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Phi-4-multimodal-instruct vs Qwen3.8-Flash-Next

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 3.4.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3.8-Flash-Next leads the overall LLM Stats Score 50.5 to 3.4, ranking #14 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Phi-4-multimodal-instruct

  • you want predictable pricing at $0.05/M input and $0.10/M output

Choose Qwen3.8-Flash-Next

  • overall performance matters — it scores 50.5 and ranks #14 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Phi-4-multimodal-instruct
Microsoft
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
3.4
#290
50.5
#14
Reasoning
0.5
#296
50.6
#12
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.05 / M
— / M
Output price
$0.10 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Phi-4-multimodal-instruct
Qwen3.8-Flash-Next
Vision
2.4#160
34.6#11
Multimodal
4.3#132
35.3#8
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

15 reported for Phi-4-multimodal-instruct · 22 for Qwen3.8-Flash-Next

No common benchmarks found

Phi-4-multimodal-instruct and Qwen3.8-Flash-Nextdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

119.4B diff

Qwen3.8-Flash-Next has 119.4B more parameters than Phi-4-multimodal-instruct, making it 2132.1% larger.

Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
5.6B
Phi-4-multimodal-instruct
125.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only Phi-4-multimodal-instruct specifies input context (128,000 tokens). Only Phi-4-multimodal-instruct specifies output context (128,000 tokens).

Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Sun Aug 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Phi-4-multimodal-instruct and Qwen3.8-Flash-Next support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Phi-4-multimodal-instruct

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-4-multimodal-instruct is licensed under MIT, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

Phi-4-multimodal-instruct

MIT

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Phi-4-multimodal-instruct was released on 2025-02-01, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 19 months newer than Phi-4-multimodal-instruct.

Phi-4-multimodal-instruct

Feb 1, 2025

1.6 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

4 days ago

1.6yr newer

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Qwen3.8-Flash-Next's cutoff date is not specified.

We can confirm Phi-4-multimodal-instruct's training data extends to 2024-06-01, but cannot make a direct comparison without Qwen3.8-Flash-Next's cutoff date.

Phi-4-multimodal-instruct

Jun 2024

Qwen3.8-Flash-Next

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

Phi-4-multimodal-instruct
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Phi-4-multimodal-instruct vs Qwen3.8-Flash-Next.

Which is better, Phi-4-multimodal-instruct or Qwen3.8-Flash-Next?

Qwen3.8-Flash-Next leads the LLM Stats Score 50.5 to 3.4. Phi-4-multimodal-instruct is made by Microsoft and Qwen3.8-Flash-Next 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-multimodal-instruct compare to Qwen3.8-Flash-Next in benchmarks?

Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%. Qwen3.8-Flash-Next 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-multimodal-instruct and Qwen3.8-Flash-Next?

Phi-4-multimodal-instruct supports 128K tokens and Qwen3.8-Flash-Next supports an unknown number of 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-multimodal-instruct and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (3.4 vs 50.5), licensing (MIT vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-4-multimodal-instruct and Qwen3.8-Flash-Next?

Phi-4-multimodal-instruct is developed by Microsoft and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.

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