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Grok 4.3 vs Llama 4 Scout

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Grok 4.3 Cost
$1.75
Llama 4 Scout Cost
$0.16
Llama 4 Scout is 91% cheaper
FeatureGrok 4.3Llama 4 Scout
ProviderxAIMeta
Input Price (1M)$1.25$0.10
Output Price (1M)$2.50$0.30
Context Window1,000,00010,000,000

Verdict

Grok 4.3 costs $1.25 per 1M input tokens and $2.50 per 1M output tokens. Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens. Llama 4 Scout is 92% cheaper on input tokens than Grok 4.3. For output tokens, Llama 4 Scout is the more affordable option at $0.30/1M vs $2.50.

On context window, Llama 4 Scout supports 10,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose Grok 4.3

  • ✓ You are already integrated with xAI

When to choose Llama 4 Scout

  • ✓ You need the lowest input token cost ($ 0.10/1M)
  • ✓ Your workload is output-heavy — Llama 4 Scout generates text cheaper
  • ✓ You need a larger context window (10,000,000 tokens)
  • ✓ You are already integrated with Meta

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is Grok 4.3 cheaper than Llama 4 Scout?

Llama 4 Scout is cheaper on input tokens at $0.10/1M vs $1.25/1M for Grok 4.3 — a 92% saving.

What is the context window of Grok 4.3 vs Llama 4 Scout?

Grok 4.3 has a 1,000,000-token context window. Llama 4 Scout has a 10,000,000-token context window. Llama 4 Scout supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: Grok 4.3 or Llama 4 Scout?

The best choice depends on your use case. For cost efficiency on input tokens, Llama 4 Scout is the cheaper option. For maximum context length, Llama 4 Scout supports 10,000,000 tokens. Use the comparison table above to find the right fit for your workload.