Model Comparison
Qwen3-VL-235B-A22B-Instruct
vs
Ring-flash-2.0
Jan 13, 2026
Pricing
Input
$
0.3
/ M Tokens
$
0.14
/ M Tokens
Output
$
1.5
/ M Tokens
$
0.57
/ M Tokens
Metadata
Create on
Sep 22, 2025
Sep 19, 2025
License
APACHE-2.0
MIT
Provider
Qwen
inclusionAI
Specification
State
Available
Available
Architecture
Calibrated
Yes
Yes
Mixture of Experts
Yes
Yes
Total Parameters
235B
100B
Activated Parameters
22B
6.1B
Reasoning
No
No
Precision
FP8
FP8
Context length
262K
131K
Max Tokens
262K
131K
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
Supported
Not supported
Structured Outputs
Not supported
Not supported
Tools
Supported
Not supported
Fim Completion
Supported
Not supported
Chat Prefix Completion
Supported
Supported
Qwen3-VL-235B-A22B-Instruct in Comparison
See how Qwen3-VL-235B-A22B-Instruct compares with other popular models across key dimensions.
