Model Comparison

Phi-4-multimodal-instruct vs Qwen3-235B-A22B-Instruct-2507

Comparing Phi-4-multimodal-instruct and Qwen3-235B-A22B-Instruct-2507 across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Phi-4-multimodal-instruct and Qwen3-235B-A22B-Instruct-2507 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi-4-multimodal-instruct costs less

For input processing, Phi-4-multimodal-instruct ($0.05/1M tokens) is 3.0x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.15/1M tokens).

For output processing, Phi-4-multimodal-instruct ($0.10/1M tokens) is 8.0x cheaper than Qwen3-235B-A22B-Instruct-2507 ($0.80/1M tokens).

In conclusion, Qwen3-235B-A22B-Instruct-2507 is more expensive than Phi-4-multimodal-instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
Microsoft
Phi-4-multimodal-instruct
Input tokens$0.05
Output tokens$0.10
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input tokens$0.15
Output tokens$0.80
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

229.4B diff

Qwen3-235B-A22B-Instruct-2507 has 229.4B more parameters than Phi-4-multimodal-instruct, making it 4096.4% larger.

Microsoft
Phi-4-multimodal-instruct
5.6Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
235.0Bparameters
5.6B
Phi-4-multimodal-instruct
235.0B
Qwen3-235B-A22B-Instruct-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Instruct-2507 accepts 262,144 input tokens compared to Phi-4-multimodal-instruct's 128,000 tokens. Qwen3-235B-A22B-Instruct-2507 can generate longer responses up to 131,072 tokens, while Phi-4-multimodal-instruct is limited to 128,000 tokens.

Microsoft
Phi-4-multimodal-instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507
Input262,144 tokens
Output131,072 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-4-multimodal-instruct supports multimodal inputs, whereas Qwen3-235B-A22B-Instruct-2507 does not.

Phi-4-multimodal-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Phi-4-multimodal-instruct

Text
Images
Audio
Video

Qwen3-235B-A22B-Instruct-2507

Text
Images
Audio
Video

License

Usage and distribution terms

Phi-4-multimodal-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-4-multimodal-instruct

MIT

Open weights

Qwen3-235B-A22B-Instruct-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Phi-4-multimodal-instruct was released on 2025-02-01, while Qwen3-235B-A22B-Instruct-2507 was released on 2025-07-22.

Qwen3-235B-A22B-Instruct-2507 is 6 months newer than Phi-4-multimodal-instruct.

Phi-4-multimodal-instruct

Feb 1, 2025

1.2 years ago

Qwen3-235B-A22B-Instruct-2507

Jul 22, 2025

9 months ago

5mo newer

Knowledge Cutoff

When training data ends

Phi-4-multimodal-instruct has a documented knowledge cutoff of 2024-06-01, while Qwen3-235B-A22B-Instruct-2507'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 Qwen3-235B-A22B-Instruct-2507's cutoff date.

Phi-4-multimodal-instruct

Jun 2024

Qwen3-235B-A22B-Instruct-2507

—

Provider Availability

Phi-4-multimodal-instruct is available from DeepInfra. Qwen3-235B-A22B-Instruct-2507 is available from Fireworks, Novita.

Phi-4-multimodal-instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.10/1M

Qwen3-235B-A22B-Instruct-2507

fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Microsoft
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Microsoft
Phi-4-multimodal-instruct
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507

FAQ

Common questions about Phi-4-multimodal-instruct vs Qwen3-235B-A22B-Instruct-2507

Phi-4-multimodal-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.
Phi-4-multimodal-instruct scores ScienceQA Visual: 97.5%, DocVQA: 93.2%, MMBench: 86.7%, POPE: 85.6%, OCRBench: 84.4%. 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%.
Phi-4-multimodal-instruct is 3.0x cheaper for input tokens. Phi-4-multimodal-instruct costs $0.05/M input and $0.10/M output via deepinfra. Qwen3-235B-A22B-Instruct-2507 costs $0.15/M input and $0.80/M output via fireworks.
Phi-4-multimodal-instruct supports 128K 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.
Key differences include context window (128K vs 262K), input pricing ($0.05 vs $0.15/M), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Phi-4-multimodal-instruct is developed by Microsoft and Qwen3-235B-A22B-Instruct-2507 is developed by Alibaba Cloud / Qwen Team.