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inclusionai · Open weights

Ling 3.1 Flash

Added Sep 30, 2026Open weights

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Use in the app

Ling 3.1 Flash is inclusionAI's hybrid reasoning model for coding, tool use, planning, and long-context agent workflows. It has 560B total parameters with 25B active parameters per token. Thinking is enabled by default and can be turned off in settings.

  • Reasoning
  • Tools
  • Structured output
Input
Text
Output
Text
Reasoning effort
none · low · medium · high
Discovery tier
Open weights

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)
7.8K tokens
Longer than 99% of 465 models

Side by side

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TryClaude 4.7 Opus ThinkingGLM 5.3 Flash TEEGPT 5.6 TerraAll 3

Public evaluations

Benchmarks

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

Intelligence Index

41.1

Better than 86% of 326 scored models

3.8Catalog models by score55.1

Agentic work

  • AutomationBench-AA

    61.7%

    Workflow automation, penalized for guardrail violations

    Better than 86% of 173 scored models

  • AutomationBench-AA tasks completed

    23.6%

    Workflows finished end to end without a guardrail violation

    Better than 69% of 173 scored models

  • AA-Briefcasev1.1

    1,397 Elo

    Agentic knowledge work, rated head to head

    Better than 75% of 166 scored models

  • GDPval-AAv2.1

    1,617 Elo

    Economically valuable occupational tasks, rated head to head

    Better than 87% of 187 scored models

Document reasoning

  • GDP.pdf

    10.0%

    Professional reasoning over PDF documents, all-pass rate

    Better than 38% of 171 scored models

  • AA-LCRv1.1

    83.0%

    Reasoning across long documents

    Better than 90% of 309 scored models

  • MLCR-AA

    12.2%

    Long-context reasoning over medical records

    Better than 47% of 121 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    39.4%

    Expert-level questions across academic fields

    Better than 75% of 323 scored models

Coding

  • Terminal-Benchv4.0

    33.3%

    Practical software engineering in a terminal

    Better than 80% of 171 scored models

  • SciCode

    54.1%

    Scientific computing in Python

    Better than 69% of 174 scored models

Legacy evaluations

  • AA-LCR (unversioned)

    83.0%

    Long-context reasoning, earlier grading

    Better than 90% of 309 scored models

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.

Throughput
91.2 tok/s
Faster than 58% of 250 models
Time to first token
3.2 s
Quicker than 55% of 250 models
Prompt cache hits
80.7%
About $0.0266 per 1M input tokens with caching
Request success (24h)
100.0%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 88.3%
  • 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-3.1-flash",
    "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-3.1-flash",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

inclusionai

Other inclusionai models, starting with the same family.