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Llama 3.1 8B Instruct vs Pixtral-12B
Comprehensive side-by-side LLM comparison
Llama 3.1 8B Instruct leads with 6.6% higher average benchmark score. Llama 3.1 8B Instruct offers 126.0K more tokens in context window than Pixtral-12B. Both models have similar pricing. Pixtral-12B supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Llama 3.1 8B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
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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 8B 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 8B Instruct
Input:$0.03
Output:$0.03($0.24 cheaper)
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Pixtral-12B
Input:$0.15
Output:$0.15
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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Llama 3.1 8B Instruct
Average Score:74.1%(+6.6%)
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Pixtral-12B
Average Score:67.5%
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Knowledge Cutoff
Training data recency comparison
Llama 3.1 8B Instruct
2023-12-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Llama 3.1 8B Instruct
9 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
Cerebras
Throughput: 2047 tok/s
Latency: 0.2ms
DeepInfra
Throughput: 118 tok/s
Latency: 0.5ms
Fireworks
Throughput: 292 tok/s
Latency: 0.5ms
Groq
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Llama 3.1 8B Instruct
Avg Score:74.1%(+6.6%)
Providers:9
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Pixtral-12B
Avg Score:67.5%
Providers:1