Comprehensive side-by-side LLM comparison
GPT-5 nano leads with 9.1% higher average benchmark score. GPT-5 nano offers 272.0K more tokens in context window than DeepSeek R1 Distill Qwen 32B. Both models have similar pricing. GPT-5 nano supports multimodal inputs. Overall, GPT-5 nano is the stronger choice for coding tasks.
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.
OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
6 months newer

DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20

GPT-5 nano
OpenAI
2025-08-07
Cost per million tokens (USD)

DeepSeek R1 Distill Qwen 32B

GPT-5 nano
Context window and performance specifications
Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 32B

GPT-5 nano
GPT-5 nano
2024-05-30
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 32B
DeepInfra

GPT-5 nano

DeepSeek R1 Distill Qwen 32B

GPT-5 nano

DeepSeek R1 Distill Qwen 32B

GPT-5 nano
OpenAI
ZeroEval