A scrappy, low-cost coding model worth benchmarking for high-volume pipelines, but output pricing limits its ceiling.
72
Coding
28
Writing
35
Research
0
Images
78
Value
65
Long Context
Use this when
High-volume, low-latency coding tasks where cost per token matters more than peak quality.
Skip this if
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.
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
Weaknesses
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
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
Monthly cost estimate
See what xAI: Grok Code Fast 1 actually costs at your usage level
Input tokens / month1M
10k50M
Output tokens / month500k
10k25M
Input cost
$0.200
Output cost
$0.750
Total / month
$0.950
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
xAI: Grok Code Fast 1 pricing over time
→0% since Mar 27
2 data points · tracked daily since Mar 27, 2026
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Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.
Compare alternatives
Similar models worth checking before you commit.
AnthropicBudget
Anthropic: Claude 3 Haiku
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.
Verdict
A capable budget workhorse, but Claude 3.5 Haiku has made it mostly obsolete for new deployments.
Quality score
53%
Pricing
$0.25/1M in
$1.25/1M out
Speed
Very fast
Best for high-volume production pipelines, customer support bots, and real-time text processing where cost and latency are critical constraints.
Context
200k tokens
Claude 3 Haiku is part of the original Claude 3 family (March 2024). Anthropic has since released Claude 3.5 Haiku, which is generally recommended over this model for new use cases. Still widely available via Anthropic API and AWS Bedrock.
BudgetFastHigh VolumeLong ContextProduction
Best for
High-volume production pipelines, customer support bots, and real-time text processing where cost and latency are critical constraints.
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.
Verdict
The fastest way to get Claude's quality in production — just don't confuse 'fast' with 'cheap'.
Quality score
64%
Pricing
$0.80/1M in
$4.00/1M out
Speed
Very fast
Best for high-volume, latency-sensitive applications like chatbots, classification, data extraction, and agentic tool use where speed and cost matter more than peak reasoning depth.
Context
200k tokens
Output cost of $4/1M is notably higher than competing fast/mini models. Input cost at ~$0.80/1M is competitive. Best value emerges in input-heavy pipelines like document classification or RAG retrieval where output tokens are minimal.
High-volume, latency-sensitive applications like chatbots, classification, data extraction, and agentic tool use where speed and cost matter more than peak reasoning depth.
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.
Verdict
The best balance of speed, context length, and cost in Anthropic's lineup for production-scale deployments.
Quality score
68%
Pricing
$1.00/1M in
$5.00/1M out
Speed
Very fast
Best for high-volume production pipelines and real-time applications that need claude-quality output without flagship-model costs.
Context
200k tokens
Priced at $1/1M input and $5/1M output tokens, placing it above true budget models like Gemini Flash but below mid-tier flagships. Confirm availability of extended thinking or tool-use features via Anthropic's API documentation, as Haiku-tier models sometimes receive these capabilities later than Sonnet/Opus.
Pricing moves, ranking shifts, and capability updates.
New ModelMar 27, 2026
xAI: Grok Code Fast 1 — added to UseRightAI
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.
xAI: 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.
When should I avoid xAI: Grok Code Fast 1?
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.
What is a cheaper alternative to xAI: Grok Code Fast 1?
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.
What is a faster alternative to xAI: Grok Code Fast 1?
Anthropic: Claude 3 Haiku is the better pick when response time matters more than maximum depth or premium quality.
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