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Phi-3.5-vision-instruct vs Qwen3-235B-A22B-Instruct-2507

Comparing Phi-3.5-vision-instruct and Qwen3-235B-A22B-Instruct-2507 across benchmarks, pricing, and capabilities.

Microsoft · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Phi-3.5-vision-instruct and Qwen3-235B-A22B-Instruct-2507 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 Qwen3-235B-A22B-Instruct-2507

  • you want the most recent training data — it shipped Jul 2025

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
$0.15 / M
Output price
— / M
$0.80 / M
Context window
262,144
Released
Aug 2024
Jul 2025
License
MIT
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi-3.5-vision-instruct and Qwen3-235B-A22B-Instruct-2507don'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

230.8B diff

Qwen3-235B-A22B-Instruct-2507 has 230.8B more parameters than Phi-3.5-vision-instruct, making it 5495.2% larger.

Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
4.2B
Phi-3.5-vision-instruct
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Instruct-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Instruct-2507 specifies output context (131,072 tokens).

Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Thu Aug 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-3.5-vision-instruct supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi-3.5-vision-instruct

Text
Images
Audio
Video

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-3.5-vision-instruct is licensed under MIT, while Qwen3-235B-A22B-Instruct-2507 uses Apache 2.0.

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

Phi-3.5-vision-instruct

MIT

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-3.5-vision-instruct was released on 2024-08-23, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 11 months newer than Phi-3.5-vision-instruct.

Phi-3.5-vision-instruct

Aug 23, 2024

2.0 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

1.1 years ago

11mo 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 Qwen3-235B-A22B-Instruct-2507 side-by-side, then vote on the output you prefer.

Phi-3.5-vision-instruct
✓ Preferred
Qwen3-235B-A22B-Instruct-2507
Open in Playground

FAQ

Common questions about Phi-3.5-vision-instruct vs Qwen3-235B-A22B-Instruct-2507.

Which is better, Phi-3.5-vision-instruct or Qwen3-235B-A22B-Instruct-2507?

Phi-3.5-vision-instruct (Microsoft) and Qwen3-235B-A22B-Instruct-2507 (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 Qwen3-235B-A22B-Instruct-2507 in benchmarks?

Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%. Qwen3-235B-A22B-Instruct-2507 scores ZebraLogic: 95.0%, MMLU-Redux: 93.1%, IFEval: 88.7%, MultiPL-E: 87.9%, Creative Writing v3: 87.5%.

What are the context window sizes for Phi-3.5-vision-instruct and Qwen3-235B-A22B-Instruct-2507?

Phi-3.5-vision-instruct supports an unknown number of tokens and Qwen3-235B-A22B-Instruct-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Phi-3.5-vision-instruct and Qwen3-235B-A22B-Instruct-2507?

Key differences include multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Phi-3.5-vision-instruct and Qwen3-235B-A22B-Instruct-2507?

Phi-3.5-vision-instruct is developed by Microsoft and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.