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Llama 3.3 70B
Meta
Meta's large open-source model with strong reasoning. Great value via providers like Together AI or Fireworks.
Input price$0.23 / 1M tokens
Output price$0.40 / 1M tokens
Context window128k tokens
Last updated2026-04-21
Quick calculator
Per request
$0.000430
Daily
$4.30
Monthly
$129.00
per month · 30-day estimate
Yearly
$1,569.50
Tips to reduce cost
- →Use prompt caching to reuse repeated system prompts
- →Trim whitespace and reduce verbose instructions
- →Use a smaller model for classification or routing tasks
- →Batch async requests to get 50% discount (OpenAI/Anthropic)
- →Cache identical requests at the application layer
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About Llama 3.3 70B
Llama 3.3 70B is a mid-range large language model from meta, priced at $0.23/1M input tokens and $0.4/1M output tokens. It is 91% cheaper than the market average and best suited for open-source workloads. The 128k context window handles long documents, extended conversations, and large code files comfortably.
For most production workloads, the cost breakdown is dominated by input tokens (system prompts, context, retrieved documents) rather than output. At this price point, Llama 3.3 70B is a solid choice when balancing quality and cost at scale.
Frequently Asked Questions
How much does Llama 3.3 70B cost per 1,000 tokens?
Llama 3.3 70B costs $0.0002 per 1,000 input tokens and $0.0004 per 1,000 output tokens.
What is Llama 3.3 70B's context window?
Llama 3.3 70B supports a context window of 128k tokens, which is suitable for long documents and multi-turn conversations.
How does Llama 3.3 70B compare to GPT-4o on price?
Llama 3.3 70B is 91% cheaper than the market average on input tokens. At $0.23/1M input vs $2.50/1M for GPT-4o, the cost difference becomes significant at scale — 10,000 requests/day with 1,000 input tokens each costs $69/month with Llama 3.3 70B vs $750/month with GPT-4o.