Qwen2.5-Omni-7B vs Qwen3.8 Flash
Qwen3.8 Flash leads the LLM Stats Score 49.6 to 5.4.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 5.4, ranking #17 overall.
In the 3 individual benchmarks reported for both models, Qwen3.8 Flash 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-Omni-7B
- you need open weights you can self-host or fine-tune
Choose Qwen3.8 Flash
- overall performance matters — it scores 49.6 and ranks #17 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 Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
45 reported for Qwen2.5-Omni-7B · 22 for Qwen3.8 Flash
Qwen2.5-Omni-7B outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 3 benchmarks (GPQA, MathVision, RealWorldQA).
Qwen3.8 Flash significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3.8 Flash has 118.0B more parameters than Qwen2.5-Omni-7B, making it 1685.7% larger.
Context Window
Maximum input and output token capacity
Only Qwen3.8 Flash specifies input context (1,000,000 tokens). Only Qwen3.8 Flash specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Both Qwen2.5-Omni-7B and Qwen3.8 Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Qwen2.5-Omni-7B
Qwen3.8 Flash
License
Usage and distribution terms
Qwen2.5-Omni-7B is licensed under Apache 2.0, while Qwen3.8 Flash uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Qwen2.5-Omni-7B was released on 2025-03-27, while Qwen3.8 Flash was released on 2026-08-26.
Qwen3.8 Flash is 17 months newer than Qwen2.5-Omni-7B.
Mar 27, 2025
1.4 years ago
Aug 26, 2026
1 weeks 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-Omni-7B and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2.5-Omni-7B vs Qwen3.8 Flash.