Live pricing — last refreshed May 31, 2026

Anthropic: Claude Opus 4.7 (Fast) vs Meta: Llama 3.2 1B Instruct

Head-to-head API pricing and cost comparison between Anthropic’s Anthropic: Claude Opus 4.7 (Fast) and Meta’s Meta: Llama 3.2 1B Instruct. Prices auto-refresh daily from OpenRouter.

Verdict

Meta: Llama 3.2 1B Instruct is 100% cheaper for input tokens; Meta: Llama 3.2 1B Instruct also wins on output tokens.

Side-by-side comparison

SpecAnthropic: Claude Opus 4.7 (Fast)Meta: Llama 3.2 1B Instruct
Input price (per 1M)$30.00$0.03
Cached input (per 1M)$3.00
Output price (per 1M)$150.00$0.20
Batch input (per 1M)$15.00
Batch output (per 1M)$75.00
Reasoning price (per 1M)
Context window1000K131K
Vision supportYesNo
Caching supportYesNo
Batch APIYesNo
Reasoning capabilityNoNo

Monthly cost at volume

Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).

VolumeAnthropic: Claude Opus 4.7 (Fast)Meta: Llama 3.2 1B InstructSavings
1K req/day
500in / 200out tokens
$1,350$1.61$1,348
Meta: Llama 3.2 1B Instruct wins
10K req/day
1500in / 500out tokens
$36,000$42.30$35,958
Meta: Llama 3.2 1B Instruct wins
100K req/day
3000in / 800out tokens
$630,000$725.40$629,275
Meta: Llama 3.2 1B Instruct wins
1M req/day
8000in / 2000out tokens
$16,200,000$18,540$16,181,460
Meta: Llama 3.2 1B Instruct wins
Open in interactive calculator →

Adjust input/output token counts, request volume, batch & cached pricing.

Related comparisons

Frequently asked questions

Which is cheaper, Anthropic: Claude Opus 4.7 (Fast) or Meta: Llama 3.2 1B Instruct?

For input tokens, Meta: Llama 3.2 1B Instruct is roughly 100% cheaper at $0.03/1M vs $30.00/1M. For output tokens, Meta: Llama 3.2 1B Instruct wins at $0.20/1M. 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 Opus 4.7 (Fast) has a context window of 1000K tokens. Meta: Llama 3.2 1B 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 Opus 4.7 (Fast) or Meta: Llama 3.2 1B Instruct?

Choose Anthropic: Claude Opus 4.7 (Fast) if you’re already on the Anthropic stack, want broad ecosystem support, or prefer its feature set. Choose Meta: Llama 3.2 1B 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: May 31, 2026.