Qwen2.5-Coder 7B Instruct vs Qwen3 VL 4B Instruct
Qwen3 VL 4B Instruct leads the LLM Stats Score 10.7 to -3.2.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 4B Instruct leads the overall LLM Stats Score 10.7 to -3.2, ranking #260 overall.
In the 3 individual benchmarks reported for both models, Qwen3 VL 4B Instruct 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-Coder 7B Instruct
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
Choose Qwen3 VL 4B Instruct
- overall performance matters — it scores 10.7 and ranks #260 on LLM Stats
- your work emphasizes reasoning — 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 Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Qwen2.5-Coder 7B Instruct · 45 for Qwen3 VL 4B Instruct
Qwen2.5-Coder 7B Instruct outperforms in 0 benchmarks, while Qwen3 VL 4B Instruct is better at 3 benchmarks (MMLU, MMLU-Pro, MMLU-Redux).
Qwen3 VL 4B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5-Coder 7B Instruct has 3.0B more parameters than Qwen3 VL 4B Instruct, making it 75.0% larger.
Context Window
Maximum input and output token capacity
Only Qwen3 VL 4B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 4B Instruct specifies output context (262,144 tokens).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 4B Instruct supports multimodal inputs, whereas Qwen2.5-Coder 7B Instruct does not.
Qwen3 VL 4B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen2.5-Coder 7B Instruct
Qwen3 VL 4B Instruct
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-Coder 7B Instruct was released on 2024-09-19, while Qwen3 VL 4B Instruct was released on 2025-09-22.
Qwen3 VL 4B Instruct is 12 months newer than Qwen2.5-Coder 7B Instruct.
Sep 19, 2024
2.0 years ago
Sep 22, 2025
11 months ago
1.0yr 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-Coder 7B Instruct and Qwen3 VL 4B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2.5-Coder 7B Instruct vs Qwen3 VL 4B Instruct.