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baidu · Balanced

ERNIE 5.1 Thinking

Added May 10, 2026

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Use in the app

ERNIE 5.1 Thinking is the latest Wenxin model with explicit reasoning enabled for harder planning, coding, math, and agentic tasks. ⚠️ Note: privacy and logging guarantees may be limited.

  • Reasoning
Input
Text
Output
Text
Discovery tier
Balanced

Pricing

USD per 1M tokens
Input
$0.75
Output
$3.00
Cache read
$0.75

Reference prices as published by the model provider. API example

Specifications

Context window
119K
Max output
64K

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ERNIE 5.1 Thinking compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

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ERNIE 5.1 ThinkingbaiduThis modelLongCat 2.5 PreviewlongcatRemove
Providerbaidulongcat
Discovery tierBalancedBalanced
AddedMay 10, 2026Sep 27, 2026
Limits
Context window119K1MBest
Max output64K131.07KBest
Pricing, USD per 1M tokens
Input$0.75$0.75
Output$3.00$2.95Best
Cache read$0.75$0.015Best
Performance
Request success (24h)—99.7%
Capabilities
ReasoningYesYes
ToolsNoYes
VisionNoYes
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.

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-5.1:thinking",
    "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-5.1:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

baidu

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