Llama 4 405B API
Meta's largest open-weight model with 405 billion parameters. Near-frontier performance on reasoning and coding tasks. Available through AI API Hub with pay-as-you-go pricing.
💰 Save up to 70% vs official Meta pricingLlama 4 405B — cheaper than the official Meta API
Access Llama 4 405B through AI API Hub and pay less per token. Same OpenAI-compatible endpoint, lower cost.
Technical Specifications
| Provider | Meta |
| Model Family | Llama 4 405B |
| Release Date | 2026-05 |
| Context Window | 256K |
| Max Output Tokens | 32,768 |
| Input Price | $1.30 / 1M tokens |
| Output Price | $5.00 / 1M tokens |
| Vision Support | Yes ✓ |
| Function Calling | No |
| JSON Mode | No |
| Streaming | Yes ✓ |
| Fine Tuning | Not Available |
| Status | Active ✓ |
Overview
Llama 4 405B is Meta's current llama model, released in 2026-05. Meta's largest open-weight model with 405 billion parameters. Near-frontier performance on reasoning and coding tasks. Available through AI API Hub with pay-as-you-go pricing.
For developers, the headline numbers are a 256K context window and up to 32,768 output tokens per response — enough headroom for open-weight and 405b parameters without chunking your input. Priced at $1.30/1M input and $5.00/1M output, it sits in the mid-range — a sensible default for most production workloads.
On the capability side, Llama 4 405B exposes 5 features: Reasoning, Coding, Multilingual, Vision, Streaming. Note that fine-tuning isn't supported — you'll work with the base model. Vision support means you can pass images alongside text, handy for document parsing or UI automation.
The practical appeal of routing Llama 4 405B through AI API Hub is simplicity: one OpenAI-compatible endpoint, USDT & USDC payments, no credit card, and you're calling the API in under 30 seconds — just swap your base URL.
What Makes Llama 4 405B Different
How Llama 4 405B is used
Llama 4 405B is deployed for problems that need structured thinking — math derivations, logic puzzles, scientific analysis, and multi-step research synthesis. The reasoning chain adds latency, so reserve it for tasks where a standard chat model produces shallow or incorrect answers. For routine Q&A and summarization, a cheaper sibling model is more cost-effective.
Pricing position within Meta
Llama 4 405B is the only active model from Meta, priced at $1.30/1M input and $5.00/1M output. There's no sibling to compare within the lineup.
Llama 4 405B's role in the lineup
Within Meta's lineup, Llama 4 405B is a mid-tier option — balanced between cost and capability. It's a standalone variant in its family. This makes it a safe default for production workloads where you're not sure which tier to pick.
Real-world use cases
Real-world deployments: math problem solving, scientific research synthesis, multi-step logical analysis, and structured decision support systems. Llama 4 405B excels where standard chat models produce shallow answers — the reasoning chain catches edge cases that faster models miss.
vs sibling models
Llama 4 405B has no active siblings in Meta's lineup — it's the sole active model from this provider.
API Examples
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.apiyihe.org/v1"
)
response = client.chat.completions.create(
model="llama-4-405b",
messages=[
{"role": "user", "content": "Hello"}
]
)
print(response.choices[0].message.content)JavaScript / Node.js
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.API_KEY,
baseURL: "https://api.apiyihe.org/v1"
});
const response = await client.chat.completions.create({
model: "llama-4-405b",
messages: [
{ role: "user", content: "Hello" }
]
});
console.log(response.choices[0].message.content);cURL
curl https://api.apiyihe.org/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "llama-4-405b",
"messages": [
{"role": "user", "content": "Hello"}
]
}'Supported Features
| Vision / Image Input | ✅ Supported |
| Audio / Voice Input | ❌ Not Available |
| Function Calling | ❌ Not Available |
| JSON Mode | ❌ Not Available |
| Streaming | ✅ Supported |
| Fine-Tuning | ❌ Not Available |
| Multimodal | ❌ Not Available |
Benchmark Scores
| Benchmark | Score |
|---|---|
| MMLU | Not Publicly Available |
| GPQA | Not Publicly Available |
| SWE-Bench | Not Publicly Available |
| HumanEval | Not Publicly Available |
| GSM8K | Not Publicly Available |
| MATH | Not Publicly Available |
| MMMU | Not Publicly Available |
Pricing History
Llama 4 405B was released in 2026-05 by Meta and is currently publicly available via AI API Hub.
Current Pricing: $1.30 per 1M input tokens · $5.00 per 1M output tokens. Pay-as-you-go with no minimum commitment.
Pricing Model: Token-based billing (pay per use). No subscription fees. No hidden costs.
💡 Meta occasionally updates pricing. AI API Hub reflects current pricing in real-time. All prices in USD. Pay with USDT or USDC — no currency conversion fees.
Compare Alternatives
Frequently Asked Questions
What is Llama 4 405B?
Llama 4 405B is Meta's current llama model. Meta's largest open-weight model with 405 billion parameters. Near-frontier performance on reasoning and coding tasks. Available through AI API Hub with pay-as-you-go pricing. It offers a 256K context window and supports Reasoning, Coding, Multilingual. You can access it through AI API Hub using USDT or USDC — no credit card required.
How much does Llama 4 405B cost?
Llama 4 405B is priced at $1.30 per 1M input tokens and $5.00 per 1M output tokens, billed pay-as-you-go with no minimum. Through AI API Hub you can start with as little as $5 and scale from there.
Llama 4 405B vs GPT-5.5?
They're built for different jobs. Llama 4 405B costs $1.30/1M input with a 256K window; GPT-5.5 runs $5.00/1M input with 256K. Llama 4 405B is the more cost-effective pick and still brings open-weight. See the full side-by-side at /compare/llama-4-405b-vs-gpt-5.5/.
Llama 4 405B context window?
Llama 4 405B has a 256K context window, capable of processing up to 256,000 tokens in a single request. Maximum output tokens: 32,768.
Does Llama 4 405B support function calling?
No, Llama 4 405B does not natively support function calling. For function calling use cases, consider Meta's flagship models.
Is Llama 4 405B multimodal?
Partially — Llama 4 405B supports vision (image input) but not native audio processing.
Llama 4 405B API rate limits?
Llama 4 405B rate limits: 5K RPM. Higher tier plans offer increased throughput. For high-volume production use, consider Meta's faster variant models.
How to access Llama 4 405B API?
Access Llama 4 405B through AI API Hub: (1) Register at api.apiyihe.org/register?aff=8JZC, (2) Deposit USDT/USDC, (3) Get your API key instantly, (4) Use the OpenAI-compatible endpoint https://api.apiyihe.org/v1 with model name "llama-4-405b". Start building in under 30 seconds.