GPT OSS 120B vs Qwen3 VL 235B A22B Instruct
GPT OSS 120B leads the LLM Stats Score 29.2 to 24.8. GPT OSS 120B is 3.3x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT OSS 120B leads the overall LLM Stats Score 29.2 to 24.8, ranking #123 overall.
In the 1 individual benchmarks reported for both models, GPT OSS 120B wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, GPT OSS 120B is roughly 3.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 235B A22B Instruct also accepts a larger context window (262,144 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 GPT OSS 120B
- overall performance matters — it scores 29.2 and ranks #123 on LLM Stats
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 3.3x cheaper per token
Choose Qwen3 VL 235B A22B Instruct
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for GPT OSS 120B · 50 for Qwen3 VL 235B A22B Instruct
GPT OSS 120B outperforms in 1 benchmarks (MMLU), while Qwen3 VL 235B A22B Instruct is better at 0 benchmarks.
GPT OSS 120B 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, GPT OSS 120B ($0.09/1M tokens) is 3.3x cheaper than Qwen3 VL 235B A22B Instruct ($0.30/1M tokens).
For output processing, GPT OSS 120B ($0.45/1M tokens) is 3.3x cheaper than Qwen3 VL 235B A22B Instruct ($1.49/1M tokens).
In conclusion, Qwen3 VL 235B A22B Instruct is more expensive than GPT OSS 120B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Instruct has 119.2B more parameters than GPT OSS 120B, making it 102.1% larger.
Context Window
Maximum input and output token capacity
Qwen3 VL 235B A22B Instruct accepts 262,144 input tokens compared to GPT OSS 120B's 131,072 tokens. Qwen3 VL 235B A22B Instruct can generate longer responses up to 262,144 tokens, while GPT OSS 120B is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas GPT OSS 120B does not.
Qwen3 VL 235B A22B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT OSS 120B
Qwen3 VL 235B A22B Instruct
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 VL 235B A22B Instruct was released on 2025-09-22.
Qwen3 VL 235B A22B Instruct is 2 months newer than GPT OSS 120B.
Aug 5, 2025
1.1 years ago
Sep 22, 2025
11 months ago
1mo 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 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq. Qwen3 VL 235B A22B Instruct is available from DeepInfra, Novita.
GPT OSS 120B
Qwen3 VL 235B A22B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT OSS 120B and Qwen3 VL 235B A22B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT OSS 120B vs Qwen3 VL 235B A22B Instruct.