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Llama 3.1 405B Instruct vs Mistral Small 3.1 24B Base
Comprehensive side-by-side LLM comparison
Llama 3.1 405B Instruct leads with 12.3% higher average benchmark score. Mistral Small 3.1 24B Base is $1.38 cheaper per million tokens. Mistral Small 3.1 24B Base supports multimodal inputs. Llama 3.1 405B Instruct is available on 8 providers. Overall, Llama 3.1 405B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.1 405B was developed as Meta's largest open-source language model, designed to provide frontier-level capabilities with 405 billion parameters. Built to demonstrate that open-source models can match proprietary systems in capability, it enables researchers and developers to experiment with and deploy a powerful foundation model without licensing restrictions.
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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.
7 months newer
Llama 3.1 405B Instruct
Meta
2024-07-23
Mistral Small 3.1 24B Base
Mistral AI
2025-03-17
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Pricing Comparison
Cost per million tokens (USD)
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Llama 3.1 405B Instruct
Input:$0.89
Output:$0.89
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Mistral Small 3.1 24B Base
Input:$0.10
Output:$0.30($1.38 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 3.1 405B Instruct
Average Score:70.4%(+12.3%)
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Mistral Small 3.1 24B Base
Average Score:58.2%
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 405B Instruct
8 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 27 tok/s
Latency: 0.5ms
Fireworks
Throughput: 78 tok/s
Latency: 0.5ms
Throughput: 42 tok/s
Latency: 0.4ms
Hyperbolic
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Llama 3.1 405B Instruct
Avg Score:70.4%(+12.3%)
Providers:8
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Mistral Small 3.1 24B Base
Avg Score:58.2%
Providers:1