+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT OSS 120B vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 25.8% higher average benchmark score. GPT OSS 120B offers 6.1K more tokens in context window than Mistral Small 3.1 24B Base. Both models have similar pricing. Mistral Small 3.1 24B Base supports multimodal inputs. 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.
+
+
+
+
Mistral AI
Mistral Small 3.1 24B Base represents an updated iteration of the 24B foundation model, developed with architectural refinements and improved training. Built to provide enhanced base capabilities for fine-tuning, it incorporates learnings from previous versions for better downstream performance.
4 months newer
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
GPT OSS 120B
OpenAI
2025-08-05
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GPT OSS 120B
Input:$0.09
Output:$0.45
+
+
+
+
Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($0.14 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
GPT OSS 120B
Average Score:85.0%(+25.8%)
+
+
+
+
Mistral Small 3.1 24B Base
Average Score:59.3%
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%(+25.8%)
Providers:5
+
+
+
+
Mistral Small 3.1 24B Base
Avg Score:59.3%
Providers:1