Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 12.3% higher average benchmark score. DeepSeek R1 Distill Llama 70B offers 108.5K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Both models have similar pricing. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
DeepSeek
DeepSeek-R1-Distill-Llama-70B was created through knowledge distillation from DeepSeek-R1 into a Llama-based architecture, designed to transfer reasoning capabilities to a widely-used open-source foundation. Built to combine DeepSeek's reasoning innovations with Llama's ecosystem compatibility, it enables broader access to advanced reasoning techniques.
Alibaba Cloud / Qwen Team
Qwen3 235B Instruct was created as the instruction-tuned version of Qwen3 235B, designed to follow user instructions while leveraging the model's large-scale architecture. Built to provide advanced instruction-following with efficient mixture-of-experts design, it serves applications requiring both capability and practical deployment.
6 months newer

DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Cost per million tokens (USD)

DeepSeek R1 Distill Llama 70B

Qwen3-235B-A22B-Instruct-2507
Context window and performance specifications
Average performance across 1 common benchmarks

DeepSeek R1 Distill Llama 70B

Qwen3-235B-A22B-Instruct-2507
Available providers and their performance metrics

DeepSeek R1 Distill Llama 70B
DeepInfra

Qwen3-235B-A22B-Instruct-2507

DeepSeek R1 Distill Llama 70B

Qwen3-235B-A22B-Instruct-2507

DeepSeek R1 Distill Llama 70B

Qwen3-235B-A22B-Instruct-2507
Novita