InclusionAI / language model; inputs not listed

Ling 3.0 Flash

EVIDENCE AT A GLANCE

Quality, size and local speed

LiveBench 2026-06-25 overall ↗Model card / primary source ↗

LiveBench · overall—/ 100

No comparable score in this release

Model-weight disk · Q4 estimate~77.5 GBFormula, not a published download size

Planning memory · Q4 estimate~101 GBIncludes planning allowance; not measured VRAM

Local speedNo exact measurementDo not infer speed from quality or memory

Quality · No score in the reviewed releaseMemory · Planning estimate based on documented model size; not measured hardware fitLocal speed · No exact local measurement

LiveBench 2026-06-25 measures the named benchmark variant, not a local Q4 run. Scores were collected 2026-09-26; the seven categories share the same 0–100 scale. This is not the Artificial Analysis Intelligence Index. Q4 size covers only the counted weights; multimodal auxiliary components may add files.

SAME BENCHMARK RELEASE

Quality versus estimated Q4 weight size

Full ranking ↗

Reviewed language checkpoints with a LiveBench score and a parameter-based size estimate. The highlighted point is this model when both values are available.

Horizontal axis: estimated Q4 model-weight disk size in decimal GB (log scale). Vertical axis: LiveBench overall / 100. This formula is not the published checkpoint size, runtime memory or a speed test. Models without both inputs are left out of this chart, not scored as zero.

The Ling 3.0 Flash checkpoint is published by InclusionAI for language and reasoning. Its weights are available under MIT; that alone does not establish that its code and all components are open source.

When to consider it

Compare Ling 3.0 Flash with other language and reasoning checkpoints using its linked publisher card. No score for it appears in the reviewed LiveBench snapshot. This is quality evidence, not a local speed result.

Check before choosing

The generic Q4 planning estimate is about 101 GB from 124B stated parameters. It is not a measured minimum; context, batch size, runtime and quantization change actual memory use.

What is documented

Checkpoint / version: inclusionAI/Ling-3.0-flash ↗
Weight license: MIT ↗
Task and modality: language and reasoning · language model; inputs not listed
Count and basis: 124B · manufacturer specification · 5.1B active
Context: 262,144 tokens published for this model
Quality evidence: No comparable score in the reviewed snapshot
Runtime and precision: No local execution verified. Check the publisher's supported runtime and checkpoint precision; batch and context memory are not measured here.

Run locally: known and unknown

~101 GB generic Q4 planning memory. Formula: parameters × 0.625 bytes, plus 20% working allowance and 8 GB reserve. This is neither measured VRAM nor checkpoint download size.

Q4 planning estimate only. Check checkpoint format, runtime support, KV cache, context, batch size and offload before choosing hardware.

Evidence level: Generic estimate only; no execution reproduced by this site.

Before downloading

Check the exact checkpoint and license linked here.
Confirm a compatible runtime and precision or quantization for your platform.
Allow for context, batch size and any extra media components beyond the weights.

Catalog reviewed: 2026-09-30. Benchmark release: 2026-06-25; snapshot collected: 2026-09-26.