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Model Comparison

Qwen2.5 14B Instruct vs Qwen3 30B A3BWhich is better in 2026?

Qwen3 30B A3B significantly outperforms across most benchmarks.

Verdict: Qwen2.5 14B Instruct vs Qwen3 30B A3B — which is better?

Qwen2.5 14B Instruct (by Alibaba Cloud / Qwen Team) and Qwen3 30B A3B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Qwen2.5 14B Instruct outperforms in 0 benchmarks, while Qwen3 30B A3B is better at 1 benchmark (GPQA). Qwen3 30B A3B significantly outperforms across most benchmarks.

Choose Qwen2.5 14B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Choose Qwen3 30B A3B if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Qwen2.5 14B Instruct outperforms in 0 benchmarks, while Qwen3 30B A3B is better at 1 benchmark (GPQA).

Qwen3 30B A3B significantly outperforms across most benchmarks.

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

15.8B diff

Qwen3 30B A3B has 15.8B more parameters than Qwen2.5 14B Instruct, making it 107.5% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
30.5Bparameters
14.7B
Qwen2.5 14B Instruct
30.5B
Qwen3 30B A3B

Context Window

Maximum input and output token capacity

Only Qwen3 30B A3B specifies input context (128,000 tokens). Only Qwen3 30B A3B specifies output context (128,000 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
Input128,000 tokens
Output128,000 tokens
Fri Aug 07 2026 • llm-stats.com

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 30B A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 14B Instruct was released on 2024-09-19, while Qwen3 30B A3B was released on 2025-04-29.

Qwen3 30B A3B is 7 months newer than Qwen2.5 14B Instruct.

Qwen2.5 14B Instruct

Sep 19, 2024

1.9 years ago

Qwen3 30B A3B

Apr 29, 2025

1.3 years ago

7mo 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.

Alibaba Cloud / Qwen Team

Qwen3 30B A3B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)
Higher GPQA score (65.8% vs 45.5%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen2.5 14B Instruct and Qwen3 30B A3B side-by-side, then vote on the output you prefer.

Qwen2.5 14B Instruct
✓ Preferred
Qwen3 30B A3B
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
Qwen3 30B A3B

FAQ

Common questions about Qwen2.5 14B Instruct vs Qwen3 30B A3B.

Which is better, Qwen2.5 14B Instruct or Qwen3 30B A3B?

Qwen3 30B A3B significantly outperforms across most benchmarks. Qwen2.5 14B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3 30B A3B 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 30B A3B in benchmarks?

Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%. Qwen3 30B A3B scores Arena Hard: 91.0%, AIME 2024: 80.4%, LiveBench: 74.3%, Multi-IF: 72.2%, AIME 2025: 70.9%.

What are the context window sizes for Qwen2.5 14B Instruct and Qwen3 30B A3B?

Qwen2.5 14B Instruct supports an unknown number of tokens and Qwen3 30B A3B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.