Model Comparison

Phi 4 vs Qwen3-235B-A22B-Instruct-2507

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Phi 4 is 3.6x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Phi 4 outperforms in 0 benchmarks, while Qwen3-235B-A22B-Instruct-2507 is better at 4 benchmarks (GPQA, IFEval, MMLU-Pro, SimpleQA).

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

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, Phi 4 ($0.07/1M tokens) is 2.1x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).

For output processing, Phi 4 ($0.14/1M tokens) is 5.7x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).

In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Phi 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.15
Output tokens$0.80
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

220.3B diff

Qwen3-235B-A22B-Instruct-2507 has 220.3B more parameters than Phi 4, making it 1498.6% larger.

Microsoft
Phi 4
14.7Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
14.7B
Phi 4
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to Phi 4's 16,000 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 tokens, while Phi 4 is limited to 16,000 tokens.

Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

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

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

Phi 4

MIT

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 was released on 2024-12-12, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 7 months newer than Phi 4.

Phi 4

Dec 12, 2024

1.3 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

8 months ago

7mo newer

Knowledge Cutoff

When training data ends

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

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

Phi 4

Jun 2024

Qwen3-235B-A22B-Instruct-2507

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Provider Availability

Phi 4 is available from DeepInfra. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M

Qwen3-235B-A22B-Instruct-2507

fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Microsoft
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Higher GPQA score (77.5% vs 56.1%)
Higher IFEval score (88.7% vs 63.0%)
Higher MMLU-Pro score (83.0% vs 70.4%)
Higher SimpleQA score (54.3% vs 3.0%)

Detailed Comparison

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

FAQ

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

Qwen3-235B-A22B-Instruct-2507 significantly outperforms across most benchmarks. Phi 4 is made by Microsoft and Qwen3-235B-A22B-Instruct-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 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.
Phi 4 is 2.1x cheaper for input tokens. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra. Qwen3-235B-A22B-Instruct-2507 costs $0.15/M input and $0.80/M output via fireworks.
Phi 4 supports 16K tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (16K vs 262K), input pricing ($0.07 vs $0.15/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Phi 4 is developed by Microsoft and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.