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Llama 3.1 70B Instruct vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 16.4% higher average benchmark score. Llama 3.1 70B Instruct offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. Pixtral-12B supports multimodal inputs. 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
Pixtral 12B was introduced as Mistral's multimodal vision-language model, designed to understand and reason about both images and text. Built with 12 billion parameters for integrated visual and textual processing, it extends Mistral's capabilities into multimodal applications.
1 month newer
Llama 3.1 70B Instruct
Meta
2024-07-23
Pixtral-12B
Mistral AI
2024-09-17
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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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Pixtral-12B
Input:$0.15
Output:$0.15($0.10 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 3.1 70B Instruct
Average Score:83.9%(+16.4%)
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Pixtral-12B
Average Score:67.5%
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:83.9%(+16.4%)
Providers:9
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Pixtral-12B
Avg Score:67.5%
Providers:1