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GPT-3.5 Turbo vs Mistral Small
Comprehensive side-by-side LLM comparison
Mistral Small offers 45.1K more tokens in context window than GPT-3.5 Turbo. Mistral Small is $1.20 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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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
Mistral Small was created as an efficient model offering, designed to provide capable language understanding with reduced computational requirements. Built to serve cost-sensitive applications while maintaining quality, it enables Mistral's technology in scenarios where resource efficiency is valued.
1 year newer
GPT-3.5 Turbo
OpenAI
2023-03-21
Mistral Small
Mistral AI
2024-09-17
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Pricing Comparison
Cost per million tokens (USD)
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GPT-3.5 Turbo
Input:$0.50
Output:$1.50
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Mistral Small
Input:$0.20
Output:$0.60($1.20 cheaper)
Performance Metrics
Context window and performance specifications
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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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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:0.0%
Providers:2
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Mistral Small
Avg Score:0.0%
Providers:1