From 9699ff08ccb080057ab1d55d9f7af46368aeb3b4 Mon Sep 17 00:00:00 2001 From: inference-bot Date: Fri, 16 Oct 2026 10:50:46 -0600 Subject: [PATCH] models: remove PublicAI provider; Regolo becomes the Apertus provider; emoji = feature tier; add Qwen-Image image-generation section --- models.md | 46 +++++++++++++++++++++++++++++----------------- 1 file changed, 29 insertions(+), 17 deletions(-) diff --git a/models.md b/models.md index d3b7bd1..07815d7 100644 --- a/models.md +++ b/models.md @@ -16,20 +16,18 @@ provider today is best on both. |---|---|---|---|---| | **Tinfoil** | *private* | **Strongest — architectural** | Not a green claim | Runs in hardware enclaves (TEEs) with end-to-end encryption (EHBP), verifiable via remote attestation. Neither we nor Tinfoil can read your prompts or responses at inference time. Energy mix is not disclosed. | | **GreenPT** | *green* | **Policy-based** | **Strongest — 100% renewable** | Standard (non-enclave) hosting in the EU; privacy rests on GreenPT's commitments and EU data rules, not on cryptography. Compute runs on 100% renewable energy. | -| **PublicAI** | *public* | Policy-based | Undisclosed | A gateway for **publicly developed, sovereign models** — open-weight models built by national/public programs rather than private labs. Privacy is policy-based (no enclave); energy mix is not disclosed. | +| **Regolo** | *green* | Policy-based — **zero data retention** | **100% renewable** | EU-hosted (Italy, Seeweb) with a stated zero-data-retention policy: prompts are not stored or reused. Compute runs on 100% renewable energy. | **Reading the gradations:** -- **Privacy:** *architectural* (Tinfoil) beats *policy-based* (GreenPT, PublicAI). An - enclave protects you even if the provider is compromised; a policy protects - you only as far as the provider keeps its word. Both are better than a - provider with neither. -- **Green energy:** *100% renewable* (GreenPT) beats *undisclosed* (Tinfoil, - PublicAI). GreenPT reports its energy mix; the others do not, so we can't - claim greenness for them. -- **Sovereignty:** *publicly developed* (PublicAI) is its own value — the models - come from public/national AI programs, built as public goods rather than - proprietary products. It's a third axis, independent of privacy and energy. +- **Privacy:** *architectural* (Tinfoil) beats *policy-based* (GreenPT, + Regolo). An enclave protects you even if the provider is compromised; a + policy protects you only as far as the provider keeps its word. Both are + better than a provider with neither — and Regolo adds a written + zero-data-retention commitment on top of its policy. +- **Green energy:** *100% renewable* (GreenPT, Regolo) beats *undisclosed* + (Tinfoil). GreenPT and Regolo both run on 100% renewable energy; Tinfoil's + mix is not disclosed. Trade-offs are real: the most private option (Tinfoil) isn't the greenest, and the greenest option (GreenPT) isn't the most private. The point of the co-op is @@ -69,8 +67,9 @@ The emoji in the model name marks its **value tier** (the same icons used in the - 🔒 **Private** — Tinfoil: architecturally private (TEE enclaves) - 🌱 **Green** — GreenPT: 100% renewable energy -- 📖 **Public** — PublicAI: publicly developed, sovereign open models -- ⚡ **Regolo** — EU-hosted, zero data retention, renewable-powered +- 🌱 **Green** — Regolo: EU-hosted, zero data retention, renewable-powered + (the 🌱 emoji marks renewable-powered providers — GreenPT and Regolo — not a + specific company) | Model | Provider | Privacy | Green | Vision | Context | Pricing (in / out / cached) | Notes | |---|---|---|---|---|---|---|---| @@ -80,10 +79,8 @@ The emoji in the model name marks its **value tier** (the same icons used in the | `🔒 tinfoil/gpt-oss-120b` | Tinfoil | architectural | undisclosed | — | 131K | $0.15 / $0.60 / — | Lightweight open-weight reasoning; cheapest private tier. | | `🌱 greenpt/glm-5.3-flash` | GreenPT | policy | 100% renewable | — | 1M | $0.11 / $0.44 / $0.022 | Fast GLM model, renewable energy. | | `🌱 greenpt/glm-5.3` | GreenPT | policy | 100% renewable | — | 1M | $1.10 / $4.40 / $0.275 | GLM flagship — strongest agentic model in the green tier. | -| `📖 publicai/apertus-v1.5-8b` | PublicAI | policy | undisclosed | ✅ | 262K | $0.10 / $0.20 / — | Fully open sovereign model, small/fast, image understanding. | -| `📖 publicai/apertus-v1.5-70b` | PublicAI | policy | undisclosed | ✅ | 262K | $0.82 / $2.92 / — | Fully open sovereign model, large/capable, image understanding. | -| `⚡ regolo/apertus-70b` | Regolo | policy | zero data retention, 100% renewables | ✅ | 65K | $0.46 / $2.44 / — | Same open-weights Apertus 70B via an Italian EU host — failover pair with PublicAI. | -| `⚡ regolo/qwen3.5-122b` | Regolo | policy | zero data retention, 100% renewables | ✅ | 262K | $1.16 / $4.87 / — | Large vision+reasoning MoE (Qwen 3.5, 122B-A10B); biggest context in the roster. | +| `🌱 regolo/apertus-70b` | Regolo | policy (ZDR) | ✅ 100% renewable | ✅ | 65K | $0.46 / $2.44 / — | Fully open sovereign model (Apache-2.0), large/capable, image understanding. | +| `🌱 regolo/qwen3.5-122b` | Regolo | policy (ZDR) | ✅ 100% renewable | ✅ | 262K | $1.16 / $4.87 / — | Large vision+reasoning MoE (Qwen 3.5, 122B-A10B); biggest context in the roster. | Vision is verified working through the co-op gateway (base64 image input via `/v1/chat/completions`, standard OpenAI format). In the chat UI, just attach @@ -135,6 +132,21 @@ curl https://gateway.inference.coop/v1/chat/completions \ ]}]}' ``` +### Image generation + +`🌱 regolo/qwen-image` (Regolo, EU-hosted, zero data retention) generates +images from a text prompt. In the chat, use the 🎨 button and describe what +you want — no prompt engineering needed. Via the API: + +```bash +curl https://gateway.inference.coop/v1/images/generations \ + -H "Authorization: Bearer ***" \ + -H "Content-Type: application/json" \ + -d '{"model": "regolo/qwen-image", "prompt": "a watercolor painting of a mountain lake", "n": 1, "size": "512x512"}' +``` + +The response returns base64-encoded JPEG(s). Billed per pixel generated. + ### About the Apertus models Apertus is the **Swiss AI Initiative's** open foundation model, built by a