Model Comparison
Qwen2.5-14B-Instruct
vs
Qwen3-Omni-30B-A3B-Captioner
Feb 28, 2026
Pricing
Input
$
0.1
/ M Tokens
$
0.1
/ M Tokens
Output
$
0.1
/ M Tokens
$
0.4
/ M Tokens
Metadata
Create on
Sep 16, 2024
Sep 15, 2025
License
APACHE-2.0
-
Provider
Qwen
Qwen
Specification
State
Available
Available
Architecture
transformers with RoPE, SwiGLU, RMSNorm, and Attention QKV bias
Qwen3-Omni Mixture of Experts (MoE)
Calibrated
Yes
Yes
Mixture of Experts
Yes
Yes
Total Parameters
14B
30B
Activated Parameters
14.7B
Reasoning
No
No
Precision
FP8
FP8
Context length
33K
66K
Max Tokens
4K
66K
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
Supported
Structured Outputs
Not supported
Not supported
Tools
Supported
Supported
Fim Completion
Not supported
Supported
Chat Prefix Completion
Supported
Supported
Qwen2.5-14B-Instruct in Comparison
See how Qwen2.5-14B-Instruct compares with other popular models across key dimensions.
VS
Qwen3-VL-32B-Instruct
VS
Qwen3-VL-32B-Thinking
VS
Qwen3-VL-8B-Instruct
VS
Qwen3-VL-8B-Thinking
VS
Qwen3-VL-30B-A3B-Instruct
VS
Qwen3-VL-30B-A3B-Thinking
VS
Qwen3-Omni-30B-A3B-Instruct
VS
Qwen3-Omni-30B-A3B-Captioner
VS
Qwen3-Omni-30B-A3B-Thinking
VS
Qwen3-Next-80B-A3B-Instruct
VS
Qwen3-Next-80B-A3B-Thinking
VS
gpt-oss-20b
VS
Qwen3-Coder-30B-A3B-Instruct
VS
Qwen3-30B-A3B-Thinking-2507
VS
Qwen3-30B-A3B-Instruct-2507
VS
Qwen3-14B
VS
Qwen3-30B-A3B
VS
Qwen3-32B
VS
Qwen3-8B
VS
Qwen2.5-VL-32B-Instruct
