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Phi-4-multimodal-instruct vs Qwen3-Next-80B-A3B-Thinking
Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct offers 124.9K more tokens in context window than Qwen3-Next-80B-A3B-Thinking. Phi-4-multimodal-instruct is $1.50 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-Next 80B Thinking was created as a reasoning-enhanced variant, designed to incorporate extended analytical capabilities into the Qwen3-Next architecture. Built to handle complex problem-solving with mixture-of-experts efficiency, it serves applications requiring both deep reasoning and computational practicality.
7 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
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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($1.50 cheaper)
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Qwen3-Next-80B-A3B-Thinking
Input:$0.15
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-Next-80B-A3B-Thinking
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Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1
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Qwen3-Next-80B-A3B-Thinking
Avg Score:0.0%
Providers:1