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baidu · Balanced

Ernie 5.0 Thinking Preview

Added Nov 18, 2025

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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.

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Ernie 5.0 Thinking PreviewbaiduThis modelQwen 3.8 27B Uncensored Fast by HeabsyheabsyRemove
Providerbaiduheabsy
Discovery tierBalancedBalanced
AddedNov 18, 2025Oct 16, 2026
Limits
Context window128K524.29KBest
Max output16.38K235.93KBest
Average output1.1K tokens1.5K tokens
Pricing, USD per 1M tokens
Input$1.00$1.00
Output$3.50$3.00Best
Cache read—$0.22
Performance
Throughput—187.5 tok/s
Time to first token—2.2 s
Request success (24h)—99.5%
Capabilities
ReasoningYesYes
ToolsNoYes
VisionYesYes
Reasoning effort—none, high

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.

Read the quickstart
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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