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Llama 3.2 11B Instruct vs Qwen3-235B-A22B-Instruct-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 31.5% higher average benchmark score. Llama 3.2 11B Instruct offers 108.5K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Llama 3.2 11B Instruct is $0.85 cheaper per million tokens. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
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Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It supports a 147K 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 11B Instruct
Meta
2024-09-25
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Pricing Comparison
Cost per million tokens (USD)
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Llama 3.2 11B Instruct
Input:$0.05
Output:$0.05($0.85 cheaper)
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Qwen3-235B-A22B-Instruct-2507
Input:$0.15
Output:$0.80
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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Llama 3.2 11B Instruct
Average Score:20.0%
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Qwen3-235B-A22B-Instruct-2507
Average Score:51.5%(+31.5%)
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Knowledge Cutoff
Training data recency comparison
Llama 3.2 11B 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 3.2 11B Instruct
6 providers
Bedrock
Throughput: 100 tok/s
Latency: 0.5ms
DeepInfra
Throughput: 108 tok/s
Latency: 0.5ms
Fireworks
Throughput: 125 tok/s
Latency: 0.2ms
Groq
Throughput: 100 tok/s
Latency: 0.5ms
Sambanova
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Llama 3.2 11B Instruct
Avg Score:20.0%
Providers:6
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Qwen3-235B-A22B-Instruct-2507
Avg Score:51.5%(+31.5%)
Providers:1