Model Comparison
Qwen2.5-VL-72B-Instruct
vs
Qwen3-VL-8B-Instruct
Feb 28, 2026
Pricing
Input
$
0.59
/ M Tokens
$
0.18
/ M Tokens
Output
$
0.59
/ M Tokens
$
0.68
/ M Tokens
Metadata
Create on
Jan 27, 2025
Oct 11, 2025
License
-
APACHE-2.0
Provider
Qwen
Qwen
Specification
State
Available
Available
Architecture
Vision-Language Model (VLM) with a Streamlined and Efficient Vision Encoder (ViT with window attention, SwiGLU, RMSNorm) aligned with the Qwen2.5 LLM structure. Features include Dynamic Resolution and Frame Rate Training for video understanding, mRoPE for temporal sequence and speed, and YaRN for long text context length extrapolation.
Dense
Calibrated
No
No
Mixture of Experts
No
No
Total Parameters
72B
8B
Activated Parameters
72B
8B
Reasoning
No
No
Precision
FP8
FP8
Context length
131K
262K
Max Tokens
4K
262K
Supported Functionality
Serverless
Supported
Supported
Serverless LoRA
Not supported
Not supported
Fine-tuning
Not supported
Not supported
Embeddings
Not supported
Not supported
Rerankers
Not supported
Not supported
Support image input
Not supported
Not supported
JSON Mode
Not supported
Supported
Structured Outputs
Not supported
Not supported
Tools
Not supported
Supported
Fim Completion
Not supported
Not supported
Chat Prefix Completion
Supported
Supported
Qwen2.5-VL-72B-Instruct in Comparison
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step3
