+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek R1 Distill Qwen 32B vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 leads with 1.2% higher average benchmark score. Kimi K2 0905 offers 268.3K more tokens in context window than DeepSeek R1 Distill Qwen 32B. DeepSeek R1 Distill Qwen 32B is $2.80 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
Moonshot AI
Kimi K2 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
7 months newer
DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20
Kimi K2 0905
Moonshot AI
2025-09-05
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Input:$0.12
Output:$0.18($2.80 cheaper)
+
+
+
+
Kimi K2 0905
Input:$0.60
Output:$2.50
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Average Score:72.7%
+
+
+
+
Kimi K2 0905
Average Score:73.9%(+1.2%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek R1 Distill Qwen 32B
1 providers
DeepInfra
Throughput: 37 tok/s
Latency: 0.65ms
+
+
+
+
Kimi K2 0905
+
+
+
+
DeepSeek R1 Distill Qwen 32B
Avg Score:72.7%
Providers:1
+
+
+
+
Kimi K2 0905
Avg Score:73.9%(+1.2%)
Providers:2