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Grok-1.5 vs Pixtral Large
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Pixtral Large supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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xAI
Grok-1.5 is a language model developed by xAI. It achieves strong performance with an average score of 63.9% across 9 benchmarks. It excels particularly in GSM8k (90.0%), DocVQA (85.6%), MMLU (81.3%). Released in 2024, it represents xAI's latest advancement in AI technology.
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Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
7 months newer
Grok-1.5
xAI
2024-03-28
Pixtral Large
Mistral AI
2024-11-18
Performance Metrics
Context window and performance specifications
Average performance across 13 common benchmarks
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Grok-1.5
Average Score:44.2%(+0.9%)
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Pixtral Large
Average Score:43.3%
Provider Availability & Performance
Available providers and their performance metrics
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Grok-1.5
0 providers
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Pixtral Large
1 providers
Mistral AI
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Grok-1.5
Avg Score:44.2%(+0.9%)
Providers:0
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Pixtral Large
Avg Score:43.3%
Providers:1