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Phi-4-multimodal-instruct vs Qwen3.8-27B

Comparing Phi-4-multimodal-instruct and Qwen3.8-27B across benchmarks, pricing, and capabilities.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Phi-4-multimodal-instruct and Qwen3.8-27B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, 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 Qwen3.8-27B

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.05 / M
— / M
Output price
$0.10 / M
— / M
Context window
128,000
Released
Feb 2025
Aug 2026
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi-4-multimodal-instruct and Qwen3.8-27Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

22.2B diff

Qwen3.8-27B has 22.2B more parameters than Phi-4-multimodal-instruct, making it 396.1% larger.

Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
5.6B
Phi-4-multimodal-instruct
27.8B
Qwen3.8-27B

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
Qwen3.8-27B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Phi-4-multimodal-instruct and Qwen3.8-27B 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

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-4-multimodal-instruct is licensed under MIT, while Qwen3.8-27B uses Apache 2.0.

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

Phi-4-multimodal-instruct

MIT

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-4-multimodal-instruct was released on 2025-02-01, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 19 months newer than Phi-4-multimodal-instruct.

Phi-4-multimodal-instruct

Feb 1, 2025

1.6 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

1.5yr newer

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Qwen3.8-27B'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 Qwen3.8-27B's cutoff date.

Phi-4-multimodal-instruct

Jun 2024

Qwen3.8-27B

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Phi-4-multimodal-instruct and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Phi-4-multimodal-instruct
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Phi-4-multimodal-instruct vs Qwen3.8-27B.

Which is better, Phi-4-multimodal-instruct or Qwen3.8-27B?

Phi-4-multimodal-instruct (Microsoft) and Qwen3.8-27B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Phi-4-multimodal-instruct compare to Qwen3.8-27B in benchmarks?

Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Phi-4-multimodal-instruct and Qwen3.8-27B?

Phi-4-multimodal-instruct supports 128K tokens and Qwen3.8-27B 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 Qwen3.8-27B?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-4-multimodal-instruct and Qwen3.8-27B?

Phi-4-multimodal-instruct is developed by Microsoft and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.