Claude Sonnet 4.6 vs Llama 4 Scout — Pricing Comparison 2026

Requests per Day

Days per Month

Anthropic

Claude Sonnet 4.6

$0.00

per month

Input cost

Output cost

Cost per request

Requests/month

Meta (Together.ai)

Llama 4 Scout

$0.00

per month

Input cost

Output cost

Cost per request

Requests/month

Which Model for Which Use Case?

Budget-Conscious Teams

Llama 4 Scout at $0.18/M input is 94% cheaper than Sonnet 4.6. For startups and side projects where every dollar counts, Llama 4 Scout is the clear winner.

Best value: Llama 4 Scout (94-96% cheaper)

Safety-Conscious Applications

Anthropic's Sonnet 4.6 is built with safety as a core priority. For applications handling sensitive data or requiring careful content moderation, Sonnet 4.6's safety features are worth the premium.

Safety: Sonnet 4.6 | Budget: Llama 4 Scout

Managed vs Self-Hosted

Sonnet 4.6 comes with Anthropic's managed API — zero infrastructure to manage. Llama 4 Scout via Together.ai is also managed, but self-hosting gives you full control.

Managed: Sonnet 4.6 | Self-host: Llama 4 Scout

Quality at Scale

For workloads requiring consistent high-quality output at scale, Sonnet 4.6's refined training delivers reliable results. Llama 4 Scout is competitive but may require more prompt engineering.

Quality: Sonnet 4.6 | Cost at scale: Llama 4 Scout

Need deeper cost analysis?

APIpulse lets you compare all 88 models, save scenarios, and export PDF reports.

88 models across 10 providers

Save up to 10 scenarios

Export PDF cost reports

Optimize — save up to 40%

Free Tools →

Frequently Asked Questions

Is Llama 4 Scout cheaper than Claude Sonnet 4.6?

Yes. Llama 4 Scout costs $0.18/M input and $0.59/M output. Claude Sonnet 4.6 costs $3.00/M input and $15.00/M output. Llama is 94% cheaper on input and 96% cheaper on output. For 1M input + 500K output tokens/month, Llama costs $0.48 vs Sonnet's $10.50 — saving $10.02/month (95%).

Which has a larger context window?

Both models offer a 1M token context window. Neither has an advantage in context size — the choice comes down to cost, quality, and ecosystem.

When should I choose Claude Sonnet 4.6 over Llama 4 Scout?

Choose Sonnet 4.6 when: (1) you need Anthropic's safety-focused approach, (2) you want managed infrastructure with SLAs, (3) your workload requires the highest quality reasoning. Choose Llama 4 Scout when: (1) cost is critical (94-96% cheaper), (2) you can self-host or use Together.ai, (3) you want open-source control.

Are both models good for production?

Both support production workloads. Sonnet 4.6 is Anthropic's mid-tier model with enterprise support and safety features. Llama 4 Scout is Meta's open-source model via Together.ai — dramatically cheaper but requires more infrastructure management.