Meta · Open-weight
Llama 3.3 70B Instruct API Member pricing vs list price
meta/llama-3.3-70b-instruct
Open-weightBuilt with LlamaLlama 3.3 70B Instruct is an open-weight model from Meta with a 131K-token context window. It lists at $0.59 input and $0.79 output per 1M tokens, and Members pay $0.5015 and $0.6715 with a Private key.
Llama 3.3 70B Instruct prices per 1M tokens
Input / output, by membership tier and data policy. Every price is a percent of the provider's public list price.
| Tier | Private | Research ShareFinancial incentive notice |
|---|---|---|
| List price | $0.59 input, $0.79 output per 1M tokens | |
| Guest | Not on Guest (data sharing required) | $0.5605 input, $0.7505 output per 1M tokens5% off list price |
| Member | $0.5015 input, $0.6715 output per 1M tokens15% off list price | $0.472 input, $0.632 output per 1M tokens20% off list price |
| Executive | $0.4425 input, $0.5925 output per 1M tokens25% off list price | $0.413 input, $0.553 output per 1M tokens30% off list price |
Does Member pay for itself on Llama 3.3 70B Instruct?
- Member ($199 a year) pays for itself once your Llama 3.3 70B Instruct spend at list price passes $111 a month with a Private key (about 173M tokens at a 3:1 input-to-output mix) or $82.92 a month with Research Share.
- Executive ($1,999 a year) costs less than Member above $1,500 a month (Private keys), about 2.3B tokens a month.
- Guests already pay 5% below list here with no fee; against that price, Member Research Share pays for itself above $111 a month.
At this volume Guest saves $3.20 a month against list price.
| Plan | Usage / mo | Fee / mo | Net vs list / mo | Pays off above |
|---|---|---|---|---|
| Guest | $60.80 | Free | $3.20 | No fee |
| Member · Private | $54.40 | $16.58 | −$6.98 | 173M tokens |
| Member · Research Share | $51.20 | $16.58 | −$3.78 | 130M tokens |
| Executive · Private | $48.00 | $167 | −$151 | 1B tokens |
| Executive · Research Share | $44.80 | $167 | −$147 | 868M tokens |
Usage at each plan's price per token. The fee is the annual membership fee divided by 12 and covers every model, so spend on other models counts toward it too.
Specs
| Provider | Meta |
|---|---|
| Model type | Open-weight |
| Context window | 131,072 tokens (131K) |
| Input and output | Text in, text out (chat completions) |
| Model ID | meta/llama-3.3-70b-instruct |
| Endpoint | POST https://api.bearer.club/v1/chat/completions |
| Plans | Guest (Research Share), Member, Executive |
| List price per 1M tokens | $0.59 input, $0.79 output |
| Attribution | Built with Llama |
List price rank: 48th lowest input price and 19th lowest output price of the 69 models. No model in the catalog has a smaller context window.
Where Llama 3.3 70B Instruct fits
Llama 3.3 70B Instruct is a general chat model, a common choice for chat, drafting, summarization and question answering. By list price at a 3:1 input-to-output mix it is in the middle-priced third of the 69 models on Bearer Club.
Its 131,072-token window suits ordinary chat and documents; split very long inputs across requests.
It is open-weight, so Guests can call it at 5% below list with Research Share and no membership fee (usage is paid from prepaid credit), and signed-in users can try it in the free Playground.
Bearer Club does not publish benchmark scores. Test Llama 3.3 70B Instruct on your own prompts before you move traffic to it.
What 1,000 requests cost
Example request shapes, priced per 1,000 requests from the per-token prices above.
| Request (input / output tokens) | List price | Guest | Member Private | Executive Private |
|---|---|---|---|---|
| Short chat reply1,000 / 300 | $0.83 | $0.79 | $0.70 | $0.62 |
| Document summary20,000 / 1,000 | $12.59 | $11.96 | $10.70 | $9.44 |
Related models
- Llama 4 Maverick
$0.1875 input / $0.6525 output at list, 2.1× cheaper than Llama 3.3 70B Instruct at a 3:1 mix; 1M-token context; open-weight, on the Guest plan.
- Qwen3.6 27B
$0.25 input / $2.00 output at list, 7% more than Llama 3.3 70B Instruct at a 3:1 mix; 262K-token context; open-weight, on the Guest plan.
