Ling 3.0 Flash Fin (inclusionAI)
inclusionAIReleased Sep 3, 2026Open weights · MITling-3.0-flash-fin
- Context
- 262K tokens
- Max output
- 32k tokens
- Input
- text
Read Oct 23, 06:00 UTC from the hosts' published offers and OpenRouter, spec sheet from inclusionAI
Its only host, Novita AI, does not state its weights precision. Weights and context per host
- Parameters
- 124B
- 5.1B 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
- 3B tokens
- a month, against the cheapest API at $0.29 per M
| Quantization | Memory | Smallest cloud GPU | Quality |
|---|---|---|---|
| INT4 (Q4) | 74 GB | A100 · $1.19/h | smallest footprint, minor quality loss |
| INT8 (Q8) | 149 GB | 2× H100 · $4.30/h | near-lossless |
| FP16 (full) | 298 GB | 4× H100 · $8.60/h | reference 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 19B 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
| Provider | Input | Output | Cache ↑ | Checked |
|---|---|---|---|---|
| Novita AIprecision not stated · 256K ctx · 32K out | $0.075 | $0.22 | $0.015 | Oct 23 |
1 provider · prices per million tokens, read Oct 23, 06:00 UTC · under each host: weights precision, context and max output as served, the maker's value in brackets when the host's differs
| Provider | Weights | Context | Max output | Tools | Structured outputs | Reasoning |
|---|---|---|---|---|---|---|
| Novita AI | not stated by the host | 256K | 32K | — | — | — |
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 Fin (inclusionAI) spec sheet, field by field, with sources
Ling 3.0 Flash Fin (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
- 262,144 tokens
- Parameters
- 127,486,405,600≈ 127.5B
- 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
- 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
- BailingMoeV3ForCausalLM
- Layers
- 42
- Vocabulary
- 157,184 tokens
- Weights first published
- September 3, 2026
- Weights last updated
- September 24, 2026
inclusionAI/Ling-3.0-flash-Fin · config.json @ a5b4afb · read 2026-10-13 · 6 of 10 fields published by the maker
| Provider | Chatbot 1,000 in / 500 out | RAG / long context 8,000 in / 500 out | Batch summarize 4,000 in / 1,000 out |
|---|---|---|---|
| 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 ›
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