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Ling 3.0 Flash VL (inclusionAI)

inclusionAIReleased Sep 4, 2026Open weights · MITling-3.0-flash-vl

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Reasoning
yes
Context
131K tokens
Max output
32k tokens
Input
text, image, video
API features
tools, structured outputs, JSON mode, seed

Read Oct 23, 06:00 UTC from the hosts' published offers and OpenRouter, spec sheet from inclusionAI

Lowest input, per M$0.06at DeepInfra
Cheapest cache, per M$0.012at DeepInfra
Fastest43 tok/sat DeepInfra, on OpenRouter
Providers2serve this version

Run it yourself

open weights, MIT · fits 4 of the 6 workstations in our guideSelf-host guide ›
Parameters
124B
5.5B active per token (MoE)
Memory needed
74 GB
in INT4 · 149 GB in INT8
Smallest cloud setup
A100
80 GB · $1.19/h, about $869 a month
Worth it above
4B tokens
a month, against the cheapest API at $0.24 per M
QuantizationMemorySmallest cloud GPUQuality
INT4 (Q4)74 GBA100 · $1.19/hsmallest footprint, minor quality loss
INT8 (Q8)149 GB2× H100 · $4.30/hnear-lossless
FP16 (full)298 GB4× H100 · $8.60/hreference quality

At home: in INT4 it fits a Mac Studio M5 Ultra (96 GB unified), about $5,499 once, or $0.2092/h over 3 years, electricity aside; it pays for itself after about 23B tokens against the cheapest API.

Memory ≈ parameters × bytes per parameter × 1.2 · cloud price: on-demand rate, running 24/7 · builds: GGUF, AWQ, MLX, GPTQ, Ollama · break-even calculator

Sorted by cache price
ProviderInputOutputCache ↑tok/sFirst tokenUptime 24hChecked
DeepInfrafp16 · 128K ctx · 32K out$0.06$0.18$0.012431.34 s99.8%Oct 23
Novita AIprecision not stated · 32K out$0.075$0.22$0.015———Oct 23

2 of 2 providers · prices per million tokens, read Oct 23, 06:00 UTC · speed: OpenRouter, median of the last 30 min, read Oct 23, 06:00 UTC · uptime: OpenRouter, last 24 h · under each host: weights precision, context and max output as served, the maker's value in brackets when the host's differs

ProviderWeightsContextMax outputToolsStructured outputsReasoning
DeepInfrafp16128K32Kyesyesyes
Novita AInot stated by the hostunder review32K———

Weights, context and max output: read at each host's own catalogue or docs where its terms allow, otherwise as the host declares to OpenRouter; hover a cell for its source and date · tools, structured outputs, reasoning: as declared to OpenRouter · not verified by us

Ling 3.0 Flash VL (inclusionAI) spec sheet, field by field, with sources

Ling 3.0 Flash VL (inclusionAI) spec sheetmaker-declared

What inclusionAI declares about the model itself — read from its own weights repository and documentation, not from any host. What each endpoint actually serves is in the pricing above: the two can differ, and both are true.

Context window
131,072 tokens
Parameters
124,848,460,496≈ 124.8B
Active experts
8 of 512 active per token
Weight precision
bfloat16
License
MIT — open weights, permissiveScope: the licence on the published weights, and nothing else. It is not the maker's acceptable-use policy, which is a separate document, and it is not the contract you sign with whichever host you call — hosts set their own terms, which this index does not read.
Knowledge cutoff
not published by the maker
Modalities
text · image · video
Max output (official)
not published by the maker
Release date
not published by the maker
Maker lifecycle status
not published by the maker

Also declared in the weights

Architecture class
BailingMoeV3VLForConditionalGeneration
Layers
42
Vocabulary
157,184 tokens
Weights first published
September 4, 2026
Weights last updated
September 24, 2026

inclusionAI/Ling-3.0-flash-VL · config.json @ c22bf25 · read 2026-10-13 · 6 of 10 fields published by the maker

ProviderChatbot 1,000 in / 500 outRAG / long context 8,000 in / 500 outBatch summarize 4,000 in / 1,000 out
DeepInfra$0.15$0.57$0.42
Novita AI$0.18$0.71$0.52

What each host bills for 1,000 requests of a representative job

Your own workload

    Other inclusionAI models · all its models, hosts and history ›