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GPT OSS 20B vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
GPT OSS 20B offers 6.1K more tokens in context window than Phi-4-multimodal-instruct. Both models have similar pricing. Phi-4-multimodal-instruct supports multimodal inputs. GPT OSS 20B is available on 4 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
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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.
6 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
GPT OSS 20B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 20B
Input:$0.05
Output:$0.20
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($0.10 cheaper)
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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GPT OSS 20B
4 providers
Groq
Throughput: 1000 tok/s
Latency: 0.38ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 1000 tok/s
Latency: 0.38ms
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GPT OSS 20B
Avg Score:0.0%
Providers:4
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Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1