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GPT-4o vs Qwen 2.5 72B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-4o and Qwen 2.5 72B.

OpenAI

GPT-4o

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

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Alibaba

Qwen 2.5 72B

Qwen 2.5 72B is Alibaba Cloud's flagship open-weight large language model from the Qwen 2.5 generation, delivering GPT-4-class performance across general reasoning, coding, mathematics, and multilingual tasks with strong Chinese-language superiority. It supports a 131,072-token context window and is available under a permissive Apache 2.0 license for both research and commercial use, making it one of the most popular open-weight alternatives to Llama for bilingual applications.

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Technical Specifications

SpecificationGPT-4oQwen 2.5 72B
ProviderOpenAIAlibaba
Context Window128,000 tokens131,072 tokens
Agent Suitability90/10088/100
Time to First Token (TTFT)280 ms280 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-05-132025-09-19

API Pricing Comparison

Input Price per Million Tokens

GPT-4o

$2.50

Qwen 2.5 72B

$0.40

Output Price per Million Tokens

GPT-4o

$10.00

Qwen 2.5 72B

$0.80

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8870.0%vsN/A
GPT-4o
Qwen 2.5 72B
HumanEvalPython coding & logic synthesis
9020.0%vsN/A
GPT-4o
Qwen 2.5 72B
MATHComplex mathematical problem solving
7660.0%vsN/A
GPT-4o
Qwen 2.5 72B
GPQAGraduate-level expert reasoning
5360.0%vsN/A
GPT-4o
Qwen 2.5 72B
HellaSwagCommonsense reasoning and inference
8870.0%vsN/A
GPT-4o
Qwen 2.5 72B
MT-BenchMulti-turn conversation flow quality
930.0%vsN/A
GPT-4o
Qwen 2.5 72B

GPT-4o Quirks & Gotchas

  • โ–ธStrong multimodal performance โ€” best vision+tool calling combo
  • โ–ธLegacy model โ€” migrate to GPT-5 for latest improvements

Qwen 2.5 72B Quirks & Gotchas

  • โ–ธStrong bilingual (ZH/EN) performance โ€” best open model for Chinese-language tasks
  • โ–ธSelf-hostable via vLLM or Ollama with 4-bit quantization