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Qwen2.5 14B Instruct vs Qwen3 235B A22B

Qwen3 235B A22B has a slight edge in benchmark performance.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen2.5 14B Instruct outperforms in 4 benchmarks (GSM8k, MATH, MBPP, MultiPL-E), while Qwen3 235B A22B is better at 5 benchmarks (BBH, GPQA, MMLU, MMLU-Pro, MMLU-Redux). Qwen3 235B A22B has a slight edge in benchmark performance.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Qwen2.5 14B Instruct

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

Choose Qwen3 235B A22B

  • you want the strongest raw capability — it leads on 5 of 9 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
Benchmark wins
4 of 9
5 of 9
Input price
— / M
$0.10 / M
Output price
— / M
$0.10 / M
Context window
—
128,000
Released
Sep 2024
Apr 2025
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

9 benchmarks

Qwen2.5 14B Instruct outperforms in 4 benchmarks (GSM8k, MATH, MBPP, MultiPL-E), while Qwen3 235B A22B is better at 5 benchmarks (BBH, GPQA, MMLU, MMLU-Pro, MMLU-Redux).

Qwen3 235B A22B has a slight edge in benchmark performance.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

220.3B diff

Qwen3 235B A22B has 220.3B more parameters than Qwen2.5 14B Instruct, making it 1498.6% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
14.7B
Qwen2.5 14B Instruct
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 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 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 14B Instruct was released on 2024-09-19, while Qwen3 235B A22B was released on 2025-04-29.

Qwen3 235B A22B is 7 months newer than Qwen2.5 14B Instruct.

Qwen2.5 14B Instruct

Sep 19, 2024

1.9 years ago

Qwen3 235B A22B

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→

Judge for yourself.

Run your own prompts against Qwen2.5 14B Instruct and Qwen3 235B A22B side-by-side, then vote on the output you prefer.

Qwen2.5 14B Instruct
✓ Preferred
Qwen3 235B A22B
Open in Playground

FAQ

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

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

Qwen3 235B A22B has a slight edge in benchmark performance. Qwen2.5 14B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3 235B A22B 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 235B A22B in benchmarks?

Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

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

Qwen2.5 14B Instruct supports an unknown number of tokens and Qwen3 235B A22B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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