Model Comparison
GPT OSS 20B vs Qwen3-235B-A22B-Instruct-2507Which is better in 2026?
Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. GPT OSS 20B is 3.6x cheaper per token.
Verdict: GPT OSS 20B vs Qwen3-235B-A22B-Instruct-2507 — which is better?
GPT OSS 20B (by OpenAI) and Qwen3-235B-A22B-Instruct-2507 (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT OSS 20B outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 1 benchmark (GPQA). Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
On price, GPT OSS 20B is roughly 3.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3-235B-A22B-Instruct-2507 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT OSS 20B if…
- cost matters — it's about 3.6x cheaper per token
- you want the most recent training data — it shipped Aug 2025
Choose Qwen3-235B-A22B-Instruct-2507 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 262,144 token context window
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 20B outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 1 benchmark (GPQA).
Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 20B ($0.05/1M tokens) is 3.0x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).
For output processing, GPT OSS 20B ($0.20/1M tokens) is 4.0x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).
In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than GPT OSS 20B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3-235B-A22B-Instruct-2507 has 214.1B more parameters than GPT OSS 20B, making it 1024.4% larger.
Context Window
Maximum input and output token capacity
Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to GPT OSS 20B's 131,072 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 tokens, while GPT OSS 20B is limited to 32,768 tokens.
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT OSS 20B was released on 2025-08-05, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.
GPT OSS 20B is 0 month newer than Qwen3-235B-A22B-Instruct-2507.
Aug 5, 2025
10 months ago
2w newerJul 22, 2025
11 months ago
Knowledge 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 is available from Novita, Fireworks, Groq, OpenAI. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.
GPT OSS 20B
Qwen3-235B-A22B-Instruct-2507
Outputs Comparison
Key Takeaways
GPT OSS 20B
View detailsOpenAI
Qwen3-235B-A22B-Instruct-2507
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT OSS 20B and Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.
| Feature | | |
|---|
FAQ
Common questions about GPT OSS 20B vs Qwen3-235B-A22B-Instruct-2507.