GPT-4 Turbo vs Qwen2.5 72B Instruct
GPT-4 Turbo and Qwen2.5 72B Instruct are closely matched at 9.1 and 12.5 on the LLM Stats Score. Qwen2.5 72B Instruct is 41.4x cheaper per token.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-4 Turbo and Qwen2.5 72B Instruct are closely matched on the overall LLM Stats Score at 9.1 and 12.5.
In the 3 individual benchmarks reported for both models, Qwen2.5 72B Instruct wins 2; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4 Turbo
- you want predictable pricing at $10.00/M input and $30.00/M output
Choose Qwen2.5 72B Instruct
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- 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
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 · 14 for Qwen2.5 72B Instruct
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.
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 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
2.4 years ago
Sep 19, 2024
2.0 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
Judge for yourself.
Run your own prompts against GPT-4 Turbo and Qwen2.5 72B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs Qwen2.5 72B Instruct.