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Llama 3.2 90B Instruct vs Mistral Small 3 24B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 18.6% higher average benchmark score. Llama 3.2 90B Instruct offers 192.0K more tokens in context window than Mistral Small 3 24B Instruct. Mistral Small 3 24B Instruct is $0.54 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.
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Meta
Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Meta's latest advancement in AI technology.
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Mistral AI
Mistral Small 3 24B Instruct is a language model developed by Mistral AI. It achieves strong performance with an average score of 71.7% across 8 benchmarks. It excels particularly in Arena Hard (87.6%), HumanEval (84.8%), MT-Bench (83.5%). The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Mistral AI's latest advancement in AI technology.
4 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Mistral Small 3 24B Instruct
Mistral AI
2025-01-30
Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40
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Mistral Small 3 24B Instruct
Input:$0.07
Output:$0.14($0.54 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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Llama 3.2 90B Instruct
Average Score:48.8%(+18.6%)
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Mistral Small 3 24B Instruct
Average Score:30.2%
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Knowledge Cutoff
Training data recency comparison
Mistral Small 3 24B Instruct
2023-10-01
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 3.2 90B Instruct
5 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 24 tok/s
Latency: 0.5ms
Fireworks
Throughput: 50 tok/s
Latency: 0.5ms
Hyperbolic
Throughput: 42 tok/s
Latency: 0.5ms
Together
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Llama 3.2 90B Instruct
Avg Score:48.8%(+18.6%)
Providers:5
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Mistral Small 3 24B Instruct
Avg Score:30.2%
Providers:2