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Phi 4 Reasoning vs Qwen3 30B A3B

Phi 4 Reasoning and Qwen3 30B A3B are closely matched at 12.0 and 17.3 on the LLM Stats Score.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Phi 4 Reasoning and Qwen3 30B A3B are closely matched on the overall LLM Stats Score at 12.0 and 17.3.

In the 5 individual benchmarks reported for both models, Qwen3 30B A3B wins 5; 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 Phi 4 Reasoning

  • you want the most recent training data — it shipped Apr 2025

Choose Qwen3 30B A3B

  • you value its reported benchmark strengths — it wins 5 of 5 exact shared results

At a glance

The differences that matter most.

Core performance indexes
12.0
#254
17.3
#217
12.6
#243
17.6
#208
6.4
#190
9.8
#167
Cost, coverage & limits
Benchmark wins
0 of 5
5 of 5
Input price
— / M
$0.10 / M
Output price
— / M
$0.30 / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Phi 4 Reasoning
Qwen3 30B A3B
13.6#226
19.6#164
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Phi 4 Reasoning · 8 for Qwen3 30B A3B

5 shared

Phi 4 Reasoning outperforms in 0 benchmarks, while Qwen3 30B A3B is better at 4 benchmarks (AIME 2024, AIME 2025, Arena Hard, LiveCodeBench).

Qwen3 30B A3B significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

16.5B diff

Qwen3 30B A3B has 16.5B more parameters than Phi 4 Reasoning, making it 117.9% larger.

Microsoft
Phi 4 Reasoning
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
30.5Bparameters
14.0B
Phi 4 Reasoning
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).

Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
Input128,000 tokens
Output128,000 tokens
Sun Sep 20 2026 • llm-stats.com

License

Usage and distribution terms

Phi 4 Reasoning is licensed under MIT, while Qwen3 30B A3B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Phi 4 Reasoning

MIT

Open weights

Qwen3 30B A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 Reasoning was released on 2025-04-30, while Qwen3 30B A3B was released on 2025-04-29.

Phi 4 Reasoning is 0 month newer than Qwen3 30B A3B.

Phi 4 Reasoning

Apr 30, 2025

1.4 years ago

1d newer
Qwen3 30B A3B

Apr 29, 2025

1.4 years ago

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Qwen3 30B A3B's cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without Qwen3 30B A3B's cutoff date.

Phi 4 Reasoning

Mar 2025

Qwen3 30B A3B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Phi 4 Reasoning and Qwen3 30B A3B side-by-side, then vote on the output you prefer.

Phi 4 Reasoning
✓ Preferred
Qwen3 30B A3B
Open in Playground

FAQ

Common questions about Phi 4 Reasoning vs Qwen3 30B A3B.

Which is better, Phi 4 Reasoning or Qwen3 30B A3B?

Phi 4 Reasoning and Qwen3 30B A3B are closely matched on the LLM Stats Score at 12.0 and 17.3. Phi 4 Reasoning is made by Microsoft and Qwen3 30B A3B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Phi 4 Reasoning compare to Qwen3 30B A3B in benchmarks?

Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%. 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 Phi 4 Reasoning and Qwen3 30B A3B?

Phi 4 Reasoning 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.

What are the main differences between Phi 4 Reasoning and Qwen3 30B A3B?

Key differences include LLM Stats Score (12.0 vs 17.3), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi 4 Reasoning and Qwen3 30B A3B?

Phi 4 Reasoning is developed by Microsoft and Qwen3 30B A3B is developed by Alibaba Cloud / Qwen Team.