Meta Llama 3.3 70B Instruct: price rise input $0.100 → $0.590 per 1M tokens (+490 %), output $0.320 → $0.790 per 1M tokens (+147 %)
On the listed price of Meta Llama 3.3 70B Instruct changed: input $0.100 → $0.590 per 1M tokens (+490 %); output $0.320 → $0.790 per 1M tokens (+147 %). A later check on confirmed it. Prices as listed in the United States.
What changed
Meta Llama 3.3 70B Instruct is more expensive on OpenRouter. Source: price page as read.
What it does to a task
Standard tasks, visible output only, no cache discount; month = 20 tasks an hour around the clock.
| Task | Per task, before | Per task, now | Per month, before | Per month, now |
|---|---|---|---|---|
| L1 · Micro-task (classification or strict JSON extraction) | $0.0002 | $0.0010 | $3.12 | $15.23 |
| L2 · Deep analysis over a 50,000-token document | $0.017 | $0.096 | $246.16 | $1,404.23 |
| L3 · Agentic coding loop, 15 steps | $0.134 | $0.783 | $1,962.68 | $11,435.52 |
Same task on other models
The L2 task on other models we follow closely, at today's prices:
- Anthropic: Claude Haiku 5.5 — $0.017 per L2 task
- DeepSeek: DeepSeek V4.1 Flash 1017 — $0.051 per L2 task
- Mistral: Mistral Large 4 — $0.118 per L2 task
- Google: Gemini 3.8 Flash — $0.131 per L2 task
Recalculate for your workload
Open the task cost calculator with this model and your own numbers. Model card with the full price history