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GPT OSS 120B vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
GPT OSS 120B leads with 22.0% higher average benchmark score. GPT OSS 120B offers 6.1K more tokens in context window than Mistral NeMo 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.
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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.
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Mistral AI
Mistral Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
1 year newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
GPT OSS 120B
OpenAI
2025-08-05
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Pricing Comparison
Cost per million tokens (USD)
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GPT OSS 120B
Input:$0.09
Output:$0.45
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Mistral NeMo Instruct
Input:$0.15
Output:$0.15($0.24 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT OSS 120B
Average Score:90.0%(+22.0%)
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Mistral NeMo Instruct
Average Score:68.0%
Provider Availability & Performance
Available providers and their performance metrics
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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
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GPT OSS 120B
Avg Score:90.0%(+22.0%)
Providers:5
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Mistral NeMo Instruct
Avg Score:68.0%
Providers:2