baidu · Balanced
Ernie 5.0 Thinking Preview
ERNIE 5.0 Thinking is Baidu's next-generation step-by-step reasoning model, providing stronger logical thinking, code generation, and tool-use capabilities with explicit thinking traces. ⚠️ Note: This model routes through Baidu, a Chinese entity - privacy and logging guarantees may be limited.
- Reasoning
- Vision
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $1.00
- Output
- $3.50
Reference prices as published by the model provider. API example
Specifications
- Context window
- 128K
- Max output
- 16.4K
- Average output (7 days)
- 1.1K tokens
- Longer than 74% of 468 models
Side by side
Ernie 5.0 Thinking Preview compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| Ernie 5.0 Thinking PreviewbaiduThis model | ERNIE 5.1 ThinkingbaiduRemove | |
|---|---|---|
| Provider | baidu | baidu |
| Discovery tier | Balanced | Balanced |
| Added | Nov 18, 2025 | May 10, 2026 |
| Limits | ||
| Context window | 128KBest | 119K |
| Max output | 16.38K | 64KBest |
| Average output | 1.1K tokens | — |
| Pricing, USD per 1M tokens | ||
| Input | $1.00 | $0.75Best |
| Output | $3.50 | $3.00Best |
| Cache read | — | $0.75 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Vision | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "ernie-5.0-thinking-preview",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="ernie-5.0-thinking-preview",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)baidu
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