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Llama 3.2 90B Instruct vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 21.7% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 131.1K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $2.55 cheaper per million tokens. Llama 3.2 90B Instruct supports multimodal inputs. Llama 3.2 90B Instruct is available on 5 providers. Overall, Qwen3-235B-A22B-Thinking-2507 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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Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
10 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40($2.55 cheaper)
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00
Performance Metrics
Context window and performance specifications
Average performance across 37 common benchmarks
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Llama 3.2 90B Instruct
Average Score:25.0%
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Qwen3-235B-A22B-Thinking-2507
Average Score:46.8%(+21.7%)
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:25.0%
Providers:5
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Qwen3-235B-A22B-Thinking-2507
Avg Score:46.8%(+21.7%)
Providers:1