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Mistral Large 2 vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Qwen2-VL-72B-Instruct leads with 34.9% higher average benchmark score. Qwen2-VL-72B-Instruct supports multimodal inputs. Mistral Large 2 is available on 2 providers. Overall, Qwen2-VL-72B-Instruct 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
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
Mistral Large 2
Mistral AI
2024-07-24
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Performance Metrics
Context window and performance specifications
Average performance across 20 common benchmarks
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Mistral Large 2
Average Score:21.9%
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Qwen2-VL-72B-Instruct
Average Score:56.8%(+34.9%)
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
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:21.9%
Providers:2
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Qwen2-VL-72B-Instruct
Avg Score:56.8%(+34.9%)
Providers:0