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Llama 3.2 90B Instruct vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Llama 3.2 90B Instruct leads with 1.4% higher average benchmark score. Llama 3.2 90B Instruct offers 116.7K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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Meta
Llama 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
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Alibaba Cloud / Qwen Team
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
6 days newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Llama 3.2 90B Instruct
Meta
2024-09-25
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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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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($0.15 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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Llama 3.2 90B Instruct
Average Score:57.4%(+1.4%)
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Qwen2.5 7B Instruct
Average Score:56.0%
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:57.4%(+1.4%)
Providers:5
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Qwen2.5 7B Instruct
Avg Score:56.0%
Providers:1