openai
Llama 3.1 70B Instruct vs GPT-5.6 Luna
73.6 overall · $0.450 / 1M
// meta-llama
Llama 3.1 70B Instruct
meta-llama/llama-3.1-70b-instruct
tool calling
Llama 3.1 70B Instruct costs $0.400 per 1M input tokens and $0.400 per 1M output tokens with a 131K-token context window.
A tool-calling model from meta-llama, released Jul 23, 2024. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.400
- Output / 1M
- $0.400
- Context
- 131K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.400 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $0.400 |
| Blended price 3:1 input:output — #118 cheapest of 343 listed models | $0.400 |
| Cached input read Blank means not priced separately — not free | — |
| Cache write | — |
| Context window | 131,072 tokens |
| Max output | 16,384 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | No |
| Knowledge cutoff | 2023-12-31 |
| Listed | Jul 23, 2024 |
What Llama 3.1 70B Instruct costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $128.00/mo |
| RAG assistant 8K in / 600 out × 100K requests | $344.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $352.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $430.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $1,040/mo |
Compare Llama 3.1 70B Instruct with
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Llama 3.1 70B Instruct vs GLM 5.3 Flash
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Llama 3.1 70B Instruct vs Qwen3.6 Plus
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Llama 3.1 70B Instruct FAQ
How much does Llama 3.1 70B Instruct cost?
Llama 3.1 70B Instruct lists at $0.400 per 1M input tokens and $0.400 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $344.00 at list price.
What is the context window of Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct accepts up to 131,072 tokens of context and can return up to 16,384 output tokens per response.
Does Llama 3.1 70B Instruct support tool calling?
Yes — Llama 3.1 70B Instruct supports tool (function) calling. It accepts text input.
How does Llama 3.1 70B Instruct score on benchmarks?
LiveBench has not published a run for Llama 3.1 70B Instruct yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Llama 3.1 70B Instruct?
On OpenRouter the model ID is "meta-llama/llama-3.1-70b-instruct". It was listed on Jul 23, 2024.
More from meta-llama
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.