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Llama 3.2 90B Instruct vs Qwen3 235B A22B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Qwen3 235B A22B is $0.55 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. 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
Qwen3 235B was developed as a large-scale model with 235 billion total parameters using a mixture-of-experts architecture activating 22 billion parameters. Built to provide frontier capabilities with computational efficiency through sparse activation, it represents Qwen's advancement into very large-scale model development.
7 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
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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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Qwen3 235B A22B
Input:$0.10
Output:$0.10($0.55 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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Llama 3.2 90B Instruct
Average Score:71.9%
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Qwen3 235B A22B
Average Score:72.7%(+0.8%)
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:71.9%
Providers:5
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Qwen3 235B A22B
Avg Score:72.7%(+0.8%)
Providers:4