A scrappy, low-cost coding model worth benchmarking for high-volume pipelines, but output pricing limits its ceiling.
High-volume, low-latency coding tasks where cost per token matters more than peak quality.
Exceptionally low input cost at $0.20/1M tokens, undercutting most competitors in the budget coding space
256K context window is generous for a budget model, enabling full codebase ingestion
Optimized inference speed makes it suitable for real-time code completion pipelines
Coding-specialized focus means less dilution from generalist training objectives
Output cost of $1.50/1M tokens is relatively high for a 'fast' budget model compared to GPT-4.1 Mini or Gemini 2.0 Flash
See what xAI: Grok Code Fast 1 actually costs at your usage level
Based on xAI: Grok Code Fast 1 API pricing: $0.19999999999999998/1M input · $1.5/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
Price History
→0% since May 9
4 data points · tracked daily since May 9, 2026
High-volume, low-latency coding tasks where cost per token matters more than peak quality.. Start free — no card required.
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Similar models worth checking before you commit.
Claude 3 Haiku is Anthropic's fastest and most affordable Claude 3 model, designed for high-throughput tasks where speed and cost efficiency matter more than peak intelligence. It delivers surprisingly capable responses for a budget tier model, with a generous 200K context window.
Pricing moves, ranking shifts, and capability updates.
xAI: Grok Code Fast 1 (xAI) is now indexed. A scrappy, low-cost coding model worth benchmarking for high-volume pipelines, but output pricing limits its ceiling.
View modelxAI: Grok Code Fast 1 is best for high-volume, low-latency coding tasks where cost per token matters more than peak quality.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
You need high-quality prose generation, complex multi-step reasoning, or image understanding — this model is narrow-purpose and will underperform outside of coding tasks.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
Anthropic: Claude 3 Haiku is the better pick when response time matters more than maximum depth or premium quality.
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You need high-quality prose generation, complex multi-step reasoning, or image understanding — this model is narrow-purpose and will underperform outside of coding tasks.
Limited to coding use cases — poor choice for nuanced writing, deep reasoning, or multimodal tasks
Newer and less battle-tested than established budget coding models from OpenAI or Anthropic
Claude 3.5 Haiku is Anthropic's fastest and most affordable model in the Claude 3.5 family, designed for high-throughput tasks requiring quick responses without sacrificing Claude's core instruction-following quality. It handles a massive 200K context window while maintaining speed suitable for production pipelines.
Claude Haiku 4.5 is Anthropic's latest lightweight model in the Claude 4 family, optimized for speed and cost-efficiency while retaining strong instruction-following and reasoning capabilities. It supersedes Claude 4 Haiku with improved performance across coding, summarization, and conversational tasks.
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