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Phi-3.5-vision-instruct vs Qwen3.8-Flash-Next

Comparing Phi-3.5-vision-instruct and Qwen3.8-Flash-Next across benchmarks, pricing, and capabilities.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Phi-3.5-vision-instruct and Qwen3.8-Flash-Next 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-3.5-vision-instruct

  • you are already invested in the Microsoft ecosystem

Choose Qwen3.8-Flash-Next

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

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window
Released
Aug 2024
Aug 2026
License
MIT
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi-3.5-vision-instruct and Qwen3.8-Flash-Nextdon'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

120.8B diff

Qwen3.8-Flash-Next has 120.8B more parameters than Phi-3.5-vision-instruct, making it 2876.2% larger.

Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
4.2B
Phi-3.5-vision-instruct
125.0B
Qwen3.8-Flash-Next

Input Capabilities

Supported data types and modalities

Both Phi-3.5-vision-instruct and Qwen3.8-Flash-Next support multimodal inputs.

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

Phi-3.5-vision-instruct

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-3.5-vision-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-3.5-vision-instruct

MIT

Open weights

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Phi-3.5-vision-instruct was released on 2024-08-23, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 24 months newer than Phi-3.5-vision-instruct.

Phi-3.5-vision-instruct

Aug 23, 2024

2.0 years ago

Qwen3.8-Flash-Next

Aug 26, 2026

0 days ago

2.0yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Phi-3.5-vision-instruct and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Phi-3.5-vision-instruct
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Phi-3.5-vision-instruct vs Qwen3.8-Flash-Next.

Which is better, Phi-3.5-vision-instruct or Qwen3.8-Flash-Next?

Phi-3.5-vision-instruct (Microsoft) and Qwen3.8-Flash-Next (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-3.5-vision-instruct compare to Qwen3.8-Flash-Next in benchmarks?

Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%. 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 main differences between Phi-3.5-vision-instruct and Qwen3.8-Flash-Next?

Key differences include licensing (MIT vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-3.5-vision-instruct and Qwen3.8-Flash-Next?

Phi-3.5-vision-instruct is developed by Microsoft and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.