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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 modelStep 5 PreviewstepfunRemove
Providerbaidustepfun
Discovery tierBalancedBalanced
AddedNov 18, 2025Sep 20, 2026
Limits
Context window128K1MBest
Max output16.38K65.54KBest
Average output1.1K tokens1.5K tokens
Pricing, USD per 1M tokens
Input$1.00$1.00
Output$3.50$2.70Best
Cache read—$0.05
Performance
Request success (24h)—100.0%
Benchmark indexes
Intelligence Index—43.7
Capabilities
ReasoningYesYes
ToolsNoYes
VisionYesYes
Structured outputNoYes
Video inputNoYes
Parallel toolsNoYes
Reasoning effort—low, medium, high

Public evaluations

Benchmarks

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

  • Ernie 5.0 Thinking Preview
  • Step 5 Preview

Intelligence Index

  • Ernie 5.0 Thinking Preview—
  • Step 5 Preview43.7
3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Ernie 5.0 Thinking Preview: —
    • Step 5 Preview: 51.0%

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Ernie 5.0 Thinking Preview: —
    • Step 5 Preview: 17.7%

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Ernie 5.0 Thinking Preview: —
    • Step 5 Preview: 1,423 Elo

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Ernie 5.0 Thinking Preview: —
    • Step 5 Preview: 1,587 Elo

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Ernie 5.0 Thinking Preview: —
    • Step 5 Preview: 14.8%

  • AA-LCRv1.1

    Reasoning across long documents

    • Ernie 5.0 Thinking Preview: —
    • Step 5 Preview: 88.3%

  • MLCR-AA

    Long-context reasoning over medical records

    • Ernie 5.0 Thinking Preview: —
    • Step 5 Preview: 18.3%

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Ernie 5.0 Thinking Preview: —
    • Step 5 Preview: 46.5%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Ernie 5.0 Thinking Preview: —
    • Step 5 Preview: 33.3%

  • SciCode

    Scientific computing in Python

    • Ernie 5.0 Thinking Preview: —
    • Step 5 Preview: 58.9%

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Ernie 5.0 Thinking Preview: —
    • Step 5 Preview: 88.3%

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

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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