Llama 3.1 70B Pricing
BalancedMeta · 128K tokens context
Llama 3.1 70B from Meta costs $0.400 per 1 million input tokens and $0.400 per 1 million output tokens as of May 2026 (live OpenRouter data). The model supports a 128,000-token context window (approximately 96,000 words) with a 4K-token maximum output. A typical 1,000-token request costs $0.0004 in input charges; a 10,000-token request costs $0.0040.
| Input price | $0.400 / 1M tokens |
|---|---|
| Output price | $0.400 / 1M tokens |
| Output / input ratio | 1.0× |
| Context window | 128,000 tokens (~96,000 words) |
| Maximum output | 4,096 tokens |
| Cost per 1K tokens (input) | $0.0004 |
| Tier | Balanced |
| Last verified |
Llama 3.1 70B is the mid-size open-weight model in the 3.1 family — a popular sweet spot for production workloads that need GPT-4o-mini-class quality at open-weight prices.
Input Price
$0.400
per 1 million tokens
Output Price
$0.400
per 1 million tokens
Context Window
128K tokens
max 4K output
Cost Examples
| Request Type | Tokens | Input Cost | Output Cost |
|---|---|---|---|
| 1,000 word article | 1,333 | $0.000533 | $0.00016 |
| 10-page document (2,500 words) | 3,333 | $0.00133 | $0.0004 |
| 1,000 lines of code | 5,000 | $0.002 | $0.0006 |
| 100K token document | 100,000 | $0.04 | $0.012 |
Output cost estimated at 30% of input token count. Use the calculator for exact figures.
Strengths
- ✓Affordable hosted pricing under $1/1M
- ✓Strong general-purpose quality
- ✓Open weights
Limitations
- –Below frontier on hardest tasks
- –Quality varies by host
Best Use Cases
Calculate Llama 3.1 70B Costs
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Open Calculator →Llama 3.1 70B — FAQ
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