78% offLlama 3.3 70B API
Meta·Text· 100.0% success (7d)
Llama 3.3 70B
Pricing
Cheapest live price, per 1 million tokens.
Input / 1M tokens
$0.100 OpenRouter
Output / 1M tokens
$0.320 OpenRouter
Cache read / 1M
Repeated prompt prefixes
Cache read is the discounted rate for repeated prompt prefixes (system prompts, agent context).
Capabilities · 6
Specifications
- Context window
- 128K
- Max output
- 4K
- Type
- Text
- Creator
- Meta
- Live sellers
- 38
- Requests / 24h
- 17,505
Price history · 60 days
Estimated monthly cost
30 days at the cheapest live price.
Quick start
OpenAI-compatible — change the base URL and key. Get a key from the dashboard.
from openai import OpenAI
client = OpenAI(
base_url="https://api.qubax.ai/v1",
api_key="YOUR_QUBAX_API_KEY",
)
response = client.chat.completions.create(
model="llama-3.3-70b-instruct",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)About Llama 3.3 70B
Llama 3.3 70B is a language model developed by Meta. It's particularly well-suited for orchestrating tool-using agents that call APIs and external services, producing structured outputs for reliable data extraction and handling large contexts of up to 128K tokens. Its 128K-token context window means you can pass in entire documents, codebases, or conversation histories without losing context. It can write up to 4K tokens in a single response.
As of Nov 4, 2026, Llama 3.3 70B costs $0.022 per 1M input tokens and $0.070 per 1M output tokens on Qubax, versus $0.100 / $0.320 on OpenRouter (78% less on input). A typical 1,000 chat requests (2K tokens in, 500 out) come to about $0.08. Measured availability over the last 7 days: 100.0%. 38 independent compute providers currently serve it, so requests fail over automatically. It handled 17,505 requests on Qubax in the last 24 hours. Pay with USDC, USDT, BTC, ETH or 350+ other coins — no credit card required.
Similar-priced alternatives
Frequently asked questions
How much does the Llama 3.3 70B API cost?
On Qubax, Llama 3.3 70B costs $0.022 per 1M input tokens and $0.070 per 1M output tokens. This is 78% cheaper than OpenRouter's price of $0.100 per 1M input tokens.
Is the Llama 3.3 70B API compatible with OpenAI?
Yes. Qubax provides an OpenAI-compatible API. You can use Llama 3.3 70B as a drop-in replacement by changing your base URL to https://api.qubax.ai/v1 and using your Qubax API key. It works with Cline, Cursor, OpenCode, Hermes Agent, and any tool that supports OpenAI APIs.
Why is Llama 3.3 70B cheaper on Qubax than OpenRouter?
Qubax sources AI inference from an open compute marketplace on the Base blockchain where GPU providers compete on price. We pass the savings to you — 78% cheaper than OpenRouter's price for Llama 3.3 70B.
How do I pay for Llama 3.3 70B API usage?
Qubax uses prepaid crypto credits. Top up with USDC, USDT, BTC, ETH, SOL or 350+ other coins and your balance is deducted as you use the API. No credit card or KYC required.
What is the context window of Llama 3.3 70B?
Llama 3.3 70B supports a context window of 128K tokens, allowing you to process large documents, codebases, or long conversations in a single request.
What can I build with Llama 3.3 70B?
You can use Llama 3.3 70B to build autonomous agents that call external tools and APIs, generate structured JSON output for data pipelines and process long documents and entire codebases. Because it's served through Qubax's OpenAI-compatible API, integration into existing apps, agents, or workflows takes just a few lines of code.
How fast and reliable is Llama 3.3 70B on Qubax?
Measured time to first token (p95) on Qubax is 2.3s. Its 7-day success rate is 100.0%. Responses stream token by token. 38 sellers serve it, so if one is slow or down the request moves to the next.
Llama 3.3 70B vs DeepSeek V4 Flash: which should I choose?
Llama 3.3 70B by Meta and DeepSeek V4 Flash by DeepSeek are both strong models in a similar price tier. Llama 3.3 70B is well-suited for general-purpose language tasks. DeepSeek V4 Flash comes from a different lab and may have different strengths depending on your workload. On Qubax, Llama 3.3 70B starts at $0.022/1M input tokens while DeepSeek V4 Flash comes in at $0.021/1M, so DeepSeek V4 Flash may be worth considering if you need to minimize per-token cost. Both are available on Qubax with crypto payments and OpenAI-compatible APIs, so you can try each and switch freely.
Can I use Llama 3.3 70B for commercial projects?
Yes. Llama 3.3 70B on Qubax can be used for commercial purposes. You own the outputs you generate. Qubax provides the API infrastructure — you bring your use case.
Why use Llama 3.3 70B on Qubax?
78% cheaper
Providers compete on price — you get the cheapest healthy seller.
Pay with crypto
350+ coins (BTC, ETH, SOL, USDT, USDC). No card, no KYC.
OpenAI & Anthropic compatible
Drop-in base URL. Works with Cline, Cursor, Claude Code, OpenAI and Anthropic SDKs.