GPT-4 Turbo vs Qwen3 235B A22B
GPT-4 Turbo and Qwen3 235B A22B are closely matched at 9.0 and 15.6 on the LLM Stats Score. Qwen3 235B A22B is 150.0x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-4 Turbo and Qwen3 235B A22B are closely matched on the overall LLM Stats Score at 9.0 and 15.6.
In the 4 individual benchmarks reported for both models, GPT-4 Turbo wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3 235B A22B is roughly 150.0x 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-4 Turbo
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
Choose Qwen3 235B A22B
- cost matters — it's about 150.0x 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
6 reported for GPT-4 Turbo · 23 for Qwen3 235B A22B
GPT-4 Turbo outperforms in 3 benchmarks (GPQA, MATH, MGSM), while Qwen3 235B A22B is better at 1 benchmark (MMLU).
GPT-4 Turbo shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 Turbo ($10.00/1M tokens) is 100.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 300.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
In conclusion, GPT-4 Turbo 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-4 Turbo is limited to 4,096 tokens.
License
Usage and distribution terms
GPT-4 Turbo 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-4 Turbo was released on 2024-04-09, while Qwen3 235B A22B was released on 2025-04-29.
Qwen3 235B A22B is 13 months newer than GPT-4 Turbo.
Apr 9, 2024
2.4 years ago
Apr 29, 2025
1.4 years ago
1.1yr newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen3 235B A22B's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3 235B A22B's cutoff date.
Dec 2023
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Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.
GPT-4 Turbo
Qwen3 235B A22B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 Turbo and Qwen3 235B A22B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs Qwen3 235B A22B.