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Mistral Large 2 vs QvQ-72B-Preview
Comprehensive side-by-side LLM comparison
Mistral Large 2 leads with 26.7% higher average benchmark score. QvQ-72B-Preview supports multimodal inputs. Mistral Large 2 is available on 2 providers. Overall, Mistral Large 2 is the stronger choice for coding tasks.
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Mistral AI
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QvQ-72B-Preview is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 4 benchmarks. Notable strengths include MathVista (71.4%), MMMU (70.3%), MathVision (35.9%). 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.
5 months newer
Mistral Large 2
Mistral AI
2024-07-24
QvQ-72B-Preview
Alibaba Cloud / Qwen Team
2024-12-25
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Mistral Large 2
Average Score:48.7%(+26.7%)
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QvQ-72B-Preview
Average Score:22.0%
Provider Availability & Performance
Available providers and their performance metrics
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Mistral Large 2
2 providers
Throughput: 42 tok/s
Latency: 0.4ms
Mistral AI
Throughput: 0.1 tok/s
Latency: 0.5ms
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Mistral Large 2
Avg Score:48.7%(+26.7%)
Providers:2
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QvQ-72B-Preview
Avg Score:22.0%
Providers:0