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DeepSeek R1 Distill Qwen 32B vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
Both models have similar pricing. Both models have their strengths depending on your specific coding needs.
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DeepSeek
DeepSeek-R1-Distill-Qwen-32B was created as a larger distilled variant, designed to transfer more of DeepSeek-R1's reasoning capabilities into a Qwen-based foundation. Built to serve applications requiring enhanced analytical depth, it represents a powerful option in the distilled reasoning model family.
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Mistral AI
Mistral Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
6 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek R1 Distill Qwen 32B
Input:$0.12
Output:$0.18
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Mistral NeMo Instruct
Input:$0.15
Output:$0.15
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
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Mistral NeMo Instruct
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DeepSeek R1 Distill Qwen 32B
Avg Score:0.0%
Providers:1
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Mistral NeMo Instruct
Avg Score:0.0%
Providers:2