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Grok 4.3 vs Llama 4 Scout 17B

Grok 4.3 (2026) and Llama 4 Scout 17B (2025) are frontier reasoning models from xAI and AI at Meta. Grok 4.3 ships a 1M-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 $1.25/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Llama 4 Scout 17B is ~635% cheaper at $0.17/1M; pay for Grok 4.3 only for reasoning depth.

Decision scorecard

Local evidence first
SignalGrok 4.3Llama 4 Scout 17B
Decision fitRAG, Agents, and Long contextRAG, Long context, and Vision
Context window1M10M
Cheapest output$2.5/1M tokens$0.66/1M tokens
Provider routes3 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Grok 4.3 when...
  • Grok 4.3 has broader tracked provider coverage for fallback and procurement flexibility.
  • Grok 4.3 uniquely exposes Vision, Reasoning, and Function calling in local model data.
  • Local decision data tags Grok 4.3 for RAG, Agents, and Long context.
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.
  • 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 4.3

$1,625

Cheapest tracked route: xAI Console

Llama 4 Scout 17B

$301

Cheapest tracked route: AWS Bedrock

Estimated monthly gap: $1,324. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

Grok 4.3 -> Llama 4 Scout 17B
  • No overlapping tracked provider route is sourced for Grok 4.3 and Llama 4 Scout 17B; plan for SDK, billing, or endpoint changes.
  • Llama 4 Scout 17B is $1.84/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Reasoning, and Function calling before moving production traffic.
Llama 4 Scout 17B -> Grok 4.3
  • No overlapping tracked provider route is sourced for Llama 4 Scout 17B and Grok 4.3; plan for SDK, billing, or endpoint changes.
  • Grok 4.3 is $1.84/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Grok 4.3 adds Vision, Reasoning, and Function calling in local capability data.

Specs

Specification
Released2026-05-052025-10-01
Context window1M10M
Parameters~0.5T17
Architecture--
LicenseProprietaryOpen Source
Knowledge cutoff2024-112024-08

Pricing and availability

Pricing attributeGrok 4.3Llama 4 Scout 17B
Input price$1.25/1M tokens$0.17/1M tokens
Output price$2.5/1M tokens$0.66/1M tokens
Providers

Capabilities

CapabilityGrok 4.3Llama 4 Scout 17B
VisionYesNo
MultimodalYesYes
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 vision: Grok 4.3, reasoning mode: Grok 4.3, function calling: Grok 4.3, and tool use: Grok 4.3. Both models share multimodal input and 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 4.3 lists $1.25/1M input and $2.5/1M 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 $1.31 per million blended tokens. Availability is 3 providers versus 1, so concentration risk also matters.

Choose Grok 4.3 when reasoning depth and broader provider choice 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 4.3 or Llama 4 Scout 17B?

Llama 4 Scout 17B supports 10M tokens, while Grok 4.3 supports 1M 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 4.3 or Llama 4 Scout 17B?

Llama 4 Scout 17B is cheaper on tracked token pricing. Grok 4.3 costs $1.25/1M input and $2.5/1M 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 4.3 or Llama 4 Scout 17B open source?

Grok 4.3 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 vision, Grok 4.3 or Llama 4 Scout 17B?

Grok 4.3 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for multimodal input, Grok 4.3 or Llama 4 Scout 17B?

Both Grok 4.3 and Llama 4 Scout 17B expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Grok 4.3 and Llama 4 Scout 17B?

Grok 4.3 is available on xAI Console, OpenRouter, and Microsoft Foundry. Llama 4 Scout 17B is available on AWS Bedrock. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-16. Data sourced from public model cards and provider documentation.