inclusionAI

Ling 3.0 Flash

inclusionai/ling-3.0-flash
Model weightsReleased Jul 23, 2026Open Weights
ThinkingToolsopen weights

*Ling-3.0-flash* is a *124B-parameter Mixture-of-Experts (MoE) model*, with approximately *5.1B parameters activated per token*. The model is designed with *token efficiency and production-scale agentic inference* as key priorities, enabling developers...

Cost / 1M tokens

Very low usage

$0.021

input

$0.0042

cached input

$0.063

output

Context Window

262K

Up to 33K max output

Modalities

text → text

Other tokenizer

Quickstart & API

inclusionai/ling-3.0-flash
Open the model picker in ChatOSS Desktop (Code, Kanban, or Chat) and select or paste this model ID.

Best for & Strengths

Key Strengths

Open weightsExtended reasoningTool & agent callingLong context window

Recommended Workloads in ChatOSS

  • Coding agents
  • Complex reasoning & debugging
  • Open-source AI workflows
Available in ChatOSS Code, Kanban Orchestrate, and Chat modes via Plus, Max, or BYOK.

Verified Evaluations

Benchmarks & Frontier Comparison

How Ling 3.0 Flash compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.

View full Top 40 Leaderboard →
Benchmark (Metric)Ling 3.0 FlashDeepSeek V4.1 FlashGLM 5.3Kimi K3.1 ProClaude Opus 5.5
Agentic & Software Engineering
ChatOSS Agentic Coding Index (%)—63.2%58.3%65%74.1%
SWE-Bench Verified (%)—91.5%95.4%94.8%97%
DeepSWE v1.1 (Pass@1 %)—77%69%73.5%74.2%
Vibe Code Bench v1.1 (%)—87.7%78.1%88.4%90.3%
Terminal-Bench 4.0 (%)—42.3%42%46.2%65.2%
Code Migration (%)—45.6%44.2%52%66.7%
Intelligence & Token Economics
Artificial Analysis Intelligence Index (0–100)20.139.544.855.157.6
Input Price (/ 1M tokens)$0.021$0.15$1.40$2.00$4.00
Output Price (/ 1M tokens)$0.063$0.60$4.40$10.00$20.00

Artificial Analysis Intelligence Index

Artificial Analysis

20.1

Active Provider Endpoints (2)

Upstream inference providers serving Ling 3.0 Flash, with per-provider pricing, context limits, quantization, and 24-hour uptime.

ProviderInput / 1MOutput / 1MCache Read / 1MContextMax OutputQuantizationUptime (24h)
Novitacache
novita
$0.021$0.063$0.0042262K33K—100.0%
DeepInfracache
deepinfra/bf16
$0.06$0.18$0.012131K33Kbf1682.7%

Supported API Parameters

Parameters accepted by this model when called through ChatOSS or OpenRouter.

frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_logprobstop_p

Compare Similar Models

Browse all models →