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Phi 4 Reasoning vs Qwen3.8 Flash

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 12.3.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 12.3, ranking #16 overall.

In the 1 individual benchmarks reported for both models, Qwen3.8 Flash wins 1; 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 need open weights you can self-host or fine-tune

Choose Qwen3.8 Flash

  • overall performance matters — it scores 49.6 and ranks #16 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Core performance indexes
12.3
#237
49.6
#16
12.9
#226
49.2
#16
6.5
#177
36.6
#20
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.15 / M
Output price
— / M
$0.47 / M
Context window
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Phi 4 Reasoning
Qwen3.8 Flash
13.9#213
32.6#55
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for Phi 4 Reasoning · 22 for Qwen3.8 Flash

1 shared

Phi 4 Reasoning outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 1 benchmark (GPQA).

Qwen3.8 Flash significantly outperforms across most benchmarks.

Mon Aug 31 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

111.0B diff

Qwen3.8 Flash has 111.0B more parameters than Phi 4 Reasoning, making it 792.9% larger.

Microsoft
Phi 4 Reasoning
14.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
125.0Bparameters
14.0B
Phi 4 Reasoning
125.0B
Qwen3.8 Flash

Context Window

Maximum input and output token capacity

Only Qwen3.8 Flash specifies input context (1,000,000 tokens). Only Qwen3.8 Flash specifies output context (131,072 tokens).

Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8 Flash
Input1,000,000 tokens
Output131,072 tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3.8 Flash supports multimodal inputs, whereas Phi 4 Reasoning does not.

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

Phi 4 Reasoning

Text
Images
Audio
Video

Qwen3.8 Flash

Text
Images
Audio
Video

License

Usage and distribution terms

Phi 4 Reasoning is licensed under MIT, while Qwen3.8 Flash uses a proprietary license.

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

Phi 4 Reasoning

MIT

Open weights

Qwen3.8 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

Phi 4 Reasoning was released on 2025-04-30, while Qwen3.8 Flash was released on 2026-08-26.

Qwen3.8 Flash is 16 months newer than Phi 4 Reasoning.

Phi 4 Reasoning

Apr 30, 2025

1.3 years ago

Qwen3.8 Flash

Aug 26, 2026

4 days ago

1.3yr newer

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Qwen3.8 Flash'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 Qwen3.8 Flash's cutoff date.

Phi 4 Reasoning

Mar 2025

Qwen3.8 Flash

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Phi 4 Reasoning and Qwen3.8 Flash side-by-side, then vote on the output you prefer.

Phi 4 Reasoning
✓ Preferred
Qwen3.8 Flash
Open in Playground

FAQ

Common questions about Phi 4 Reasoning vs Qwen3.8 Flash.

Which is better, Phi 4 Reasoning or Qwen3.8 Flash?

Qwen3.8 Flash leads the LLM Stats Score 49.6 to 12.3. Phi 4 Reasoning is made by Microsoft and Qwen3.8 Flash 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 Qwen3.8 Flash in benchmarks?

Phi 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%. Qwen3.8 Flash scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for Phi 4 Reasoning and Qwen3.8 Flash?

Phi 4 Reasoning supports an unknown number of tokens and Qwen3.8 Flash supports 1.0M 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 Qwen3.8 Flash?

Key differences include LLM Stats Score (12.3 vs 49.6), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi 4 Reasoning and Qwen3.8 Flash?

Phi 4 Reasoning is developed by Microsoft and Qwen3.8 Flash is developed by Alibaba Cloud / Qwen Team.