Baidu Ernie 4.5 300B A47b Paddle

Novita AI chat

Baidu Ernie 4.5 300B A47b Paddle is a Novita AI chat model.It supports a 123,000-token context windowwith up to 12,000 output tokens.Input is priced at $0.280/M tokens and output at $1.10/M tokens. Route Baidu Ernie 4.5 300B A47b Paddle via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: litellm Last verified: May 12, 2026 View source ↗
Cost calculator

Estimate Baidu Ernie 4.5 300B A47b Paddle spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
0123,000
400
012,000
5,000
01,000,000
Per request
$0.001280
in $0.000840 · out $0.000440
Per day
$6.40
5,000 requests
Per month
$195
152,188 requests

Estimate uses $0.2800/M input · $1.10/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 $0.280/M
Output $1.10/M

Limits

Context window
123,000 tokens
Max input
123,000 tokens
Max output
12,000 tokens
Modalities
text

Capabilities

  • Function calling — not advertised
  • 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 ✓ supported
  • Prompt caching — not advertised
  • Reasoning — not advertised

Where it's strong

Watch out for

  • !agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback

Benchmarks pending

We haven't logged public benchmark scores for Baidu Ernie 4.5 300B A47b Paddle yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Baidu Ernie 4.5 300B A47b Paddle 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.

SDK
Native Future AGI client (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.
# Baidu Ernie 4.5 300B A47b Paddle 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="novita-ai/baidu-ernie-4-5-300b-a47b-paddle",
    messages=[{"role": "user", "content": "Hello, Baidu Ernie 4.5 300B A47b Paddle!"}],
)

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="novita-ai/baidu-ernie-4-5-300b-a47b-paddle",
    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"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

Compare with similar models

Baidu Ernie 4.5 300B A47b Paddle 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 Baidu Ernie 4.5 300B A47b Paddle cost?

Input is priced at $0.280 per 1M tokens and output at $1.10 per 1M tokens (Novita AI, last verified May 12, 2026).

What is the context window of Baidu Ernie 4.5 300B A47b Paddle?

Baidu Ernie 4.5 300B A47b Paddle supports a 123,000-token context window with up to 12,000 output tokens.

Does Baidu Ernie 4.5 300B A47b Paddle support function calling?

Baidu Ernie 4.5 300B A47b Paddle does not currently advertise function-calling support. For agentic workloads, prefer a tool-calling-capable model and route via Agent Command Center for fallback.

Is Baidu Ernie 4.5 300B A47b Paddle good for production?

Baidu Ernie 4.5 300B A47b Paddle is best evaluated against your own production traces. Pipe traffic through Agent Command Center to compare it head-to-head against alternatives in shadow mode.

How can I route to Baidu Ernie 4.5 300B A47b Paddle 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 Baidu Ernie 4.5 300B A47b Paddle

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.