Model Comparison
GPT OSS 120B vs Qwen3 235B A22BWhich is better in 2026?
GPT OSS 120B significantly outperforms across most benchmarks. Qwen3 235B A22B is 1.8x cheaper per token.
Verdict: GPT OSS 120B vs Qwen3 235B A22B — which is better?
GPT OSS 120B (by OpenAI) and Qwen3 235B A22B (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 120B outperforms in 2 benchmarks (GPQA, MMLU), while Qwen3 235B A22B is better at 0 benchmarks. GPT OSS 120B significantly outperforms across most benchmarks.
On price, Qwen3 235B A22B is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT OSS 120B also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT OSS 120B if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Aug 2025
Choose Qwen3 235B A22B if…
- cost matters — it's about 1.8x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
GPT OSS 120B outperforms in 2 benchmarks (GPQA, MMLU), while Qwen3 235B A22B is better at 0 benchmarks.
GPT OSS 120B significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT OSS 120B ($0.09/1M tokens) is 1.1x cheaper than Qwen3 235B A22B ($0.10/1M tokens).
For output processing, GPT OSS 120B ($0.45/1M tokens) is 4.5x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
In conclusion, GPT OSS 120B is more expensive than Qwen3 235B A22B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 235B A22B has 118.2B more parameters than GPT OSS 120B, making it 101.2% larger.
Context Window
Maximum input and output token capacity
GPT OSS 120B accepts 131,072 input tokens compared to Qwen3 235B A22B's 128,000 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while Qwen3 235B A22B is limited to 128,000 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 120B was released on 2025-08-05, while Qwen3 235B A22B was released on 2025-04-29.
GPT OSS 120B is 3 months newer than Qwen3 235B A22B.
Aug 5, 2025
11 months ago
3mo newerApr 29, 2025
1.2 years 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 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.
GPT OSS 120B
Qwen3 235B A22B
Outputs Comparison
Key Takeaways
GPT OSS 120B
View detailsOpenAI
Qwen3 235B A22B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT OSS 120B and Qwen3 235B A22B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT OSS 120B vs Qwen3 235B A22B.