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InclusionAI

Ling 3.1 Flash

Ling 3.1 Flash is a reasoning model from InclusionAI in the Ling 3.1 family. 15 benchmarks count toward its index, in 4 categories.

  • Open weights
  • Reasoning
  • Input: text
  • Released 2026-09
RankedEnough results for an index.
IndexAll categories, out of 100.67.2±7.2Median 51.0
CoverageIndex weight that has results.70%
SpeedOutput tokens per second.81/sMedian 67/s
First tokenSeconds to the first output token.2.2 sMedian 1.3 s
Input / 1MUS dollars per 1M input tokens.$0.045Median $0.60
Output / 1MUS dollars per 1M output tokens.$0.135Median $2.55
ContextMaximum tokens in one request.1MMedian 262K
EloLMArena rating and rank.—Median 1422

Details

From OpenRouter
API IDThe model ID on OpenRouter.
inclusionai/ling-3.1-flash
Max outputMaximum output tokens per request.
262K
Knowledge cutoffLast date of training data.
—
ToolsTool calls on OpenRouter.
Yes
JSON outputOutput follows a given JSON schema.
No
Cache read / 1MUS dollars per 1M cached tokens.
<$0.01
WeightsLink to the published weights.
Hugging Face (opens in a new tab) ↗
RetiresDate OpenRouter removes the model.
—

Where to run

APIs that serve this model.
2 providers
ProviderTypeMaker, cloud, host or router.InputOutputContext
OpenRouterRouter$0.045$0.1351M
Novita AIHost$0.30$0.901M

US dollars per 1M tokens, list price. From models.dev (opens in a new tab) (MIT).

Run locally

572.12B parameters
16-bit
1202.5 GB
8-bit
639.3 GB
4-bit
365.2 GB
Weights
Hugging Face (opens in a new tab) ↗

Memory need with a short context. The 4-bit copy needs more than 128 GB. Compare local models

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.9 counted66.637 / 218
CodingCode writing and repair.2 counted66.930 / 209
ReasoningLogic problems and puzzles.2 counted68.031 / 227
MultimodalTasks with images and text.None counted——
KnowledgeFacts and expert knowledge.2 counted70.419 / 268
MultilingualTasks in many languages.None counted——
InstructionTasks with strict prompt rules.None counted——
MathMath problems.None counted——

Results

15 counted
BenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
BrowseCompAgentic91.7%5 / 63
Artificial Analysis Long Context ReasoningReasoning83.0%18 / 217
GDPval-AA normalizedAgentic55.9%16 / 133
SWE-bench ProCoding68.7%10 / 83
WideResearchAgentic83.3%2 / 16
CyberGymAgentic87.9%4 / 29
Critical Physics TasksReasoning18.0%35 / 214
HealthBench ProfessionalKnowledge65.3%3 / 18
MCP AtlasAgentic83.0%11 / 52
Artificial Analysis Humanity's Last ExamKnowledge39.4%50 / 222
AutomationBenchAgenticAbove fitFar above this model's index.52.5%8 / 32
Artificial Analysis SciCodeCoding54.1%36 / 114
Terminal-Bench 2.1 · BenchLMAgentic81.2%31 / 86
Humanity's Last ExamKnowledge37.4%37 / 77
τ³-Bench Tool-Agent-User EvaluationAgentic47.8%17 / 32
DeepSWEAgentic59.7%42 / 59
Data Research and Analysis with Complex OperationsAgentic85.5%—
SWE-Atlas Codebase QnACoding64.5%—

Sources

BenchLMCC BY-NC 4.0OpenRouterTerms restrict reusemodels.devMIT

History

5 releases
Index67.5 → 67.2
23 Oct 202612 Nov 2026
Output / 1M$0.225 → $0.135
23 Oct 202612 Nov 2026

Questions

How much does Ling 3.1 Flash cost?
$0.045 per 1M input tokens, $0.135 per 1M output tokens.
How good is Ling 3.1 Flash?
Its index is 67.2 out of 100. That is place 33 of 283 ranked models.
What is Ling 3.1 Flash best at?
Knowledge: 70.4 out of 100, place 19 of 268.
How fast is Ling 3.1 Flash?
81 output tokens per second, 2.2 s to the first token.
What is the context window of Ling 3.1 Flash?
1M tokens.
Is Ling 3.1 Flash open source?
Yes. Its weights are published.
When was Ling 3.1 Flash released?
September 2026.

Badge

Ling 3.1 Flash on Inference360: place 33 of 283, index 67.2
HTML
<a href="https://inference360.ai/models/ling-3-1-flash"><img src="https://inference360.ai/badges/ling-3-1-flash.svg" alt="Ling 3.1 Flash on Inference360: place 33 of 283, index 67.2" height="20"></a>
Markdown
[![Ling 3.1 Flash on Inference360: place 33 of 283, index 67.2](https://inference360.ai/badges/ling-3-1-flash.svg)](https://inference360.ai/models/ling-3-1-flash)

Compare with

Kimi K366.9Claude Opus 4.867.7Grok 4.667.8Gemini 3.8 Flash67.8Hy4 preview66.4

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