GPT-4o vs Qwen3 235B A22B
GPT-4o and Qwen3 235B A22B are closely matched at 11.2 and 15.3 on the LLM Stats Score. Qwen3 235B A22B is 43.8x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-4o and Qwen3 235B A22B are closely matched on the overall LLM Stats Score at 11.2 and 15.3.
In the 5 individual benchmarks reported for both models, GPT-4o wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 235B A22B is roughly 43.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4o
- you value its reported benchmark strengths — it wins 5 of 5 exact shared results
Choose Qwen3 235B A22B
- cost matters — it's about 43.8x cheaper per token
- you want the most recent training data — it shipped Apr 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for GPT-4o · 23 for Qwen3 235B A22B
GPT-4o outperforms in 5 benchmarks (GPQA, MATH, MGSM, MMLU, MMLU-Pro), while Qwen3 235B A22B is better at 0 benchmarks.
GPT-4o 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-4o ($2.50/1M tokens) is 25.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
For output processing, GPT-4o ($10.00/1M tokens) is 100.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
In conclusion, GPT-4o is more expensive than Qwen3 235B A22B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Qwen3 235B A22B can generate longer responses up to 128,000 tokens, while GPT-4o is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o supports multimodal inputs, whereas Qwen3 235B A22B does not.
GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o
Qwen3 235B A22B
License
Usage and distribution terms
GPT-4o is licensed under a proprietary license, while Qwen3 235B A22B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4o was released on 2024-05-13, while Qwen3 235B A22B was released on 2025-04-29.
Qwen3 235B A22B is 12 months newer than GPT-4o.
May 13, 2024
2.4 years ago
Apr 29, 2025
1.5 years ago
11mo 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-4o is available from Azure, OpenAI. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.
GPT-4o
Qwen3 235B A22B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o and Qwen3 235B A22B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o vs Qwen3 235B A22B.