+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
GPT OSS 20B vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
GPT OSS 20B leads with 19.1% higher average benchmark score. GPT OSS 20B 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 20B is available on 4 providers. Overall, GPT OSS 20B is the stronger choice for coding tasks.
+
+
+
+
OpenAI
GPT-OSS 20B was created as a smaller open-source variant, designed to balance capability with accessibility for researchers and developers. Built with 20 billion parameters, it provides a more approachable entry point for those seeking to work with open-source language models while benefiting from OpenAI's architectural insights.
+
+
+
+
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 20B
OpenAI
2025-08-05
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
GPT OSS 20B
Input:$0.05
Output:$0.20($0.15 cheaper)
+
+
+
+
Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
GPT OSS 20B
Average Score:78.4%(+19.1%)
+
+
+
+
Mistral Small 3.1 24B Base
Average Score:59.3%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
GPT OSS 20B
4 providers
Groq
Throughput: 1000 tok/s
Latency: 0.38ms
Novita
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
ZeroEval
Throughput: 1000 tok/s
Latency: 0.38ms
+
+
+
+
+
+
GPT OSS 20B
Avg Score:78.4%(+19.1%)
Providers:4
+
+
+
+
Mistral Small 3.1 24B Base
Avg Score:59.3%
Providers:1