baidu · Balanced

ERNIE 5.1 Thinking

Added May 10, 2026

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

Side by side

ERNIE 5.1 Thinking compared

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

Limits
	ERNIE 5.1 ThinkingbaiduThis model	ERNIE 5.1baiduRemove
Provider	baidu	baidu
Discovery tier	Balanced	Balanced
Added	May 10, 2026	May 10, 2026
Context window	119K	119K
Max output	64K	64K
Average output	—	1.9K tokens
Pricing, USD per 1M tokens
Input	$0.75	$0.75
Output	$3.00	$3.00
Cache read	$0.75	$0.75
Capabilities
Reasoning	Yes	No
Reasoning effort	—	—

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

ERNIE 5.1 Thinking
ERNIE 5.1

Leaderboard	ERNIE 5.1 Thinking	ERNIE 5.1
Search Overall	Not in top 20	#9 · 1226.7

Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena

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

Other baidu models, starting with the same family.