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Grok Code Fast 1 vs Llama 4 Scout 17B Instruct

Grok Code Fast 1 (2025) and Llama 4 Scout 17B Instruct (2026) are agentic coding models from xAI and AI at Meta. Grok Code Fast 1 ships a 262K-token context window, while Llama 4 Scout 17B Instruct ships a not-yet-sourced context window. On pricing, Llama 4 Scout 17B Instruct costs $0.17/1M input tokens versus $0.2/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Llama 4 Scout 17B Instruct is safer overall; choose Grok Code Fast 1 when coding workflow support matters.

Specs

Specification
Released2025-08-272026-01-01
Context window262K
Parameters314B
Architecturemixture of experts-
LicenseProprietaryProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeGrok Code Fast 1Llama 4 Scout 17B Instruct
Input price$0.2/1M tokens$0.17/1M tokens
Output price$1.5/1M tokens$0.66/1M tokens
Providers

Capabilities

CapabilityGrok Code Fast 1Llama 4 Scout 17B Instruct
VisionNoNo
MultimodalNoYes
ReasoningNoNo
Function callingYesNo
Tool useYesNo
Structured outputsYesYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on multimodal input: Llama 4 Scout 17B Instruct, function calling: Grok Code Fast 1, and tool use: Grok Code Fast 1. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

For cost, Grok Code Fast 1 lists $0.2/1M input and $1.5/1M output tokens, while Llama 4 Scout 17B Instruct lists $0.17/1M input and $0.66/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 4 Scout 17B Instruct lower by about $0.27 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose Grok Code Fast 1 when coding workflow support are central to the workload. Choose Llama 4 Scout 17B Instruct when provider fit and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions.

FAQ

Which is cheaper, Grok Code Fast 1 or Llama 4 Scout 17B Instruct?

Llama 4 Scout 17B Instruct is cheaper on tracked token pricing. Grok Code Fast 1 costs $0.2/1M input and $1.5/1M output tokens. Llama 4 Scout 17B Instruct costs $0.17/1M input and $0.66/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Grok Code Fast 1 or Llama 4 Scout 17B Instruct open source?

Grok Code Fast 1 is listed under Proprietary. Llama 4 Scout 17B Instruct is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for multimodal input, Grok Code Fast 1 or Llama 4 Scout 17B Instruct?

Llama 4 Scout 17B Instruct has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, Grok Code Fast 1 or Llama 4 Scout 17B Instruct?

Grok Code Fast 1 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, Grok Code Fast 1 or Llama 4 Scout 17B Instruct?

Grok Code Fast 1 has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Grok Code Fast 1 and Llama 4 Scout 17B Instruct?

Grok Code Fast 1 is available on OpenRouter. Llama 4 Scout 17B Instruct is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.