Comprehensive side-by-side LLM comparison
Phi-4-multimodal-instruct leads with 32.5% higher average benchmark score. 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. Overall, Phi-4-multimodal-instruct is the stronger choice for coding tasks.
OpenAI
GPT OSS 20B is a language model developed by OpenAI. The model shows competitive results across 7 benchmarks. It excels particularly in MMLU (85.3%), CodeForces (83.9%), GPQA (71.5%). It supports a 262K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents OpenAI's latest advancement in AI technology.
Microsoft
Phi-4-multimodal-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 72.0% across 15 benchmarks. It excels particularly in ScienceQA Visual (97.5%), DocVQA (93.2%), MMBench (86.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.
6 months newer
Phi-4-multimodal-instruct
Microsoft
2025-02-01
GPT OSS 20B
OpenAI
2025-08-05
Cost per million tokens (USD)
GPT OSS 20B
Phi-4-multimodal-instruct
Context window and performance specifications
Average performance across 22 common benchmarks
GPT OSS 20B
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
2024-06-01
Available providers and their performance metrics
GPT OSS 20B
Groq
Novita
OpenAI
ZeroEval
GPT OSS 20B
Phi-4-multimodal-instruct
GPT OSS 20B
Phi-4-multimodal-instruct
Phi-4-multimodal-instruct
DeepInfra