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GPT-3.5 Turbo vs Magistral Small 2506
Comprehensive side-by-side LLM comparison
Magistral Small 2506 leads with 37.4% higher average benchmark score. GPT-3.5 Turbo is available on 2 providers. Overall, Magistral Small 2506 is the stronger choice for coding tasks.
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OpenAI
GPT-3.5 Turbo was developed as an optimized version of GPT-3.5, designed to provide a balance of capability and efficiency for conversational and completion tasks. Built to serve as a cost-effective option for applications requiring reliable language understanding and generation, it became widely adopted for chatbots, content generation, and general-purpose AI assistance.
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Mistral AI
Magistral Small was created as an efficient reasoning-focused variant, designed to bring analytical capabilities to applications with tighter resource constraints. Built to balance problem-solving depth with practical deployment needs, it extends reasoning-enhanced AI to broader use cases.
2 years newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Magistral Small 2506
Mistral AI
2025-06-10
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-3.5 Turbo
Average Score:30.8%
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Magistral Small 2506
Average Score:68.2%(+37.4%)
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Knowledge Cutoff
Training data recency comparison
GPT-3.5 Turbo
2021-09-30
Magistral Small 2506
2025-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-3.5 Turbo
2 providers
Azure
Throughput: 90 tok/s
Latency: 0.8ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-3.5 Turbo
Avg Score:30.8%
Providers:2
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Magistral Small 2506
Avg Score:68.2%(+37.4%)
Providers:0