Devstral Small 1.1 vs GPT-4
Comparing Devstral Small 1.1 and GPT-4 across benchmarks, pricing, and capabilities.
Mistral AI · OpenAI · Updated for 2026
Which is better?
Devstral Small 1.1 and GPT-4 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Devstral Small 1.1 is roughly 250.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Devstral Small 1.1 also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Devstral Small 1.1
- cost matters — it's about 250.0x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Jul 2025
- you need open weights you can self-host or fine-tune
Choose GPT-4
- you want predictable pricing at $30.00/M input and $60.00/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Devstral Small 1.1 and GPT-4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 300.0x cheaper than GPT-4 ($30.00/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 200.0x cheaper than GPT-4 ($60.00/1M tokens).
In conclusion, GPT-4 is more expensive than Devstral Small 1.1.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Devstral Small 1.1 accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. Devstral Small 1.1 can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
GPT-4 supports multimodal inputs, whereas Devstral Small 1.1 does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
GPT-4
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while GPT-4 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Devstral Small 1.1 was released on 2025-07-11, while GPT-4 was released on 2023-06-13.
Devstral Small 1.1 is 25 months newer than GPT-4.
Jul 11, 2025
1.1 years ago
2.1yr newerJun 13, 2023
3.2 years ago
Knowledge Cutoff
When training data ends
GPT-4 has a documented knowledge cutoff of 2022-12-31, while Devstral Small 1.1's cutoff date is not specified.
We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Devstral Small 1.1's cutoff date.
—
Dec 2022
Provider Availability
Devstral Small 1.1 is available from Mistral AI. GPT-4 is available from Azure, OpenAI.
Devstral Small 1.1
GPT-4
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Small 1.1 and GPT-4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Small 1.1 vs GPT-4.