inclusionAI releases Ling 3.1 Flash: 560B MoE, 25B active, 262K context, free on OpenRouter
inclusionAI has released Ling 3.1 Flash, a hybrid reasoning mixture-of-experts model with 560B total and 25B active parameters and a 262K-token context window. It is listed as free on OpenRouter through NovitaAI. No benchmark scores have been published on the listing.
inclusionAI has released Ling 3.1 Flash, a hybrid reasoning mixture-of-experts (MoE) model with 560B total parameters and 25B active per token. It has a 262K-token context window. According to its OpenRouter listing, the model was released on October 2, 2026 and is currently priced at $0 per 1M input tokens and $0 per 1M output tokens.
Key specifications
| Spec | Detail |
|---|---|
| Developer | inclusionAI |
| Architecture | Mixture-of-experts, hybrid reasoning |
| Total parameters | 560B |
| Active parameters | 25B |
| Context window | 262K tokens |
| Release date | Oct 2, 2026 (per OpenRouter listing) |
| Pricing | Free (input and output) |
| Training cutoff | Not disclosed |
| Benchmark scores | Not published on the listing |
Availability and performance
The model is available through OpenRouter, with NovitaAI as the sole listed provider. OpenRouter's listing shows these figures:
- Latency: 1.12s P50
- Throughput: 66 tokens per second P50
- Provider uptime: 100.00% (NovitaAI)
- OpenRouter availability: 98.93% over the last 24 hours
The listing does not say whether the free pricing is promotional or how long it will last. Paid rates have not been disclosed. The listing also does not itemize supported modalities. Its description refers to a language model, and inclusionAI sells vision capability separately in the Ling 3.0 Flash VL variant.
Position within the Ling family
Ling 3.1 Flash is much larger than earlier "Flash" models in the lineup, according to OpenRouter's catalog:
- Ling 3.0 Flash: 124B total, about 5.1B active
- Ling-2.6-flash: 104B total, 7.4B active
- Ling 3.1 Flash: 560B total, 25B active
That is roughly 4.5x the total parameters and about 5x the active parameters of Ling 3.0 Flash. It sits below the trillion-parameter Ling-2.6-1T and Ring-2.6-1T (63B active) models. Unlike the Ling-2.6 instruct models, it combines instant and reasoning behavior in one hybrid model, as Ling 3.0 Tiny and Ling 3.0 Flash VL also do.
inclusionAI has not published benchmark results for 3.1 Flash on the listing, so its capability claims cannot yet be verified against peers.
What this means
The jump from 5B to 25B active parameters under the "Flash" name suggests inclusionAI is moving that tier toward higher capability, at the expense of the very low serving cost that defined Ling 3.0 Flash ($0.021 input / $0.063 output per 1M tokens). Active parameter count drives inference cost, so paid pricing for 3.1 Flash will probably be well above the 3.0 tier once it is set.
The free listing makes it easy to test now. A 66 tokens-per-second throughput on a single provider is moderate for a model with 25B active parameters. Builders should treat the free tier as an evaluation window rather than a production commitment until pricing and rate limits are published.
The main gap is evidence. Without benchmark scores, a technical report, or a stated training cutoff, the model's standing against other open MoE models at this scale is unknown. Independent evaluations on coding, tool use and long-context tasks will determine whether the larger active footprint is justified.
Related Articles
StepFun releases Step 5 Preview: 600B MoE with 1M context at $1/$2.70 per 1M tokens
StepFun has listed Step 5 Preview, a sparse Mixture-of-Experts model with 600B total and 27B active parameters and a 1.0M-token context window. It is priced at $1 input and $2.70 output per 1M tokens on OpenRouter. StepFun positions it as its flagship model for agentic work.
Fish Audio releases Drama 3, a 35B-parameter MoE text-to-speech model with 16-speaker support
Fish Audio has released Drama 3, a text-to-speech model with 35B total parameters and 3B active per token, built for multi-character, long-form audio. It supports up to 16 speakers per text, voice cloning, and streaming. Fish Audio reports first audio in under 100 ms on a single H200.
Unbiased releases Pareto 26.9: 262K-context composite model at $2.50/$7.50 per 1M tokens
Unbiased has released Pareto 26.9, a multimodal composite model with a 262K-token context window, priced at $2.50 per 1M input tokens and $7.50 per 1M output tokens. It is listed on OpenRouter with a Oct 13, 2026 release date. A cheaper 1.0M-context preview, Pareto 26.10, is already listed alongside it.
Liquid AI releases LFM2.5-24B-A2B: open-weight 24B reasoning MoE with 2B active parameters and 131K context
Liquid AI released LFM2.5-24B-A2B, an open-weight reasoning mixture-of-experts model with 24B total and 2B active parameters and a 131K-token context window. The company claims it is competitive with Qwen3.6-35B-A3B on agentic and tool-use tasks while decoding at 184 tokens/s on an Apple M5 Max.
Comments
Loading...