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GPT-4 Turbo vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
GPT-4 Turbo leads with 8.0% higher average benchmark score. Mistral Small 3.1 24B Base offers 123.9K more tokens in context window than GPT-4 Turbo. Mistral Small 3.1 24B Base is $39.60 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, GPT-4 Turbo is the stronger choice for coding tasks.
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OpenAI
GPT-4 Turbo was introduced as an optimized version of GPT-4, designed to provide enhanced performance with improved efficiency and an expanded context window. Built with updated knowledge and refined capabilities, it offered developers a more cost-effective way to leverage GPT-4's advanced reasoning while handling longer conversations and documents.
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Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
11 months newer
GPT-4 Turbo
OpenAI
2024-04-09
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4 Turbo
Input:$10.00
Output:$30.00
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($39.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4 Turbo
Average Score:67.3%(+8.0%)
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Mistral Small 3.1 24B Base
Average Score:59.3%
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Knowledge Cutoff
Training data recency comparison
GPT-4 Turbo
2023-12-31
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-4 Turbo
2 providers
Azure
Throughput: 97 tok/s
Latency: 0.6ms
OpenAI
Throughput: 100 tok/s
Latency: 0.5ms
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GPT-4 Turbo
Avg Score:67.3%(+8.0%)
Providers:2
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Mistral Small 3.1 24B Base
Avg Score:59.3%
Providers:1