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Grok 4.3 vs Llama 4 Scout

Grok 4.3 vs Llama 4 Scout: Llama 4 Scout is cheaper for input-heavy usage ($0.08/M vs $1.25/M input tokens), while Llama 4 Scout is better for long-context tasks (10,000,000 tokens).

Direct answer: choose Llama 4 Scout for lower token spend and choose Llama 4 Scout when your workload needs longer context.

Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.

xAI
Grok 4.3
vs
Meta (via Together AI)
Llama 4 Scout

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Grok 4.3

Per Request:$0.002500
Daily:$0.25
Monthly:$7.50
Yearly:$91.25

Llama 4 Scout

Per Request:$0.000230
Daily:$0.023
Monthly:$0.69
Yearly:$8.395

Cost Differences

$0.002270
Per Request
$0.227
Daily
$6.81
Monthly
$82.855
Yearly

Llama 4 Scout costs less than Grok 4.3

Quick Recommendation

Winner for direct API pricing: Llama 4 Scout. At the default workload, Llama 4 Scout saves about $6.81/month ($82.855/year) versus Grok 4.3.

Feature Comparison

FeatureGrok 4.3Llama 4 Scout
ProviderxAIMeta (via Together AI)
Input Price$1.25/1M tokens$0.08/1M tokens
Output Price$2.50/1M tokens$0.30/1M tokens
Context Window1,000,000 tokens10,000,000 tokens
Max Output131,072 tokens32,768 tokens
Categoryreasoningefficient
Capabilities
textvisionreasoning
textvisioncode
Release Date4/30/20264/5/2025

Grok 4.3 vs Llama 4 Scout: Which Should You Choose?

Choosing between Grok 4.3 and Llama 4 Scout depends on your priorities: cost efficiency, context length, or raw capability. Llama 4 Scout is the more affordable option at $0.08/1M input tokens94% cheaper than Grok 4.3. Meanwhile, Llama 4 Scout offers a significantly larger context window at 10,000,000 tokens vs 1,000,000 for Grok 4.3.

These models come from different providers — xAI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with xAI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Grok 4.3 is a reasoning model while Llama 4 Scout is efficient. This means they're optimized for different workloads. Grok 4.3 is built for complex tasks that require deeper reasoning, while Llama 4 Scout offers better value for routine operations.

Output costs matter too. Grok 4.3 charges $2.50/1M output tokens vs $0.30 for Llama 4 Scout. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 4 Scout has the edge here at $0.30/1M output tokens.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose Grok 4.3 when:

  • • You need longer outputs (up to 131,072 tokens)
  • • You're already using xAI's API ecosystem

Choose Llama 4 Scout when:

  • • Budget is a primary concern
  • • You need a larger context window (10,000,000 tokens)
  • • You're already using Meta (via Together AI)'s API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Pros and Caveats at a Glance

Grok 4.3

  • Input pricing: $1.25/M tokens
  • Output pricing: $2.50/M tokens
  • Context window: 1,000,000 tokens
  • Max output: 131,072 tokens

Watch out for

  • Higher input cost than Llama 4 Scout
  • Higher output cost than Llama 4 Scout
  • Smaller context window than Llama 4 Scout

Llama 4 Scout

  • Input pricing: $0.08/M tokens
  • Output pricing: $0.30/M tokens
  • Context window: 10,000,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Grok 4.3 (xAI)

Llama 4 Scout (Meta (via Together AI))

Start using Grok 4.3 today

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Start using Llama 4 Scout today

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Frequently Asked Questions

Which is cheaper, Grok 4.3 or Llama 4 Scout?
Llama 4 Scout is cheaper for input tokens at $0.08 per million tokens vs $1.25 for Grok 4.3 — that's 94% savings on input costs.
What is the context window difference between Grok 4.3 and Llama 4 Scout?
Grok 4.3 supports 1,000,000 tokens while Llama 4 Scout supports 10,000,000 tokens — a difference of 9,000,000 tokens in favor of Llama 4 Scout.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 4 Scout is the lower-cost option, while Llama 4 Scout offers a larger context window (10,000,000 vs 1,000,000 tokens). Choose Llama 4 Scout for budget sensitivity or Llama 4 Scout for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Grok 4.3 costs about $7.50/month and Llama 4 Scout costs about $0.69/month. Overall, Llama 4 Scout has lower combined input + output rates ($0.08 in, $0.30 out) vs Grok 4.3.
Where can I compare xAI and Meta (via Together AI) API pricing beyond this model matchup?
See the xAI vs Meta (via Together AI) provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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