โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

GPT-4o vs Qwen2.5 VL 72B Instruct

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 Qwen2.5 VL 72B Instruct.

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...

View Full Specs
Alibaba

Qwen2.5 VL 72B Instruct

Qwen2.5-VL is proficient in recognizing common objects such as flowers, birds, fish, and insects. It is also highly capable of analyzing texts, charts, icons, graphics, and layouts within images.

View Full Specs

Technical Specifications

SpecificationGPT-4oQwen2.5 VL 72B Instruct
ProviderOpenAIAlibaba
Context Window128,000 tokens131,072 tokens
Agent Suitability90/100N/A
Time to First Token (TTFT)280 msN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-05-132025-02-01

API Pricing Comparison

Input Price per Million Tokens

GPT-4o

$2.50

Qwen2.5 VL 72B Instruct

$0.80

Output Price per Million Tokens

GPT-4o

$10.00

Qwen2.5 VL 72B Instruct

$1.00

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
Qwen2.5 VL 72B Instruct
HumanEvalPython coding & logic synthesis
9020.0%vsN/A
GPT-4o
Qwen2.5 VL 72B Instruct
MATHComplex mathematical problem solving
7660.0%vsN/A
GPT-4o
Qwen2.5 VL 72B Instruct
GPQAGraduate-level expert reasoning
5360.0%vsN/A
GPT-4o
Qwen2.5 VL 72B Instruct
HellaSwagCommonsense reasoning and inference
8870.0%vsN/A
GPT-4o
Qwen2.5 VL 72B Instruct
MT-BenchMulti-turn conversation flow quality
930.0%vsN/A
GPT-4o
Qwen2.5 VL 72B Instruct

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

Qwen2.5 VL 72B Instruct Quirks & Gotchas

No developer gotchas reported.