Baidu Ernie 4.5 VL 28B A3b Thinking

Novita AI chat

Baidu Ernie 4.5 VL 28B A3b Thinking is a Novita AI chat model.It supports a 131,072-token context windowwith up to 65,536 output tokens.Input is priced at $0.390/M tokens and output at $0.390/M tokens. Capabilities include function calling, vision, reasoning. Route Baidu Ernie 4.5 VL 28B A3b Thinking 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 Thinking spend

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

~3K in / ~400 out · 5K req/day
3,000
0131,072
400
065,536
5,000
01,000,000
Per request
$0.001326
in $0.001170 · out $0.000156
Per day
$6.63
5,000 requests
Per month
$202
152,188 requests

Estimate uses $0.3900/M input · $0.3900/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 $0.390/M
Output $0.390/M

Limits

Context window
131,072 tokens
Max input
131,072 tokens
Max output
65,536 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 ✓ supported
  • 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

  • No major caveats flagged from public spec.

Benchmarks pending

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

Try it

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

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-thinking",
    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 Thinking 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 Thinking cost?

Input is priced at $0.390 per 1M tokens and output at $0.390 per 1M tokens (Novita AI, last verified May 12, 2026).

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

Baidu Ernie 4.5 VL 28B A3b Thinking supports a 131,072-token context window with up to 65,536 output tokens.

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

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

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

Baidu Ernie 4.5 VL 28B A3b Thinking is well-suited for parallel tool calls — only 21% of chat models on Future AGI advertise this.

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

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