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GPT-5 nano vs Pixtral Large
Comprehensive side-by-side LLM comparison
GPT-5 nano offers 272.0K more tokens in context window than Pixtral Large. GPT-5 nano is $7.55 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 Nano was developed as the most compact variant in the GPT-5 family, designed for deployment in resource-constrained environments and edge computing scenarios. Built to bring next-generation AI capabilities to devices and applications where latency and efficiency are paramount, it distills GPT-5 innovations into a minimal footprint.
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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.
8 months newer
Pixtral Large
Mistral AI
2024-11-18
GPT-5 nano
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 nano
Input:$0.05
Output:$0.40($7.55 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
GPT-5 nano
2024-05-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 nano
2 providers
OpenAI
Throughput: 500 tok/s
Latency: 0.3ms
ZeroEval
Throughput: 500 tok/s
Latency: 0.3ms
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GPT-5 nano
Avg Score:0.0%
Providers:2
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Pixtral Large
Avg Score:0.0%
Providers:1