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

GPT-4o (2024-05-13) vs Qwen3.5-Flash

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 (2024-05-13) and Qwen3.5-Flash.

OpenAI

GPT-4o (2024-05-13)

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

Qwen3.5-Flash

The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...

View Full Specs

Technical Specifications

SpecificationGPT-4o (2024-05-13)Qwen3.5-Flash
ProviderOpenAIAlibaba
Context Window128,000 tokens1,000,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-05-132026-02-25

API Pricing Comparison

Input Price per Million Tokens

GPT-4o (2024-05-13)

$5.00

Qwen3.5-Flash

$0.07

Output Price per Million Tokens

GPT-4o (2024-05-13)

$15.00

Qwen3.5-Flash

$0.26

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.

GPT-4o (2024-05-13) Quirks & Gotchas

No developer gotchas reported.

Qwen3.5-Flash Quirks & Gotchas

No developer gotchas reported.