LLM Reference

Grok Build 0.1 vs Llama 4 Scout 17B

Grok Build 0.1 (2026) and Llama 4 Scout 17B (2025) are agentic coding models from xAI and AI at Meta. Grok Build 0.1 ships a 256K-token context window, while Llama 4 Scout 17B ships a 10M-token context window. On pricing, Llama 4 Scout 17B costs $0.17/1M input tokens versus $1/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Llama 4 Scout 17B is ~488% cheaper at $0.17/1M; pay for Grok Build 0.1 only for coding workflow support.

Decision scorecard

Local evidence first
SignalGrok Build 0.1Llama 4 Scout 17B
Decision fitCoding, RAG, and AgentsRAG, Long context, and Vision
Context window256K10M
Cheapest output$2/1M tokens$0.66/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Grok Build 0.1 when...
  • Grok Build 0.1 uniquely exposes Reasoning, Function calling, and Tool use in local model data.
  • Local decision data tags Grok Build 0.1 for Coding, RAG, and Agents.
Choose Llama 4 Scout 17B when...
  • Llama 4 Scout 17B has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Llama 4 Scout 17B has the lower cheapest tracked output price at $0.66/1M tokens.
  • Llama 4 Scout 17B uniquely exposes Multimodal in local model data.
  • Local decision data tags Llama 4 Scout 17B for RAG, Long context, and Vision.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate Llama 4 Scout 17B

Grok Build 0.1

$1,300

Cheapest tracked route: xAI Console

Llama 4 Scout 17B

$301

Cheapest tracked route: AWS Bedrock

Estimated monthly gap: $999. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Grok Build 0.1 -> Llama 4 Scout 17B
  • No overlapping tracked provider route is sourced for Grok Build 0.1 and Llama 4 Scout 17B; plan for SDK, billing, or endpoint changes.
  • Llama 4 Scout 17B is $1.34/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
  • Llama 4 Scout 17B adds Multimodal in local capability data.
Llama 4 Scout 17B -> Grok Build 0.1
  • No overlapping tracked provider route is sourced for Llama 4 Scout 17B and Grok Build 0.1; plan for SDK, billing, or endpoint changes.
  • Grok Build 0.1 is $1.34/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Multimodal before moving production traffic.
  • Grok Build 0.1 adds Reasoning, Function calling, and Tool use in local capability data.

Specs

Specification
Released2026-05-142025-10-01
Context window256K10M
Parameters17
Architecture--
LicenseProprietaryOpen Source
Knowledge cutoff-2024-08

Pricing and availability

Pricing attributeGrok Build 0.1Llama 4 Scout 17B
Input price$1/1M tokens$0.17/1M tokens
Output price$2/1M tokens$0.66/1M tokens
Providers

Capabilities

CapabilityGrok Build 0.1Llama 4 Scout 17B
VisionNoNo
MultimodalNoYes
ReasoningYesNo
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, reasoning mode: Grok Build 0.1, function calling: Grok Build 0.1, and tool use: Grok Build 0.1. 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 Build 0.1 lists $1/1M input and $2/1M output tokens, while Llama 4 Scout 17B 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 lower by about $0.98 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose Grok Build 0.1 when coding workflow support are central to the workload. Choose Llama 4 Scout 17B when long-context analysis, larger context windows, 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 has a larger context window, Grok Build 0.1 or Llama 4 Scout 17B?

Llama 4 Scout 17B supports 10M tokens, while Grok Build 0.1 supports 256K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Grok Build 0.1 or Llama 4 Scout 17B?

Llama 4 Scout 17B is cheaper on tracked token pricing. Grok Build 0.1 costs $1/1M input and $2/1M output tokens. Llama 4 Scout 17B costs $0.17/1M input and $0.66/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Grok Build 0.1 or Llama 4 Scout 17B open source?

Grok Build 0.1 is listed under Proprietary. Llama 4 Scout 17B is listed under Open Source. 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 Build 0.1 or Llama 4 Scout 17B?

Llama 4 Scout 17B 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 reasoning mode, Grok Build 0.1 or Llama 4 Scout 17B?

Grok Build 0.1 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Grok Build 0.1 and Llama 4 Scout 17B?

Grok Build 0.1 is available on xAI Console. Llama 4 Scout 17B is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Continue comparing

Last reviewed: 2026-05-20. Data sourced from public model cards and provider documentation.