Llama 3.3 70B vs Claude Sonnet 4.6
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Meta
2 providers:
Meta $0.590/$0.790
Together $1.04/$1.04
|
by Anthropic
|
|---|---|---|
| Overview | ||
| Status | Current open weights Open weights | Current mid tier |
| Released | Dec 6, 2024 | Jan 15, 2026 |
| Pricing per million tokens | ||
| Input | $0.590/Mtok | $3.00/Mtok |
| Output | $0.790/Mtok | $15.00/Mtok |
| Blended avg | $0.640/Mtok | $6.00/Mtok |
| Cached input | — | $0.300/Mtok |
| Specifications | ||
| Context window | 128K tokens | 1M tokens |
| Parameters | 70B | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
textimage
|
| Benchmarks source: Vellum LLM Leaderboard | ||
| Avg benchmark score | 46.6 | 70.4 |
| Perf / dollar | 72.8 | 11.7 |
| GPQA Diamond | 50.5 | 89.9 |
| Humanity's Last Exam | 10 | 19.1 |
| ARC-AGI 2 | 12 | 58.3 |
| AIME 2025 | 38 | 83 |
| MMMLU | 72 | 89.3 |
| HumanEval | 78 | 79.6 |
| SWE-Bench Verified | 22 | — |
| Terminal-Bench 2.1 | — | 59.1 |
| LiveCodeBench | — | 72.4 |
| MCP Atlas | — | 69.5 |
| BrowseComp | — | 76.2 |
| OSWorld-Verified | — | 78.5 |
| BFCL | 77.3 | — |
| MATH 500 | 60 | — |
| AutoBench | — | 5.3 |
| Independent composite scores each on its own scale — not part of the average above | ||
| AA Intelligence Index | — | 48.4 |
| AA Agentic Index | — | 42.1 |
| AA-Omniscience Index (−100–100) | — | 12.2 |
| LMSYS Chatbot Arena | — | 1472 ELO |
| Providers | ||
| Available from |
Meta — $0.590/$0.790/Mtok
Together — $1.04/$1.04/Mtok
|
Anthropic — $3.00/$15.00/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Llama 3.3 70B | Claude Sonnet 4.6 | Savings |
|---|---|---|---|
| 1M tokens | $0.64 | $6 | $5.36 (89.3%) |
| 10M tokens | $6.4 | $60 | $53.6 (89.3%) |
| 100M tokens | $64 | $600 | $536 (89.3%) |
| 1000M tokens | $640 | $6000 | $5360 (89.3%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.640/Mtok blended vs $6.00 — 89.3% less on the same 50/50 token mix
- you want open weights — self-host it, fine-tune it, or exit the API entirely; Claude Sonnet 4.6 is closed
- provider flexibility: available from 2 providers, so you can price-shop hosts or fail over
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.300/Mtok — 90% off its list input price, a discount Llama 3.3 70B doesn't offer
- you need the longer context: 1M tokens vs 128K (7.8×)
- raw capability matters more than price: 70.4 vs 46.6 average benchmark score
Summary
Llama 3.3 70B by Meta costs $0.590/Mtok input and $0.790/Mtok output, with a 128K-token context window. It supports text input and is available from 2 providers.
Claude Sonnet 4.6 by Anthropic costs $3.00/Mtok input and $15.00/Mtok output, with a 1M-token context window. It supports text, image input.
On a blended cost basis, Llama 3.3 70B is 89.3% cheaper than Claude Sonnet 4.6.
On benchmarks, Claude Sonnet 4.6 scores higher (70.4 vs 46.6) on average. In terms of value, Llama 3.3 70B has better performance per dollar (72.8 vs 11.7).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.