inclusionai
inclusionAI: Ling 3.1 Flash
inclusionai/ling-3.1-flash
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
inclusionAI's Ling 3.1 Flash is a text-to-text mixture-of-experts model with 560B total and 25B active parameters per token, plus a listed 1M-token context window. The provider describes it as a hybrid reasoning model intended for complex real-world work, while OpenRouter exposes tool and reasoning controls. Reported strengths cover agentic, coding, office, search, STEM, healthcare, and finance tasks, but the supplied benchmark details are provider-reported and lack independently reproduced results in this pack. Treat suitability as workload-dependent.[1][2]
Strengths
- Hybrid-linear MoE design pairs 560B total parameters with 25B active per token; both sources report a 1M-token context window.[1][2]
- The catalog exposes tool calling and reasoning-related request fields, while the documentation recommends enabling thinking for stronger results.[1][2]
- Provider documentation supplies SGLang and vLLM serving paths, including expert or tensor parallelism and speculative decoding options.[2]
Limitations
- The evidence is limited to catalog data and provider documentation; the pack contains no independently reproduced evaluation or safety assessment.[1][2]
- Vendor-named benchmark coverage lacks comparable numerical results in the supplied text, so claimed gains cannot be verified here.[2]
- Knowledge cutoff is not listed; multilingual behavior, safety guarantees, and performance under a target workload remain unverified.[1][2]
Where to use it
- Pilot long-document analysis or repository-scale coding workflows where the reported context window could reduce chunking.[1][2]
- Evaluate agentic coding and terminal or tool-use assistants, supported by tool controls and provider-reported agentic coverage.[1][2]
- Consider STEM, healthcare, finance, office, or search assistants only after representative task testing and governance review.[2]
Sources
- [1] OpenRouter catalog · inclusionAI: Ling 3.1 FlashSources checked: Nov 13, 2026
- [2] Model documentation · inclusionAI: Ling 3.1 FlashSources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
Specifications
- Model ID
- inclusionai/ling-3.1-flash
- Canonical ID
- inclusionai/ling-3.1-flash-20261002
- Creator
- inclusionai
- Added to OpenRouter
- 02.10.2026
- Context length
- 1,000,000
- Modality
- text->text
- Input modalities
- text
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $0.045 / out $0.135
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: optional · parameters: include_reasoning, reasoning |
| Coding | No measurement | — |
| Agents | No measurement | parameters: tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · parameters: include_reasoning, reasoning |
| Document analysis | No measurement | — |
| Vision | No measurement | — |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| Novita | 1,000,000 | $0.045 | $0.135 | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.