Model Comparison

Phi 4 Mini vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Phi 4 Mini outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 2 benchmarks (GPQA, MMLU-Pro).

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Microsoft
Phi 4 Mini
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

231.2B diff

Qwen3-235B-A22B-Thinking-2507 has 231.2B more parameters than Phi 4 Mini, making it 6019.8% larger.

Microsoft
Phi 4 Mini
3.8Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
3.8B
Phi 4 Mini
235.0B
Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).

Microsoft
Phi 4 Mini
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

Phi 4 Mini is licensed under MIT, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.

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

Phi 4 Mini

MIT

Open weights

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 Mini was released on 2025-02-01, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Qwen3-235B-A22B-Thinking-2507 is 6 months newer than Phi 4 Mini.

Phi 4 Mini

Feb 1, 2025

1.2 years ago

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

8 months ago

5mo newer

Knowledge Cutoff

When training data ends

Phi 4 Mini has a documented knowledge cutoff of 2024-06-01, while Qwen3-235B-A22B-Thinking-2507's cutoff date is not specified.

We can confirm Phi 4 Mini's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3-235B-A22B-Thinking-2507's cutoff date.

Phi 4 Mini

Jun 2024

Qwen3-235B-A22B-Thinking-2507

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Outputs Comparison

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Key Takeaways

Microsoft
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Higher GPQA score (81.1% vs 25.2%)
Higher MMLU-Pro score (84.4% vs 52.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi 4 Mini
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Phi 4 Mini vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Phi 4 Mini is made by Microsoft and Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Phi 4 Mini scores GSM8k: 88.6%, ARC-C: 83.7%, BoolQ: 81.2%, OpenBookQA: 79.2%, PIQA: 77.6%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.
Phi 4 Mini supports an unknown number of tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Phi 4 Mini is developed by Microsoft and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.