GPT OSS 20B High vs Qwen3 Max
GPT OSS 20B High significantly outperforms across most benchmarks. GPT OSS 20B High is 8.1x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT OSS 20B High outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 Max is better at 0 benchmarks. GPT OSS 20B High significantly outperforms across most benchmarks.
On price, GPT OSS 20B High is roughly 8.1x 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 benchmark, pricing, and model metadata for 2026.
Choose GPT OSS 20B High
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 8.1x 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.
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 20B High outperforms in 2 benchmarks (AIME 2025, GPQA), while Qwen3 Max is better at 0 benchmarks.
GPT OSS 20B High significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 20B High ($0.10/1M tokens) is 5.0x cheaper than Qwen3 Max ($0.50/1M tokens).
For output processing, GPT OSS 20B High ($0.50/1M tokens) is 10.0x cheaper than Qwen3 Max ($5.00/1M tokens).
In conclusion, Qwen3 Max is more expensive than GPT OSS 20B High.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 Max has 979.1B more parameters than GPT OSS 20B High, making it 4684.7% larger.
Context Window
Maximum input and output token capacity
Qwen3 Max accepts 256,000 input tokens compared to GPT OSS 20B High's 131,072 tokens. Both models can generate responses up to 131,072 tokens.
License
Usage and distribution terms
GPT OSS 20B High is licensed under Apache 2.0, while Qwen3 Max uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GPT OSS 20B High was released on 2025-08-05, while Qwen3 Max was released on 2025-12-15.
Qwen3 Max is 4 months newer than GPT OSS 20B High.
Aug 5, 2025
1.1 years ago
Dec 15, 2025
8 months ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT OSS 20B High is available from OpenAI. Qwen3 Max is available from Novita.
GPT OSS 20B High
Qwen3 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT OSS 20B High and Qwen3 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 20B High vs Qwen3 Max.