DeepSeek-R1 vs Qwen3 Max
Comparing DeepSeek-R1 and Qwen3 Max across benchmarks, pricing, and capabilities.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
DeepSeek-R1 and Qwen3 Max trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-R1 is roughly 1.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 Max also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-R1
- cost matters — it's about 1.7x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Qwen3 Max
- you process long inputs — it offers a 256,000 token context window
- you want the most recent training data — it shipped Dec 2025
At a glance
The differences that matter most.
Individual benchmarks
0 reported for DeepSeek-R1 · 6 for Qwen3 Max
DeepSeek-R1 and Qwen3 Maxdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-R1 ($0.55/1M tokens) is 1.1x more expensive than Qwen3 Max ($0.50/1M tokens).
For output processing, DeepSeek-R1 ($2.19/1M tokens) is 2.3x cheaper than Qwen3 Max ($5.00/1M tokens).
In conclusion, Qwen3 Max is more expensive than DeepSeek-R1.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 Max has 329.0B more parameters than DeepSeek-R1, making it 49.0% larger.
Context Window
Maximum input and output token capacity
Qwen3 Max accepts 256,000 input tokens compared to DeepSeek-R1's 131,072 tokens. Both models can generate responses up to 131,072 tokens.
License
Usage and distribution terms
DeepSeek-R1 is licensed under MIT, while Qwen3 Max uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-R1 was released on 2025-01-20, while Qwen3 Max was released on 2025-12-15.
Qwen3 Max is 11 months newer than DeepSeek-R1.
Jan 20, 2025
1.7 years ago
Dec 15, 2025
9 months ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. Qwen3 Max is available from Novita, DeepInfra.
DeepSeek-R1
Qwen3 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-R1 and Qwen3 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1 vs Qwen3 Max.