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Llama 3.1 70B Instruct vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 15.6% higher average benchmark score. Both models have similar pricing. Llama 3.1 70B Instruct is available on 9 providers. Overall, Llama 3.1 70B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
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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.
5 days newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
Llama 3.1 70B Instruct
Meta
2024-07-23
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.1 70B Instruct
Input:$0.20
Output:$0.20
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Mistral NeMo Instruct
Input:$0.15
Output:$0.15($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Llama 3.1 70B Instruct
Average Score:83.6%(+15.6%)
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Mistral NeMo Instruct
Average Score:68.0%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 70B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 1204 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 25 tok/s
Latency: 0.5ms
Fireworks
Throughput: 32 tok/s
Latency: 0.5ms
Groq
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Llama 3.1 70B Instruct
Avg Score:83.6%(+15.6%)
Providers:9
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Mistral NeMo Instruct
Avg Score:68.0%
Providers:2