Anthropic: Claude Sonnet 4.6 (batch) vs Meta: Llama 3.3 70B Instruct
Head-to-head API pricing and cost comparison between Anthropic’s Anthropic: Claude Sonnet 4.6 (batch) and Meta’s Meta: Llama 3.3 70B Instruct. Prices auto-refresh daily from OpenRouter.
Meta: Llama 3.3 70B Instruct is 53% cheaper for input tokens; Meta: Llama 3.3 70B Instruct also wins on output tokens.
Side-by-side comparison
| Spec | Anthropic: Claude Sonnet 4.6 (batch) | Meta: Llama 3.3 70B Instruct |
|---|---|---|
| Input price (per 1M) | $1.50 | $0.71 |
| Cached input (per 1M) | $0.15 | $0.71 |
| Output price (per 1M) | $7.50 | $0.71 |
| Batch input (per 1M) | $0.75 | — |
| Batch output (per 1M) | $3.75 | — |
| Reasoning price (per 1M) | — | — |
| Context window | 1000K | 131K |
| Vision support | Yes | No |
| Caching support | Yes | Yes |
| Batch API | Yes | No |
| Reasoning capability | No | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | Anthropic: Claude Sonnet 4.6 (batch) | Meta: Llama 3.3 70B Instruct | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $67.50 | $14.91 | $52.59 Meta: Llama 3.3 70B Instruct wins |
10K req/day 1500in / 500out tokens | $1,800 | $426.00 | $1,374 Meta: Llama 3.3 70B Instruct wins |
100K req/day 3000in / 800out tokens | $31,500 | $8,094 | $23,406 Meta: Llama 3.3 70B Instruct wins |
1M req/day 8000in / 2000out tokens | $810,000 | $213,000 | $597,000 Meta: Llama 3.3 70B Instruct wins |
Adjust input/output token counts, request volume, batch & cached pricing.
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Frequently asked questions
Which is cheaper, Anthropic: Claude Sonnet 4.6 (batch) or Meta: Llama 3.3 70B Instruct?
For input tokens, Meta: Llama 3.3 70B Instruct is roughly 53% cheaper at $0.71/1M vs $1.50/1M. For output tokens, Meta: Llama 3.3 70B Instruct wins at $0.71/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
Anthropic: Claude Sonnet 4.6 (batch) has a context window of 1000K tokens. Meta: Llama 3.3 70B Instruct offers 131K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.
Should I use Anthropic: Claude Sonnet 4.6 (batch) or Meta: Llama 3.3 70B Instruct?
Choose Anthropic: Claude Sonnet 4.6 (batch) if you’re already on the Anthropic stack, want broad ecosystem support, or prefer its feature set. Choose Meta: Llama 3.3 70B Instruct for Meta’s ecosystem, or its cheaper input tokens. Run a small benchmark on your own prompts before committing — price is only one axis.
How are these prices kept current?
Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: Aug 27, 2026.