Qwen2.5 14B Instruct vs Qwen3.5-397B-A17B
Qwen3.5-397B-A17B leads the LLM Stats Score 38.9 to 3.8.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.5-397B-A17B leads the overall LLM Stats Score 38.9 to 3.8, ranking #60 overall.
In the 3 individual benchmarks reported for both models, Qwen3.5-397B-A17B wins 3; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Qwen2.5 14B Instruct
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
Choose Qwen3.5-397B-A17B
- overall performance matters — it scores 38.9 and ranks #60 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you want the most recent training data — it shipped Feb 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for Qwen2.5 14B Instruct · 38 for Qwen3.5-397B-A17B
Qwen2.5 14B Instruct outperforms in 0 benchmarks, while Qwen3.5-397B-A17B is better at 3 benchmarks (GPQA, MMLU-Pro, MMLU-Redux).
Qwen3.5-397B-A17B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3.5-397B-A17B has 382.3B more parameters than Qwen2.5 14B Instruct, making it 2600.7% larger.
Context Window
Maximum input and output token capacity
Only Qwen3.5-397B-A17B specifies input context (262,144 tokens). Only Qwen3.5-397B-A17B specifies output context (64,000 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3.5-397B-A17B supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.
Qwen3.5-397B-A17B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen2.5 14B Instruct
Qwen3.5-397B-A17B
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen2.5 14B Instruct was released on 2024-09-19, while Qwen3.5-397B-A17B was released on 2026-02-16.
Qwen3.5-397B-A17B is 17 months newer than Qwen2.5 14B Instruct.
Sep 19, 2024
2.0 years ago
Feb 16, 2026
6 months ago
1.4yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen2.5 14B Instruct and Qwen3.5-397B-A17B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2.5 14B Instruct vs Qwen3.5-397B-A17B.