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Phi 4 vs Pixtral Large
Comprehensive side-by-side LLM comparison
Pixtral Large offers 224.0K more tokens in context window than Phi 4. Phi 4 is $7.79 cheaper per million tokens. Pixtral Large supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Microsoft
Phi-4 was introduced as the fourth generation of Microsoft's small language model series, designed to push the boundaries of what compact models can achieve. Built with advanced training techniques and architectural improvements, it demonstrates continued progress in efficient, high-quality language models.
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Mistral AI
Pixtral Large was developed as a larger-scale multimodal model, designed to provide advanced vision-language understanding capabilities. Built to handle complex tasks requiring sophisticated analysis of visual and textual information, it represents Mistral's flagship offering for multimodal applications.
24 days newer
Pixtral Large
Mistral AI
2024-11-18
Phi 4
Microsoft
2024-12-12
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Pricing Comparison
Cost per million tokens (USD)
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Phi 4
Input:$0.07
Output:$0.14($7.79 cheaper)
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Pixtral Large
Input:$2.00
Output:$6.00
Performance Metrics
Context window and performance specifications
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Knowledge Cutoff
Training data recency comparison
Phi 4
2024-06-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi 4
1 providers
DeepInfra
Throughput: 33 tok/s
Latency: 0.2ms
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Pixtral Large
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Phi 4
Avg Score:0.0%
Providers:1
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Pixtral Large
Avg Score:0.0%
Providers:1