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Phi-4-multimodal-instruct vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 offers 131.1K more tokens in context window than Phi-4-multimodal-instruct. Phi-4-multimodal-instruct is $3.15 cheaper per million tokens. Phi-4-multimodal-instruct supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi-4 Multimodal was created to handle multiple input modalities including text, images, and potentially other formats. Built to extend Phi-4's efficiency into multimodal applications, it demonstrates that compact models can successfully integrate diverse information types.
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Alibaba Cloud / Qwen Team
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
5 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
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Pricing Comparison
Cost per million tokens (USD)
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($3.15 cheaper)
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Phi-4-multimodal-instruct
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi-4-multimodal-instruct
1 providers
DeepInfra
Throughput: 25 tok/s
Latency: 0.5ms
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Qwen3-235B-A22B-Thinking-2507
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Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1
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Qwen3-235B-A22B-Thinking-2507
Avg Score:0.0%
Providers:1