Llama 3.1 70B Instruct pricing and routing profile
Llama 3.1 70B Instruct from Meta lists at $0.40 per million input tokens and $0.40 per million output tokens, with a 131,072-token context window. Prices from OpenRouter's catalogue on 2026-09-28.
Tool callingStructured output
Cost per 1,000 requests
| Request shape | List cost |
|---|---|
| Classification or routing (600 tokens in, 10 out) | $0.244 |
| Chat reply (2,000 in, 400 out) | $0.96 |
| Retrieval-augmented answer (8,000 in, 500 out) | $3.40 |
Before prompt caching. Try your own shape in the cost calculator.
Can Gimbix route to it first?
Not as a first-answer model through OpenRouter: no host returns token log probabilities for Llama 3.1 70B Instruct. It can still be the model Gimbix falls back to when a cheaper model is unsure.
Cheaper models that can answer first
Models priced below Llama 3.1 70B Instruct that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.
| Model | Input / output per 1M | Cheaper on a chat reply |
|---|---|---|
| DeepSeek V4 Flash 0423 | $0.14 / $0.28 | 59% |
| Qwen3 14B | $0.12 / $0.24 | 65% |
| Llama 3.3 70B Instruct | $0.10 / $0.32 | 66% |
| Qwen3 30B A3B Instruct 2507 | $0.10 / $0.30 | 67% |
| Gemma 4 31B | $0.09 / $0.34 | 67% |
| Qwen3 235B A22B Instruct 2507 | $0.0875 / $0.35 | 67% |
Questions
How much does Llama 3.1 70B Instruct cost?
Llama 3.1 70B Instruct lists at $0.40 per million input tokens and $0.40 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $0.96 per 1,000 requests.
What is the context window of Llama 3.1 70B Instruct?
131,072 tokens.
Can a cheaper model replace Llama 3.1 70B Instruct?
Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match Llama 3.1 70B Instruct on one half of your requests and make at most three answers worse on the other.