Grok Code Fast 1
Provider
x-ai
Bracket
value
Benchmark
Usable (2.33/3)
Context
256K tokens
Input Price
$0.20/MTok
Output Price
$1.50/MTok
Model ID
grok-code-fast-1
Grok Code Fast 1 is x-ai’s aggressive play to undercut the code-focused LLM market by offering near-flagship performance at a fraction of the cost. While most providers reserve their best models for premium tiers, x-ai dropped a 314B-parameter MoE model into their value bracket—a move that forces competitors to justify charging 5-10x more for incremental gains. The numbers back it up: its 70.8% SWE-Bench score sits just 5-7 points behind models like DeepSeek Coder V2 and CodeLlama 70B, which cost significantly more per token. This isn’t a stripped-down student model or a distillate. It’s a full-scale architecture optimized for raw throughput, and it shows in benchmarks where it trades blows with models twice its listed price.
What makes Grok Code Fast 1 genuinely disruptive isn’t just its price-to-performance ratio but its distribution strategy. x-ai cut deals to embed it for free in Copilot, Cursor, and Windsurf, meaning many developers are already using it without realizing they’ve switched from GPT-4 or Claude. That’s not charity—it’s a land grab. By seeding the market with a capable, no-cost option, x-ai is conditioning developers to expect more for less while quietly gathering telemetry to refine its next iteration. The 256K context window is overkill for most coding tasks, but it signals x-ai’s intent: this model isn’t just for autocomplete or linting. It’s built for full-repo analysis, and the free tier makes it the default choice for experimenting with larger codebases without worrying about token costs.
The catch—because there’s always a catch—is that Grok Code Fast 1 feels like a calculated risk. x-ai skipped third-party benchmarking, so its SWE-Bench score is self-reported, and real-world latency varies wildly depending on the integration. In Copilot, it’s snappy. In standalone API calls, it can lag behind smaller, fine-tuned models. But that’s the tradeoff for a 314B MoE crammed into a budget tier. If you’re evaluating it purely as a paid API, the math gets fuzzy. If you’re using it where it’s free, the decision is already made for you. This model doesn’t just punch above its weight. It redefines what “value” means in code LLMs by making the competition look overpriced.
How Much Does Grok Code Fast 1 Cost?
Grok Code Fast 1 isn’t just the cheapest model in its bracket—it’s the only one. At $0.20/MTok input and $1.50/MTok output, it undercuts every other fast code-focused LLM by a wide margin, including Mistral’s entry-level offerings. For context, a balanced 10M-token workload (5M input, 5M output) runs about $9 monthly, which is less than half the cost of running Mistral Small 4 for the same volume. That’s not a small difference. If you’re processing code at scale, this pricing turns Grok from an experiment into a default choice for cost-sensitive pipelines.
But here’s the catch: cheaper doesn’t always mean better value. Mistral Small 4, at $0.60/MTok output, is only 2.5x more expensive but delivers *Strong*-grade performance where Grok sits in *Value*. If your task demands higher accuracy—like generating production-ready functions or debugging complex logic—the extra $12/month for Mistral is a no-brainer tradeoff. Grok’s real sweet spot is high-volume, low-stakes workflows: linting, simple refactors, or batch documentation where raw speed and cost matter more than perfection. For everything else, the math flips. Test both, but budget for the upgrade.
Should You Use Grok Code Fast 1?
Grok Code Fast 1 is a gamble worth taking if you’re building agentic workflows in TypeScript, Python, or Rust and need a model that prioritizes raw speed over polished output. At $0.20 per million input tokens and $1.50 per million output tokens, it undercuts Claude 3 Haiku by 20% while promising lower latency—a critical edge for iterative coding tasks like real-time refactoring or chained agent operations. Early adopters report it excels at generating boilerplate, parsing complex type hierarchies, and suggesting Rust trait implementations with minimal hallucinations. If you’re prototyping a multi-agent system where response time directly impacts cost (e.g., GitHub Actions automation or CI/CD script generation), this is the only model in its price bracket that justifies a trial run.
Avoid it for production-grade code review or documentation. Untested benchmarks mean you’re flying blind on correctness for edge cases, and the trade-offs for speed are obvious: it lacks the nuanced error handling of DeepSeek Coder V2 or the battle-tested reliability of GPT-4 Turbo for large-scale refactors. Developers needing guaranteed accuracy—like those working on financial systems or low-level memory-safe Rust—should stick with proven alternatives. But if you’re willing to trade occasional rough edges for aggressive cost efficiency in agentic loops, Grok Code Fast 1 is the most interesting wild card in the value tier right now. Test it on non-critical paths first.
Frequently Asked Questions
How much does it cost to use Grok Code Fast 1?
Grok Code Fast 1 costs $0.20 per million tokens for input and $1.50 per million tokens for output. This pricing model makes it a cost-effective option for certain applications, though you should compare it to other models based on your specific use case.
What is the context window size for Grok Code Fast 1?
Grok Code Fast 1 supports a context window of 256K tokens. This allows for processing of relatively large documents or extended conversations without needing to truncate or chunk the input.
Has Grok Code Fast 1 been tested and graded on ModelPicker?
As of now, Grok Code Fast 1 has not yet been tested or graded on ModelPicker. This means there are no benchmark scores or comparative analysis available for this model at the moment.
Who provides Grok Code Fast 1 and what are its known quirks?
Grok Code Fast 1 is provided by x-ai. Currently, there are no known quirks reported for this model, which suggests it may offer a straightforward and reliable user experience.
How does Grok Code Fast 1 compare to its peers?
Grok Code Fast 1 does not yet have bracket peers on ModelPicker, meaning it hasn't been directly compared to other models in its category. You should evaluate it based on your specific needs and consider its untested status.