Model Comparison
GPT-4 Turbo vs Qwen2.5 72B InstructWhich is better in 2026?
Qwen2.5 72B Instruct shows notably better performance in the majority of benchmarks. Qwen2.5 72B Instruct is 41.4x cheaper per token.
Verdict: GPT-4 Turbo vs Qwen2.5 72B Instruct — which is better?
GPT-4 Turbo (by OpenAI) and Qwen2.5 72B Instruct (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-4 Turbo outperforms in 1 benchmarks (HumanEval), while Qwen2.5 72B Instruct is better at 2 benchmarks (GPQA, MATH). Qwen2.5 72B Instruct shows notably better performance in the majority of benchmarks.
On price, Qwen2.5 72B Instruct is roughly 41.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen2.5 72B Instruct also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4 Turbo if…
- you want predictable pricing at $10.00/M input and $30.00/M output
Choose Qwen2.5 72B Instruct if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- cost matters — it's about 41.4x cheaper per token
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Sep 2024
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 Turbo outperforms in 1 benchmarks (HumanEval), while Qwen2.5 72B Instruct is better at 2 benchmarks (GPQA, MATH).
Qwen2.5 72B Instruct shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 Turbo ($10.00/1M tokens) is 28.6x more expensive than Qwen2.5 72B Instruct ($0.35/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 75.0x more expensive than Qwen2.5 72B Instruct ($0.40/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than Qwen2.5 72B Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Qwen2.5 72B Instruct accepts 131,072 input tokens compared to GPT-4 Turbo's 128,000 tokens. Qwen2.5 72B Instruct can generate longer responses up to 8,192 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 72B Instruct uses Qwen.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Qwen
Open weights
Release Timeline
When each model was launched
GPT-4 Turbo was released on 2024-04-09, while Qwen2.5 72B Instruct was released on 2024-09-19.
Qwen2.5 72B Instruct is 5 months newer than GPT-4 Turbo.
Apr 9, 2024
2.2 years ago
Sep 19, 2024
1.7 years ago
5mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Qwen2.5 72B 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 72B Instruct's cutoff date.
Dec 2023
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Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.
GPT-4 Turbo
Qwen2.5 72B Instruct
Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
Qwen2.5 72B Instruct
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about GPT-4 Turbo vs Qwen2.5 72B Instruct.