Distilled reasoning model based on Llama 3.3 70B using DeepSeek R1 outputs.
Alibaba's updated Qwen3.8 Max flagship snapshot, post-trained for coding and agentic work.
No shared demos for these models yet.
No captured outputs for these models yet.
Both DeepSeek R1 Distill Llama 70B and Qwen3.8 Max (0902) are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
DeepSeek R1 Distill Llama 70B has a lower blended cost. DeepSeek R1 Distill Llama 70B: $0.80 input / $0.80 output. Qwen3.8 Max (0902): $2.00 input / $6.00 output.
Qwen3.8 Max (0902) has a larger context window: DeepSeek R1 Distill Llama 70B supports 8K tokens vs Qwen3.8 Max (0902) at 1M tokens.
Qwen3.8 Max (0902) supports vision/image input, but DeepSeek R1 Distill Llama 70B does not.
Key differences: DeepSeek R1 Distill Llama 70B is significantly cheaper; only Qwen3.8 Max (0902) supports vision input. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both DeepSeek R1 Distill Llama 70B and Qwen3.8 Max (0902) for free on idapt.app to see which performs better for your specific needs.