Model Comparison
Devstral Small 1.1 vs GPT-4.5Which is better in 2026?
Devstral Small 1.1 significantly outperforms across most benchmarks. Devstral Small 1.1 is 625.0x cheaper per token.
Verdict: Devstral Small 1.1 vs GPT-4.5 — which is better?
Devstral Small 1.1 (by Mistral AI) and GPT-4.5 (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.
Devstral Small 1.1 outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-4.5 is better at 0 benchmarks. Devstral Small 1.1 significantly outperforms across most benchmarks.
On price, Devstral Small 1.1 is roughly 625.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
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 625.0x cheaper per token
- you want the most recent training data — it shipped Jul 2025
- you need open weights you can self-host or fine-tune
Choose GPT-4.5 if…
- you want predictable pricing at $75.00/M input and $150.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
Devstral Small 1.1 outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-4.5 is better at 0 benchmarks.
Devstral Small 1.1 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 750.0x cheaper than GPT-4.5 ($75.00/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 500.0x cheaper than GPT-4.5 ($150.00/1M tokens).
In conclusion, GPT-4.5 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
Both models have the same input context window of 128,000 tokens. Devstral Small 1.1 can generate longer responses up to 128,000 tokens, while GPT-4.5 is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
GPT-4.5 supports multimodal inputs, whereas Devstral Small 1.1 does not.
GPT-4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
GPT-4.5
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while GPT-4.5 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-4.5 was released on 2025-02-27.
Devstral Small 1.1 is 4 months newer than GPT-4.5.
Jul 11, 2025
11 months ago
4mo newerFeb 27, 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.
Provider Availability
Devstral Small 1.1 is available from Mistral AI. GPT-4.5 is available from OpenAI.
Devstral Small 1.1
GPT-4.5
Outputs Comparison
Key Takeaways
Devstral Small 1.1
View detailsMistral AI
GPT-4.5
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Devstral Small 1.1 vs GPT-4.5.