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GPT OSS 120B vs Phi-4-multimodal-instruct
Comprehensive side-by-side LLM comparison
GPT OSS 120B 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 120B is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-OSS 120B was developed as an open-source model release from OpenAI, designed to provide the research and developer community with access to a capable language model. Built with 120 billion parameters, it enables experimentation, fine-tuning, and deployment in contexts where open-source licensing and transparency are valued.
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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 120B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 120B
Input:$0.09
Output:$0.45
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Phi-4-multimodal-instruct
Input:$0.05
Output:$0.10($0.39 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 120B
5 providers
DeepInfra
Groq
Throughput: 500 tok/s
Latency: 0.5ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.5ms
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GPT OSS 120B
Avg Score:0.0%
Providers:5
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Phi-4-multimodal-instruct
Avg Score:0.0%
Providers:1