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inclusionai · Efficient

Ling 3.0 Flash Thinking

Added Jul 23, 2026

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Use in the app

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 modelLing 3.1 FlashinclusionaiRemove
Providerinclusionaiinclusionai
Discovery tierEfficientOpen weights
AddedJul 23, 2026Sep 30, 2026
Limits
Context window262.14K262.14K
Max output32.77K32.77K
Average output243 tokens7.8K tokens
Pricing, USD per 1M tokens
Input$0.075$0.075
Output$0.22$0.22
Cache read$0.015$0.015
Performance
Throughput—94.2 tok/s
Time to first token—4.5 s
Request success (24h)100.0%100.0%
Benchmark indexes
Intelligence Index20.141.1Best
Coding Index50.6—
Capabilities
ReasoningYesYes
ToolsYesYes
Structured outputNoYes
Reasoning effortnone, minimal, low, medium, high, xhighnone, low, 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
  • Ling 3.1 Flash

Intelligence Index

  • Ling 3.0 Flash Thinking20.1
  • Ling 3.1 Flash41.1

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
    • Ling 3.1 Flash: —

Agentic work

  • AutomationBench-AA

    Workflow automation, penalized for guardrail violations

    • Ling 3.0 Flash Thinking: 3.2%
    • Ling 3.1 Flash: 61.7%Top

  • AutomationBench-AA tasks completed

    Workflows finished end to end without a guardrail violation

    • Ling 3.0 Flash Thinking: 0.6%
    • Ling 3.1 Flash: 23.6%Top

  • AA-Briefcasev1.1

    Agentic knowledge work, rated head to head

    • Ling 3.0 Flash Thinking: 798 Elo
    • Ling 3.1 Flash: 1,397 EloTop

  • GDPval-AAv2.1

    Economically valuable occupational tasks, rated head to head

    • Ling 3.0 Flash Thinking: 948 Elo
    • Ling 3.1 Flash: 1,617 EloTop

Document reasoning

  • GDP.pdf

    Professional reasoning over PDF documents, all-pass rate

    • Ling 3.0 Flash Thinking: 5.4%
    • Ling 3.1 Flash: 10.0%Top

  • AA-LCRv1.1

    Reasoning across long documents

    • Ling 3.0 Flash Thinking: 73.0%
    • Ling 3.1 Flash: 83.0%Top

  • MLCR-AA

    Long-context reasoning over medical records

    • Ling 3.0 Flash Thinking: 5.0%
    • Ling 3.1 Flash: 12.2%Top

Reasoning and knowledge

  • Humanity’s Last Exam

    Expert-level questions across academic fields

    • Ling 3.0 Flash Thinking: 23.7%
    • Ling 3.1 Flash: 39.4%Top

  • GPQA Diamond

    Graduate-level science questions

    • Ling 3.0 Flash Thinking: 85.5%
    • Ling 3.1 Flash: —

Coding

  • Terminal-Benchv4.0

    Practical software engineering in a terminal

    • Ling 3.0 Flash Thinking: 0.0%
    • Ling 3.1 Flash: 33.3%Top

  • SciCode

    Scientific computing in Python

    • Ling 3.0 Flash Thinking: 42.0%
    • Ling 3.1 Flash: 54.1%Top

Legacy evaluations

  • AA-LCR (unversioned)

    Long-context reasoning, earlier grading

    • Ling 3.0 Flash Thinking: 73.0%
    • Ling 3.1 Flash: 83.0%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)

inclusionai

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