DeepSeek R1 Distill Qwen 32B vs Qwen3 Max
Qwen3 Max leads the LLM Stats Score 21.7 to 13.1. DeepSeek R1 Distill Qwen 32B is 12.0x cheaper per token.
DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 Max leads the overall LLM Stats Score 21.7 to 13.1, ranking #200 overall.
In the 1 individual benchmarks reported for both models, DeepSeek R1 Distill Qwen 32B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek R1 Distill Qwen 32B is roughly 12.0x 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 Distill Qwen 32B
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 12.0x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Qwen3 Max
- overall performance matters — it scores 21.7 and ranks #200 on LLM Stats
- 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.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Qwen 32B · 6 for Qwen3 Max
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (GPQA), while Qwen3 Max is better at 0 benchmarks.
DeepSeek R1 Distill Qwen 32B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 4.2x cheaper than Qwen3 Max ($0.50/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 27.8x cheaper than Qwen3 Max ($5.00/1M tokens).
In conclusion, Qwen3 Max is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 Max has 967.2B more parameters than DeepSeek R1 Distill Qwen 32B, making it 2948.8% larger.
Context Window
Maximum input and output token capacity
Qwen3 Max accepts 256,000 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B 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 Distill Qwen 32B was released on 2025-01-20, while Qwen3 Max was released on 2025-12-15.
Qwen3 Max is 11 months newer than DeepSeek R1 Distill Qwen 32B.
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 Distill Qwen 32B is available from DeepInfra. Qwen3 Max is available from Novita, DeepInfra.
DeepSeek R1 Distill Qwen 32B
Qwen3 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and Qwen3 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs Qwen3 Max.