Model Comparison

Qwen2.5 14B Instruct vs Qwen3 VL 235B A22B Thinking

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Qwen2.5 14B Instruct outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Thinking is better at 3 benchmarks (MMLU, MMLU-Pro, MMLU-Redux).

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

221.3B diff

Qwen3 VL 235B A22B Thinking has 221.3B more parameters than Qwen2.5 14B Instruct, making it 1505.4% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
236.0Bparameters
14.7B
Qwen2.5 14B Instruct
236.0B
Qwen3 VL 235B A22B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Thinking specifies output context (262,144 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking
Input262,144 tokens
Output262,144 tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 235B A22B Thinking supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.

Qwen3 VL 235B A22B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen2.5 14B Instruct

Text
Images
Audio
Video

Qwen3 VL 235B A22B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Qwen3 VL 235B A22B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 14B Instruct was released on 2024-09-19, while Qwen3 VL 235B A22B Thinking was released on 2025-09-22.

Qwen3 VL 235B A22B Thinking is 12 months newer than Qwen2.5 14B Instruct.

Qwen2.5 14B Instruct

Sep 19, 2024

1.7 years ago

Qwen3 VL 235B A22B Thinking

Sep 22, 2025

7 months ago

1.0yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Larger context window (262,144 tokens)
Supports multimodal inputs
Higher MMLU score (90.6% vs 79.7%)
Higher MMLU-Pro score (83.8% vs 63.7%)
Higher MMLU-Redux score (93.7% vs 80.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Thinking

FAQ

Common questions about Qwen2.5 14B Instruct vs Qwen3 VL 235B A22B Thinking.

Which is better, Qwen2.5 14B Instruct or Qwen3 VL 235B A22B Thinking?

Qwen3 VL 235B A22B Thinking significantly outperforms across most benchmarks. Qwen2.5 14B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3 VL 235B A22B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Qwen2.5 14B Instruct compare to Qwen3 VL 235B A22B Thinking in benchmarks?

Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%. Qwen3 VL 235B A22B Thinking scores ZebraLogic: 97.3%, DocVQAtest: 96.5%, ScreenSpot: 95.4%, CountBench: 93.7%, MMLU-Redux: 93.7%.

What are the context window sizes for Qwen2.5 14B Instruct and Qwen3 VL 235B A22B Thinking?

Qwen2.5 14B Instruct supports an unknown number of tokens and Qwen3 VL 235B A22B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen2.5 14B Instruct and Qwen3 VL 235B A22B Thinking?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.