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GPT-5 nano vs Grok Code Fast 1
Comprehensive side-by-side LLM comparison
GPT-5 nano offers 262.0K more tokens in context window than Grok Code Fast 1. GPT-5 nano is $1.25 cheaper per million tokens. GPT-5 nano supports multimodal inputs. 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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xAI
Grok Code Fast was developed as a specialized coding model optimized for speed, designed to provide rapid code completion, generation, and assistance. Built to serve developers requiring quick feedback and iterative coding support, it combines programming expertise with low-latency responses.
21 days newer
GPT-5 nano
OpenAI
2025-08-07
Grok Code Fast 1
xAI
2025-08-28
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 nano
Input:$0.05
Output:$0.40($1.25 cheaper)
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Grok Code Fast 1
Input:$0.20
Output:$1.50
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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Grok Code Fast 1
Avg Score:0.0%
Providers:1