GPT-4 Turbo vs Qwen2.5-Coder 32B Instruct
GPT-4 Turbo shows notably better performance in the majority of benchmarks. Qwen2.5-Coder 32B Instruct is 166.7x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-4 Turbo outperforms in 2 benchmarks (MATH, MMLU), while Qwen2.5-Coder 32B Instruct is better at 1 benchmark (HumanEval). GPT-4 Turbo shows notably better performance in the majority of benchmarks.
On price, Qwen2.5-Coder 32B Instruct is roughly 166.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GPT-4 Turbo
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
Choose Qwen2.5-Coder 32B Instruct
- cost matters — it's about 166.7x cheaper per token
- you want the most recent training data — it shipped Sep 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 Turbo outperforms in 2 benchmarks (MATH, MMLU), while Qwen2.5-Coder 32B Instruct is better at 1 benchmark (HumanEval).
GPT-4 Turbo shows notably better performance in the majority of benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 Turbo ($10.00/1M tokens) is 111.1x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 333.3x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than Qwen2.5-Coder 32B Instruct.*
* 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. Qwen2.5-Coder 32B Instruct 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 Qwen2.5-Coder 32B Instruct 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 Qwen2.5-Coder 32B Instruct was released on 2024-09-19.
Qwen2.5-Coder 32B Instruct is 5 months newer than GPT-4 Turbo.
Apr 9, 2024
2.4 years ago
Sep 19, 2024
1.9 years ago
5mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen2.5-Coder 32B Instruct'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 Qwen2.5-Coder 32B Instruct's cutoff date.
Dec 2023
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Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.
GPT-4 Turbo
Qwen2.5-Coder 32B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 Turbo and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs Qwen2.5-Coder 32B Instruct.