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Claude Sonnet 4.6 vs Llama 3.1 405B Instruct

Claude Sonnet 4.6 (2026) and Llama 3.1 405B Instruct (2024) are frontier reasoning models from Anthropic and AI at Meta. Claude Sonnet 4.6 ships a 1M-token context window, while Llama 3.1 405B Instruct ships a 128K-token context window. On pricing, Llama 3.1 405B Instruct costs $2.4/1M input tokens versus $3/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit.

Claude Sonnet 4.6 fits 8x more tokens; pick it for long-context work and Llama 3.1 405B Instruct for tighter calls.

Specs

Released2026-02-172024-07-23
Context window1M128K
Parameters405B
Architecturedecoder onlydecoder only
LicenseProprietaryOpen Source
Knowledge cutoff2025-12-

Pricing and availability

Claude Sonnet 4.6Llama 3.1 405B Instruct
Input price$3/1M tokens$2.4/1M tokens
Output price$15/1M tokens$2.4/1M tokens
Providers

Capabilities

Claude Sonnet 4.6Llama 3.1 405B Instruct
Vision
Multimodal
Reasoning
Function calling
Tool use
Structured outputs
Code execution

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Claude Sonnet 4.6, multimodal input: Claude Sonnet 4.6, reasoning mode: Claude Sonnet 4.6, function calling: Claude Sonnet 4.6, tool use: Claude Sonnet 4.6, and code execution: Claude Sonnet 4.6. Both models share 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, Claude Sonnet 4.6 lists $3/1M input and $15/1M output tokens, while Llama 3.1 405B Instruct lists $2.4/1M input and $2.4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Llama 3.1 405B Instruct lower by about $4.2 per million blended tokens. Availability is 4 providers versus 11, so concentration risk also matters.

Choose Claude Sonnet 4.6 when coding workflow support and larger context windows are central to the workload. Choose Llama 3.1 405B Instruct when provider fit, lower input-token cost, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Claude Sonnet 4.6 or Llama 3.1 405B Instruct?

Claude Sonnet 4.6 supports 1M tokens, while Llama 3.1 405B Instruct supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, Claude Sonnet 4.6 or Llama 3.1 405B Instruct?

Llama 3.1 405B Instruct is cheaper on tracked token pricing. Claude Sonnet 4.6 costs $3/1M input and $15/1M output tokens. Llama 3.1 405B Instruct costs $2.4/1M input and $2.4/1M output tokens. Provider discounts or batch pricing can still change the final bill.

Is Claude Sonnet 4.6 or Llama 3.1 405B Instruct open source?

Claude Sonnet 4.6 is listed under Proprietary. Llama 3.1 405B Instruct 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, Claude Sonnet 4.6 or Llama 3.1 405B Instruct?

Claude Sonnet 4.6 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.

Which is better for multimodal input, Claude Sonnet 4.6 or Llama 3.1 405B Instruct?

Claude Sonnet 4.6 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Claude Sonnet 4.6 and Llama 3.1 405B Instruct?

Claude Sonnet 4.6 is available on OpenRouter, Anthropic, AWS Bedrock, and GCP Vertex AI. Llama 3.1 405B Instruct is available on OctoAI API, Together AI, Fireworks AI, IBM watsonx, and Scale AI GenAI Platform. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

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Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.