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Devstral Small 1.1 vs GPT-3.5 Turbo
Comprehensive side-by-side LLM comparison
GPT-3.5 Turbo leads with 31.6% higher average benchmark score. Devstral Small 1.1 offers 235.5K more tokens in context window than GPT-3.5 Turbo. Devstral Small 1.1 is $1.60 cheaper per million tokens. Overall, GPT-3.5 Turbo is the stronger choice for coding tasks.
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Mistral AI
Devstral Small 1.1 is a language model developed by Mistral AI. The model shows competitive results across 1 benchmarks. Notable strengths include SWE-Bench Verified (53.6%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
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OpenAI
GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Devstral Small 1.1
Mistral AI
2025-07-11
Pricing Comparison
Cost per million tokens (USD)
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Devstral Small 1.1
Input:$0.10
Output:$0.30($1.60 cheaper)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Devstral Small 1.1
Average Score:6.0%
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GPT-3.5 Turbo
Average Score:37.6%(+31.6%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Devstral Small 1.1
1 providers
Mistral AI
Throughput: 137.1 tok/s
Latency: 0.23ms
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GPT-3.5 Turbo
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Devstral Small 1.1
Avg Score:6.0%
Providers:1
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GPT-3.5 Turbo
Avg Score:37.6%(+31.6%)
Providers:2