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DeepSeek R1 Distill Qwen 32B vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Kimi K2 Instruct offers 6.1K more tokens in context window than DeepSeek R1 Distill Qwen 32B. DeepSeek R1 Distill Qwen 32B is $2.57 cheaper per million tokens. 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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Moonshot AI
Kimi K2 Instruct was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
5 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Kimi K2 Instruct
Moonshot AI
2025-07-11
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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($2.57 cheaper)
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Kimi K2 Instruct
Input:$0.57
Output:$2.30
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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DeepSeek R1 Distill Qwen 32B
Average Score:79.9%
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Kimi K2 Instruct
Average Score:80.7%(+0.8%)
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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Kimi K2 Instruct
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DeepSeek R1 Distill Qwen 32B
Avg Score:79.9%
Providers:1
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Kimi K2 Instruct
Avg Score:80.7%(+0.8%)
Providers:1