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DeepSeek-V3.2-Exp vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
DeepSeek-V3.2-Exp leads with 35.7% higher average benchmark score. Mistral Small 3.1 24B Base offers 26.6K more tokens in context window than DeepSeek-V3.2-Exp. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. Overall, DeepSeek-V3.2-Exp is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-V3.2-Exp was introduced as an experimental release, designed to test new architectural innovations and training methodologies. Built to explore the boundaries of mixture-of-experts design, it serves as a research preview for techniques that may be incorporated into future stable releases.
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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.
6 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
DeepSeek-V3.2-Exp
DeepSeek
2025-09-29
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek-V3.2-Exp
Input:$0.27
Output:$0.41
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($0.28 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek-V3.2-Exp
Average Score:82.5%(+35.7%)
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Mistral Small 3.1 24B Base
Average Score:46.8%
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek-V3.2-Exp
2 providers
Novita
ZeroEval
Throughput: 100 tok/s
Latency: 0.7ms
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Mistral Small 3.1 24B Base
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DeepSeek-V3.2-Exp
Avg Score:82.5%(+35.7%)
Providers:2
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Mistral Small 3.1 24B Base
Avg Score:46.8%
Providers:1