Baidu Ernie 4.5 VL 28B A3b

Novita AI chat

Baidu Ernie 4.5 VL 28B A3b is a Novita AI chat model.It supports a 30,000-token context windowwith up to 8,000 output tokens.Input is priced at $0.140/M tokens and output at $0.560/M tokens. Capabilities include function calling, vision, reasoning. Route Baidu Ernie 4.5 VL 28B A3b 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 VL 28B A3b spend

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

~3K in / ~400 out · 5K req/day
3,000
030,000
400
08,000
5,000
01,000,000
Per request
$0.000644
in $0.000420 · out $0.000224
Per day
$3.22
5,000 requests
Per month
$98.01
152,188 requests

Estimate uses $0.1400/M input · $0.5600/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 $0.140/M
Output $0.560/M

Limits

Context window
30,000 tokens
Max input
30,000 tokens
Max output
8,000 tokens
Modalities
vision, text

Capabilities

  • Function calling ✓ supported
  • Parallel tool calls ✓ supported
  • Vision input ✓ supported
  • Audio input — not advertised
  • Audio output — not advertised
  • PDF input — not advertised
  • Streaming ✓ supported
  • Structured output — not advertised
  • Prompt caching — not advertised
  • Reasoning ✓ supported

Where it's strong

  • +parallel tool calls — only 21% of chat models on Future AGI advertise this

Watch out for

  • !limited context — 30,000-token window is in the bottom quartile; not ideal for long documents or large RAG
  • !strict structured output — no JSON-schema enforcement, expect retry loops

Benchmarks pending

We haven't logged public benchmark scores for Baidu Ernie 4.5 VL 28B A3b yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Baidu Ernie 4.5 VL 28B A3b 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 VL 28B A3b 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-vl-28b-a3b",
    messages=[{"role": "user", "content": "Hello, Baidu Ernie 4.5 VL 28B A3b!"}],
)

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-vl-28b-a3b",
    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 VL 28B A3b 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 VL 28B A3b cost?

Input is priced at $0.140 per 1M tokens and output at $0.560 per 1M tokens (Novita AI, last verified May 12, 2026).

What is the context window of Baidu Ernie 4.5 VL 28B A3b?

Baidu Ernie 4.5 VL 28B A3b supports a 30,000-token context window with up to 8,000 output tokens.

Does Baidu Ernie 4.5 VL 28B A3b support function calling?

Yes — Baidu Ernie 4.5 VL 28B A3b supports function (tool) calling, including parallel tool calls.

Is Baidu Ernie 4.5 VL 28B A3b good for production?

Baidu Ernie 4.5 VL 28B A3b is well-suited for parallel tool calls — only 21% of chat models on Future AGI advertise this. Consider alternatives if you need limited context — 30,000-token window is in the bottom quartile; not ideal for long documents or large RAG.

How can I route to Baidu Ernie 4.5 VL 28B A3b 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 VL 28B A3b

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