Model Comparison

Phi 4 Reasoning Plus vs Qwen3 VL 8B Thinking

Qwen3 VL 8B Thinking shows notably better performance in the majority of benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Phi 4 Reasoning Plus outperforms in 1 benchmarks (IFEval), while Qwen3 VL 8B Thinking is better at 3 benchmarks (AIME 2025, GPQA, MMLU-Pro).

Qwen3 VL 8B Thinking shows notably better performance in the majority of benchmarks.

Wed Apr 29 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 29 2026 • llm-stats.com
Microsoft
Phi 4 Reasoning Plus
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input tokens$0.18
Output tokens$2.09
Best providerDeepinfra
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Model Size

Parameter count comparison

5.0B diff

Phi 4 Reasoning Plus has 5.0B more parameters than Qwen3 VL 8B Thinking, making it 55.6% larger.

Microsoft
Phi 4 Reasoning Plus
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
9.0Bparameters
14.0B
Phi 4 Reasoning Plus
9.0B
Qwen3 VL 8B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).

Microsoft
Phi 4 Reasoning Plus
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Wed Apr 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 8B Thinking supports multimodal inputs, whereas Phi 4 Reasoning Plus does not.

Qwen3 VL 8B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi 4 Reasoning Plus

Text
Images
Audio
Video

Qwen3 VL 8B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Phi 4 Reasoning Plus is licensed under MIT, while Qwen3 VL 8B Thinking uses Apache 2.0.

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

Phi 4 Reasoning Plus

MIT

Open weights

Qwen3 VL 8B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi 4 Reasoning Plus was released on 2025-04-30, while Qwen3 VL 8B Thinking was released on 2025-09-22.

Qwen3 VL 8B Thinking is 5 months newer than Phi 4 Reasoning Plus.

Phi 4 Reasoning Plus

Apr 30, 2025

12 months ago

Qwen3 VL 8B Thinking

Sep 22, 2025

7 months ago

4mo newer

Knowledge Cutoff

When training data ends

Phi 4 Reasoning Plus has a documented knowledge cutoff of 2025-03-01, while Qwen3 VL 8B Thinking's cutoff date is not specified.

We can confirm Phi 4 Reasoning Plus's training data extends to 2025-03-01, but cannot make a direct comparison without Qwen3 VL 8B Thinking's cutoff date.

Phi 4 Reasoning Plus

Mar 2025

Qwen3 VL 8B Thinking

Outputs Comparison

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Key Takeaways

Higher IFEval score (84.9% vs 83.2%)
Alibaba Cloud / Qwen Team

Qwen3 VL 8B Thinking

View details

Alibaba Cloud / Qwen Team

Larger context window (262,144 tokens)
Supports multimodal inputs
Higher AIME 2025 score (80.3% vs 78.0%)
Higher GPQA score (69.9% vs 68.9%)
Higher MMLU-Pro score (77.3% vs 76.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi 4 Reasoning Plus
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking

FAQ

Common questions about Phi 4 Reasoning Plus vs Qwen3 VL 8B Thinking

Qwen3 VL 8B Thinking shows notably better performance in the majority of benchmarks. Phi 4 Reasoning Plus is made by Microsoft and Qwen3 VL 8B Thinking 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 Reasoning Plus scores FlenQA: 97.9%, HumanEval+: 92.3%, IFEval: 84.9%, OmniMath: 81.9%, AIME 2024: 81.3%. Qwen3 VL 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.
Phi 4 Reasoning Plus supports an unknown number of tokens and Qwen3 VL 8B Thinking supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Phi 4 Reasoning Plus is developed by Microsoft and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.