- Qwen3.8 27B
$0.24 input / $2.20 output at list, 14% more than Llama 3.3 70B Instruct at a 3:1 mix; 1M-token context; open-weight, on the Guest plan.
- Mistral Large 3 2512
$0.50 input / $1.50 output at list, 17% more than Llama 3.3 70B Instruct at a 3:1 mix; 262K-token context; open-weight, on the Guest plan.
Data policy for this model
Private: Your prompts and outputs are never used for training and never shared or licensed. For security, abuse prevention and debugging we store request and response content, encrypted, and delete it after 30 days; error details may be kept longer. We also keep usage details (model, tokens, cost, latency, status and time). The model provider may keep requests briefly for abuse monitoring under its own terms.
Research Share: available. Opt in per key and pay less. Data from that key will be used to accelerate AGI and supplied to top frontier labs for AGI purposes, and only for traffic after you opt in.
Regions
Each model is served only in the regions its provider supports. Per-model region details are not published yet.
Built with Llama. Use of this model is subject to its license and acceptable use policy.
Use Llama 3.3 70B Instruct with the OpenAI SDK
Change two settings: point the SDK at https://api.bearer.club/v1 and use your Bearer Club key, then pass meta/llama-3.3-70b-instruct as the model.
curl https://api.bearer.club/v1/chat/completions \ -H "Authorization: Bearer $BEARER_CLUB_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "meta/llama-3.3-70b-instruct", "messages": [{"role": "user", "content": "Hello from the Club!"}] }'import osfrom openai import OpenAIclient = OpenAI( base_url="https://api.bearer.club/v1", api_key=os.environ["BEARER_CLUB_API_KEY"], # your membership card)resp = client.chat.completions.create( model="meta/llama-3.3-70b-instruct", messages=[{"role": "user", "content": "Hello from the Club!"}],)print(resp.choices[0].message.content)import OpenAI from "openai";const client = new OpenAI({ baseURL: "https://api.bearer.club/v1", apiKey: process.env.BEARER_CLUB_API_KEY, // your membership card});const resp = await client.chat.completions.create({ model: "meta/llama-3.3-70b-instruct", messages: [{ role: "user", content: "Hello from the Club!" }],});console.log(resp.choices[0].message.content);The official OpenAI SDKs and most OpenAI-compatible tools, such as Cursor, Cline, Continue, Open WebUI and LiteLLM, work the same way; the name of the base URL setting varies by tool.
Llama 3.3 70B Instruct FAQ
How much does Llama 3.3 70B Instruct cost on Bearer Club?
Llama 3.3 70B Instruct lists at $0.59 input and $0.79 output per 1M tokens. Members pay $0.5015 / $0.6715 with a Private key and $0.472 / $0.632 with Research Share; Executives pay $0.4425 / $0.5925 and $0.413 / $0.553. Guests pay $0.5605 / $0.7505 with Research Share.
Can Guests use Llama 3.3 70B Instruct?
Yes. Llama 3.3 70B Instruct is open-weight, so Guests can call it with Research Share at $0.5605 input and $0.7505 output per 1M tokens (5% below list). There is no membership fee, but API calls are paid from a prepaid balance, so add credit first. Signed-in users can also try it free in the Playground.
When does Member pay for itself on Llama 3.3 70B Instruct?
Member ($199 a year) pays for itself above about $111 a month of Llama 3.3 70B Instruct spend at list price with a Private key, or $82.92 a month with Research Share. The fee is shared across every model you call, so spend on other models counts too.
What context window does Llama 3.3 70B Instruct support?
131,072 tokens, roughly 98,000 English words. The prompt and the answer together have to fit in it.
What is the model id for Llama 3.3 70B Instruct on Bearer Club?
Use meta/llama-3.3-70b-instruct as the model in requests to https://api.bearer.club/v1/chat/completions. The same id appears in the https://api.bearer.club/v1/models list.
Further reading
- Replicate alternatives for developers watching token costs
Replicate alternatives compared: Bearer Club gives you Claude, GPT, Llama and DeepSeek on one OpenAI-compatible key at member prices. Verified prices inside.
- OpenAI-compatible API explained: one key for 69 models
OpenAI-compatible API: change base_url and api_key to reach 69 models including GPT-6, Claude, DeepSeek, and Gemini through Bearer Club at member prices.
Discounts are measured against each provider's public list price and vary by model, membership tier and data policy. See Pricing.