Model Comparison

Devstral Small 1.1 vs GPT-5 miniWhich is better in 2026?

Comparing Devstral Small 1.1 and GPT-5 mini across benchmarks, pricing, and capabilities.

Verdict: Devstral Small 1.1 vs GPT-5 mini — which is better?

Devstral Small 1.1 (by Mistral AI) and GPT-5 mini (by OpenAI) 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 Small 1.1 is roughly 4.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5 mini also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Devstral Small 1.1 if…

  • cost matters — it's about 4.6x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose GPT-5 mini if…

  • you process long inputs — it offers a 400,000 token context window
  • you want the most recent training data — it shipped Aug 2025
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Small 1.1 and GPT-5 minidon'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 Small 1.1 costs less

For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 2.5x cheaper than GPT-5 mini ($0.25/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 6.7x cheaper than GPT-5 mini ($2.00/1M tokens).

In conclusion, GPT-5 mini is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers
Fri Jun 12 2026 • llm-stats.com
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
OpenAI
GPT-5 mini
Input tokens$0.25
Output tokens$2.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 mini accepts 400,000 input tokens compared to Devstral Small 1.1's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-5 mini
Input400,000 tokens
Output128,000 tokens
Fri Jun 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 mini supports multimodal inputs, whereas Devstral Small 1.1 does not.

GPT-5 mini 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

GPT-5 mini

Text
Images
Audio
Video

License

Usage and distribution terms

Devstral Small 1.1 is licensed under Apache 2.0, while GPT-5 mini uses a proprietary 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

GPT-5 mini

Proprietary

Closed source

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while GPT-5 mini was released on 2025-08-07.

GPT-5 mini is 1 month newer than Devstral Small 1.1.

Devstral Small 1.1

Jul 11, 2025

11 months ago

GPT-5 mini

Aug 7, 2025

10 months ago

3w newer

Knowledge Cutoff

When training data ends

GPT-5 mini has a documented knowledge cutoff of 2024-05-30, while Devstral Small 1.1's cutoff date is not specified.

We can confirm GPT-5 mini's training data extends to 2024-05-30, but cannot make a direct comparison without Devstral Small 1.1's cutoff date.

Devstral Small 1.1

—

GPT-5 mini

May 2024

Provider Availability

Devstral Small 1.1 is available from Mistral AI. GPT-5 mini is available from OpenAI.

Devstral Small 1.1

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

GPT-5 mini

openai logo
OpenAI
Input Price:Input: $0.25/1MOutput Price:Output: $2.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Mistral AI
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Devstral Small 1.1
OpenAI
GPT-5 mini

FAQ

Common questions about Devstral Small 1.1 vs GPT-5 mini.

Which is better, Devstral Small 1.1 or GPT-5 mini?

Devstral Small 1.1 (Mistral AI) and GPT-5 mini (OpenAI) 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 Small 1.1 compare to GPT-5 mini in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. GPT-5 mini scores AIME 2025: 91.1%, HMMT 2025: 87.8%, GPQA: 82.3%, FrontierMath: 22.1%, Humanity's Last Exam: 16.7%.

Is Devstral Small 1.1 cheaper than GPT-5 mini?

Devstral Small 1.1 is 2.5x cheaper for input tokens. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral. GPT-5 mini costs $0.25/M input and $2.00/M output via openai.

What are the context window sizes for Devstral Small 1.1 and GPT-5 mini?

Devstral Small 1.1 supports 128K tokens and GPT-5 mini supports 400K 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 GPT-5 mini?

Key differences include context window (128K vs 400K), input pricing ($0.10 vs $0.25/M), multimodal support (no vs yes), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Small 1.1 and GPT-5 mini?

Devstral Small 1.1 is developed by Mistral AI and GPT-5 mini is developed by OpenAI.

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