Model Comparison

Devstral Small 1.1 vs Gemini 2.5 Flash-LiteWhich is better in 2026?

Devstral Small 1.1 significantly outperforms across most benchmarks. Devstral Small 1.1 is 1.2x cheaper per token.

Verdict: Devstral Small 1.1 vs Gemini 2.5 Flash-Lite — which is better?

Devstral Small 1.1 (by Mistral AI) and Gemini 2.5 Flash-Lite (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.

Devstral Small 1.1 outperforms in 1 benchmarks (SWE-Bench Verified), while Gemini 2.5 Flash-Lite is better at 0 benchmarks. Devstral Small 1.1 significantly outperforms across most benchmarks.

On price, Devstral Small 1.1 is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 2.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Devstral Small 1.1 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 1.2x cheaper per token
  • you want the most recent training data — it shipped Jul 2025

Choose Gemini 2.5 Flash-Lite if…

  • you process long inputs — it offers a 1,048,576 token context window

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Devstral Small 1.1 outperforms in 1 benchmarks (SWE-Bench Verified), while Gemini 2.5 Flash-Lite is better at 0 benchmarks.

Devstral Small 1.1 significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Devstral Small 1.1 costs less

For input processing, Devstral Small 1.1 ($0.10/1M tokens) costs the same as Gemini 2.5 Flash-Lite ($0.10/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 1.3x cheaper than Gemini 2.5 Flash-Lite ($0.40/1M tokens).

In conclusion, Gemini 2.5 Flash-Lite is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers
Mon Jul 27 2026 • llm-stats.com
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Google
Gemini 2.5 Flash-Lite
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 2.5 Flash-Lite accepts 1,048,576 input tokens compared to Devstral Small 1.1's 128,000 tokens. Devstral Small 1.1 can generate longer responses up to 128,000 tokens, while Gemini 2.5 Flash-Lite is limited to 65,536 tokens.

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Google
Gemini 2.5 Flash-Lite
Input1,048,576 tokens
Output65,536 tokens
Mon Jul 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.5 Flash-Lite supports multimodal inputs, whereas Devstral Small 1.1 does not.

Gemini 2.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.

Devstral Small 1.1

Text
Images
Audio
Video

Gemini 2.5 Flash-Lite

Text
Images
Audio
Video

License

Usage and distribution terms

Devstral Small 1.1 is licensed under Apache 2.0, while Gemini 2.5 Flash-Lite uses Creative Commons Attribution 4.0 License.

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

Devstral Small 1.1

Apache 2.0

Open weights

Gemini 2.5 Flash-Lite

Creative Commons Attribution 4.0 License

Open weights

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while Gemini 2.5 Flash-Lite was released on 2025-06-17.

Devstral Small 1.1 is 1 month newer than Gemini 2.5 Flash-Lite.

Devstral Small 1.1

Jul 11, 2025

1.0 years ago

3w newer
Gemini 2.5 Flash-Lite

Jun 17, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while Devstral Small 1.1's cutoff date is not specified.

We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without Devstral Small 1.1's cutoff date.

Devstral Small 1.1

Gemini 2.5 Flash-Lite

Jan 2025

Provider Availability

Devstral Small 1.1 is available from Mistral AI. Gemini 2.5 Flash-Lite is available from Google.

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Gemini 2.5 Flash-Lite

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive output tokens
Higher SWE-Bench Verified score (53.6% vs 31.6%)
Larger context window (1,048,576 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Devstral Small 1.1 and Gemini 2.5 Flash-Lite side-by-side, then vote on the output you prefer.

Devstral Small 1.1
✓ Preferred
Gemini 2.5 Flash-Lite
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Devstral Small 1.1
Google
Gemini 2.5 Flash-Lite

FAQ

Common questions about Devstral Small 1.1 vs Gemini 2.5 Flash-Lite.

Which is better, Devstral Small 1.1 or Gemini 2.5 Flash-Lite?

Devstral Small 1.1 significantly outperforms across most benchmarks. Devstral Small 1.1 is made by Mistral AI and Gemini 2.5 Flash-Lite is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Devstral Small 1.1 compare to Gemini 2.5 Flash-Lite in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. Gemini 2.5 Flash-Lite scores FACTS Grounding: 84.1%, Global-MMLU-Lite: 81.1%, MMMU: 72.9%, GPQA: 64.6%, Vibe-Eval: 51.3%.

Is Devstral Small 1.1 cheaper than Gemini 2.5 Flash-Lite?

Both models cost $0.10 per million input tokens.

What are the context window sizes for Devstral Small 1.1 and Gemini 2.5 Flash-Lite?

Devstral Small 1.1 supports 128K tokens and Gemini 2.5 Flash-Lite 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 Small 1.1 and Gemini 2.5 Flash-Lite?

Key differences include context window (128K vs 1.0M), multimodal support (no vs yes), licensing (Apache 2.0 vs Creative Commons Attribution 4.0 License). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Small 1.1 and Gemini 2.5 Flash-Lite?

Devstral Small 1.1 is developed by Mistral AI and Gemini 2.5 Flash-Lite is developed by Google.