 12B supports 131K 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 Gemma 3 12B?

Key differences include context window (128K vs 131K), input pricing ($0.40 vs $0.05/M), multimodal support (no vs yes), licensing (Proprietary vs Gemma). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Medium and Gemma 3 12B?

Devstral Medium is developed by Mistral AI and Gemma 3 12B is developed by Google.

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