Comprehensive side-by-side LLM comparison
Phi-3.5-mini-instruct leads with 40.4% higher average benchmark score. GPT OSS 20B offers 6.1K more tokens in context window than Phi-3.5-mini-instruct. Both models have similar pricing. GPT OSS 20B is available on 4 providers. Overall, Phi-3.5-mini-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-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
11 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
GPT OSS 20B
OpenAI
2025-08-05
Cost per million tokens (USD)
GPT OSS 20B
Phi-3.5-mini-instruct
Context window and performance specifications
Average performance across 36 common benchmarks
GPT OSS 20B
Phi-3.5-mini-instruct
Available providers and their performance metrics
GPT OSS 20B
Groq
Novita
OpenAI
ZeroEval
GPT OSS 20B
Phi-3.5-mini-instruct
GPT OSS 20B
Phi-3.5-mini-instruct
Phi-3.5-mini-instruct
Azure