+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT OSS 120B vs Phi-3.5-mini-instruct
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 35.3% higher average benchmark score. GPT OSS 120B offers 6.1K more tokens in context window than Phi-3.5-mini-instruct. Both models have similar pricing. GPT OSS 120B is available on 5 providers. Overall, GPT OSS 120B is the stronger choice for coding tasks.
+
+
+
+
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.
+
+
+
+
Microsoft
Phi-3.5 Mini was developed by Microsoft as a small language model designed to deliver impressive performance despite its compact size. Built with efficiency in mind, it demonstrates that capable language understanding and generation can be achieved with fewer parameters, making AI more accessible for edge and resource-constrained deployments.
11 months newer
Phi-3.5-mini-instruct
Microsoft
2024-08-23
GPT OSS 120B
OpenAI
2025-08-05
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GPT OSS 120B
Input:$0.09
Output:$0.45
+
+
+
+
Phi-3.5-mini-instruct
Input:$0.10
Output:$0.10($0.34 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
GPT OSS 120B
Average Score:85.0%(+35.3%)
+
+
+
+
Phi-3.5-mini-instruct
Average Score:49.7%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
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
+
+
+
+
+
GPT OSS 120B
Avg Score:85.0%(+35.3%)
Providers:5
+
+
+
+
Phi-3.5-mini-instruct
Avg Score:49.7%
Providers:1