Claude Sonnet 4.6 vs Llama 3.1 405B
Claude Sonnet 4.6 vs Llama 3.1 405B: Claude Sonnet 4.6 is cheaper for input-heavy usage ($3.00/M vs $3.50/M input tokens), while Claude Sonnet 4.6 is better for long-context tasks (1,000,000 tokens).
Direct answer: choose Claude Sonnet 4.6 for lower token spend and choose Claude Sonnet 4.6 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.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Claude Sonnet 4.6
Llama 3.1 405B
Cost Differences
Llama 3.1 405B costs less than Claude Sonnet 4.6
Quick Recommendation
Winner for direct API pricing: Llama 3.1 405B. At the default workload, Llama 3.1 405B saves about $15.75/month ($191.625/year) versus Claude Sonnet 4.6.
Feature Comparison
| Feature | Claude Sonnet 4.6 | Llama 3.1 405B |
|---|---|---|
| Provider | Anthropic | Meta (via Together AI) |
| Input Price | $3.00/1M tokens | $3.50/1M tokens |
| Output Price | $15.00/1M tokens | $3.50/1M tokens |
| Context Window | 1,000,000 tokens | 128,000 tokens |
| Max Output | 65,536 tokens | 32,768 tokens |
| Category | balanced | flagship |
| Capabilities | textvisioncodereasoningcomputer-use | textcodereasoning |
| Release Date | 2/18/2026 | 7/23/2024 |
Claude Sonnet 4.6 vs Llama 3.1 405B: Which Should You Choose?
Choosing between Claude Sonnet 4.6 and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. Llama 3.1 405B is the more affordable option at $3.50/1M input tokens. Meanwhile, Claude Sonnet 4.6 offers a significantly larger context window at 1,000,000 tokens vs 128,000 for Llama 3.1 405B.
These models come from different providers — Anthropic and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Anthropic, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Claude Sonnet 4.6 is a balanced model while Llama 3.1 405B is flagship. This means they're optimized for different workloads. Llama 3.1 405B targets more demanding workloads, while Claude Sonnet 4.6 provides a cost-effective option for everyday tasks.
Output costs matter too. Claude Sonnet 4.6 charges $15.00/1M output tokens vs $3.50 for Llama 3.1 405B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 405B has the edge here at $3.50/1M output tokens.
Multimodal capabilities: Claude Sonnet 4.6 supports vision (image inputs) while Llama 3.1 405B is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Claude Sonnet 4.6 when:
- • Budget is a primary concern
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (vision, computer-use)
- • You need longer outputs (up to 65,536 tokens)
- • You're already using Anthropic's API ecosystem
Choose Llama 3.1 405B when:
- • You're already using Meta (via Together AI)'s API ecosystem
Pros and Caveats at a Glance
Claude Sonnet 4.6
- • Input pricing: $3.00/M tokens
- • Output pricing: $15.00/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Higher output cost than Llama 3.1 405B
Llama 3.1 405B
- • Input pricing: $3.50/M tokens
- • Output pricing: $3.50/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input cost than Claude Sonnet 4.6
- • Smaller context window than Claude Sonnet 4.6
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Claude Sonnet 4.6 (Anthropic)
Llama 3.1 405B (Meta (via Together AI))
Start using Claude Sonnet 4.6 today
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, Claude Sonnet 4.6 or Llama 3.1 405B?▼
What is the context window difference between Claude Sonnet 4.6 and Llama 3.1 405B?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Anthropic and Meta (via Together AI) API pricing beyond this model matchup?▼
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