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inclusionai · Efficient

Ling 3.0 Flash Thinking

Added Jul 23, 2026

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Ling-3.0-flash Thinking enables visible reasoning on inclusionAI's token-efficient 124B-parameter Mixture-of-Experts model for harder coding, tool use, planning, and production-scale agent workflows.

  • Reasoning
  • Tools
Input
Text
Output
Text
Reasoning effort
none · minimal · low · medium · high · xhigh
Discovery tier
Efficient

Pricing

USD per 1M tokens
Input
$0.075
Output
$0.22
Cache read
$0.015

Reference prices as published by the model provider. API example

Specifications

Context window
262.1K
Max output
32.8K
Average output (7 days)
243 tokens
Longer than 25% of 468 models

Side by side

Ling 3.0 Flash Thinking compared

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

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Ling 3.0 Flash ThinkinginclusionaiThis modelOpenAI o3OpenAIRemove
ProviderinclusionaiOpenAI
Discovery tierEfficientBalanced
AddedJul 23, 2026Apr 16, 2025
Limits
Context window262.14KBest200K
Max output32.77K100KBest
Average output243 tokens205 tokens
Pricing, USD per 1M tokens
Input$0.075Best$2.00
Output$0.22Best$8.00
Cache read$0.015Best$1.00
Performance
Request success (24h)100.0%—
Benchmark indexes
Intelligence Index20.120.2Best
Coding Index50.6—
Math Index—88.3
Capabilities
ReasoningYesYes
ToolsYesNo
Reasoning effortnone, minimal, low, medium, high, xhighlow, medium, high

Public evaluations

Benchmarks

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

  • Ling 3.0 Flash Thinking
  • OpenAI o3

Intelligence Index

  • Ling 3.0 Flash Thinking20.1
  • OpenAI o320.2

Ling 3.0 Flash Thinking: Better than 49% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Coding Index

    Composite of the coding evaluations

    • Ling 3.0 Flash Thinking: 50.6
    • OpenAI o3: —

  • Math Index

    Composite of the math evaluations

    • Ling 3.0 Flash Thinking: —
    • OpenAI o3: 88.3

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Ling 3.0 Flash Thinking: 3.2%
    • OpenAI o3: —

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Ling 3.0 Flash Thinking: 0.6%
    • OpenAI o3: —

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Ling 3.0 Flash Thinking: 798 Elo
    • OpenAI o3: —

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Ling 3.0 Flash Thinking: 948 Elo
    • OpenAI o3: —

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Ling 3.0 Flash Thinking: 5.4%
    • OpenAI o3: —

  • AA-LCRv1.1

    Reasoning across long documents

    • Ling 3.0 Flash Thinking: 73.0%
    • OpenAI o3: 74.7%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • Ling 3.0 Flash Thinking: 5.0%
    • OpenAI o3: —

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Ling 3.0 Flash Thinking: 23.7%Top
    • OpenAI o3: 20.1%

  • GPQA Diamond

    Graduate-level science questions

    • Ling 3.0 Flash Thinking: 85.5%Top
    • OpenAI o3: 82.7%

  • MMLU-Pro

    Multi-subject knowledge and reasoning

    • Ling 3.0 Flash Thinking: —
    • OpenAI o3: 85.3%

  • IFBench

    Following precise output instructions

    • Ling 3.0 Flash Thinking: —
    • OpenAI o3: 71.4%

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Ling 3.0 Flash Thinking: 0.0%
    • OpenAI o3: —

  • SciCode

    Scientific computing in Python

    • Ling 3.0 Flash Thinking: 42.0%
    • OpenAI o3: —

  • LiveCodeBench

    Recent competitive programming problems

    • Ling 3.0 Flash Thinking: —
    • OpenAI o3: 80.8%

Math

  • AIME 2025

    Competition mathematics, 2025 problems

    • Ling 3.0 Flash Thinking: —
    • OpenAI o3: 88.3%

  • AIME

    Competition mathematics

    • Ling 3.0 Flash Thinking: —
    • OpenAI o3: 90.3%

  • MATH-500

    Competition math problems

    • Ling 3.0 Flash Thinking: —
    • OpenAI o3: 99.2%

Legacy evaluations

  • Terminal-Bench Hard

    Earlier terminal task suite

    • Ling 3.0 Flash Thinking: —
    • OpenAI o3: 37.1%

  • τ²-Bench Telecom

    Tool use in a customer-support simulation

    • Ling 3.0 Flash Thinking: —
    • OpenAI o3: 80.7%

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Ling 3.0 Flash Thinking: 73.0%
    • OpenAI o3: 74.7%Top

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

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Request success (24h)
100.0%
Reliable
Hourly request success · last 72 hoursLowest hour 100.0%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

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": "inclusionai/ling-3.0-flash:thinking",
    "reasoning_effort": "medium",
    "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="inclusionai/ling-3.0-flash:thinking",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

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