Meta Llama 3.1 405B Instruct
Oracle Cloud chatMeta Llama 3.1 405B Instruct is an Oracle Cloud chat model.It supports a 128,000-token context windowwith up to 4,000 output tokens.Input is priced at $10.68/M tokens and output at $10.68/M tokens. Capabilities include function calling. Route Meta Llama 3.1 405B Instruct via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Meta Llama 3.1 405B Instruct spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $10.68/M input · $10.68/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.
| Input | $10.68/M | |
| Output | $10.68/M |
Limits
- Context window
- 128,000 tokens
- Max input
- 128,000 tokens
- Max output
- 4,000 tokens
- Modalities
- text
Capabilities
- Function calling ✓ supported
- Parallel tool calls — not advertised
- Vision input — not advertised
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output — not advertised
- Prompt caching — not advertised
- Reasoning — not advertised
Where it's strong
- +pricing — cheaper than 91% of priced chat models on Future AGI
Watch out for
- !strict structured output — no JSON-schema enforcement, expect retry loops
Benchmarks pending
We haven't logged public benchmark scores for Meta Llama 3.1 405B Instruct yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Meta Llama 3.1 405B Instruct via Agent Command Center
One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.
agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.# Meta Llama 3.1 405B Instruct via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC
client = AgentCC(
api_key=os.environ["AGENTCC_API_KEY"], # from app.futureagi.com → Settings → API Keys
base_url="https://gateway.futureagi.com/v1",
)
resp = client.chat.completions.create(
model="oci/meta-llama-3-1-405b-instruct",
messages=[{"role": "user", "content": "Hello, Meta Llama 3.1 405B Instruct!"}],
)
print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")
# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
model="oci/meta-llama-3-1-405b-instruct",
messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost: ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache: ", raw.headers.get("x-agentcc-cache"))AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗Same model on other providers
meta-llama-3-1-405b-instruct is also available via 2 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.
| Provider | Input / 1M | Output / 1M | Verified |
|---|---|---|---|
| Azure AI Foundry | $5.33/M | $16.00/M | May 12, 2026 |
| SambaNova | $5.00/M | $10.00/M | May 12, 2026 |
Compare with similar models
Meta Llama 3.1 405B Instruct doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.
FAQ
How much does Meta Llama 3.1 405B Instruct cost?
Input is priced at $10.68 per 1M tokens and output at $10.68 per 1M tokens (Oracle Cloud, last verified May 12, 2026).
What is the context window of Meta Llama 3.1 405B Instruct?
Meta Llama 3.1 405B Instruct supports a 128,000-token context window with up to 4,000 output tokens.
Does Meta Llama 3.1 405B Instruct support function calling?
Yes — Meta Llama 3.1 405B Instruct supports function (tool) calling.
Is Meta Llama 3.1 405B Instruct good for production?
Meta Llama 3.1 405B Instruct is well-suited for pricing — cheaper than 91% of priced chat models on Future AGI. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.
How can I route to Meta Llama 3.1 405B Instruct with fallback?
Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.
Useful links for Meta Llama 3.1 405B Instruct
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.