Refresh model catalogue and introduce free Qwen3.8-27B API

Use the current official website catalogue and direct API IDs checked on 2026-10-14. Add Qwen3.8-27B free-tier pricing, allowance, context and TPM, plus the new Qwen4-27B-NVFP4 preparation repository link.

README.md

@@ -9,10 +9,45 @@ pinned: false
 
 # IteraCompute
 
-**Production inference infrastructure for open-weight AI models.**
+**OpenAI-compatible inference for open-weight models. Start with free Qwen3.8-27B.**
 
 IteraCompute Artificial Intelligence Technology (Chongqing) Co., Ltd. provides reliable, usage-based inference for language models through OpenAI-compatible APIs. We focus on predictable integration, streaming responses, tool use, structured outputs, and privacy-conscious processing.
 
+## Start with free Qwen3.8-27B
+
+**Qwen3.8-27B is available for free through IteraCompute's OpenAI-compatible API.** Input, cached input, and output are all **$0 per 1M tokens**.
+
+- API model ID: `qwen/qwen3.8-27b`
+- API base URL: `https://api.iteracompute.com/v1`
+- Free tier: up to **30M tokens per account per UTC calendar month**, **128K total context**, and **160,000 TPM**.
+- Supports Chat Completions, streaming, and tool calling. Registration and email verification are required; no card or recharge is needed for the Free tier.
+
+The monthly allowance counts input and output, including reasoning, across the account's API keys. Free capacity is shared and may queue at busy times; fair-use limits apply and there is no uptime or latency SLA. See the current [free allowance and limits](https://iteracompute.com/free/) and [Free Tier Terms](https://iteracompute.com/free-tier-terms/).
+
+[Start free](https://iteracompute.com/free/) · [First API call](https://iteracompute.com/docs.html) · [Model details](https://iteracompute.com/models/qwen3-8-27b/)
+
+中文：Qwen3.8-27B 目前免费，输入、缓存输入和输出均为 $0；免费档每月最高 30M tokens、128K 上下文、160K TPM，无需信用卡或充值，高峰期可能排队。具体额度与可用性以官网和控制台为准。
+
+## Current model API catalogue
+
+The [website model catalogue](https://iteracompute.com/models/) lists the following models as online, checked on **2026-10-14**. These are direct IteraCompute API IDs; use them exactly as shown. Current availability, capabilities, and pricing are published on the website and in the Console.
+
+| Model | API model ID | Access |
+| --- | --- | --- |
+| [Qwen3.8-27B](https://iteracompute.com/models/qwen3-8-27b/) | `qwen/qwen3.8-27b` | Free within published allowance |
+| [Qwen3.8-2.4T-A95B](https://iteracompute.com/models/qwen3-8-2-4t-a95b/) | `qwen/qwen3.8-2.4t-a95b` | Usage-based |
+| [GLM-5.3-Flash](https://iteracompute.com/models/glm-5-3-flash/) | `z-ai/glm-5.3-flash` | Usage-based |
+| [Kimi K2.7 Code](https://iteracompute.com/models/kimi-k2-7-code/) | `moonshotai/kimi-k2.7-code` | Usage-based |
+| [DeepSeek V4 Pro](https://iteracompute.com/models/deepseek-v4-pro/) | `deepseek/deepseek-v4-pro-0813` | Usage-based |
+| [GLM-5.3](https://iteracompute.com/models/glm-5-3/) | `z-ai/glm-5.3` | Usage-based |
+| [Kimi K3](https://iteracompute.com/models/kimi-k3/) | `moonshotai/kimi-k3` | Usage-based |
+| [MiniMax M3](https://iteracompute.com/models/minimax-m3/) | `minimax/minimax-m3` | Usage-based |
+| [DeepSeek V4.1 Flash](https://iteracompute.com/models/deepseek-v4-1-flash/) | `deepseek/deepseek-v4.1-flash` | Usage-based |
+| [DeepSeek V4 Flash 0731](https://iteracompute.com/models/deepseek-v4-flash-0731/) | `deepseek/deepseek-v4-flash-0731` | Legacy alias for V4.1 Flash |
+
+[Current pricing](https://iteracompute.com/pricing/) · [Public Models endpoint](https://api.iteracompute.com/v1/models)
+
+
 ## Open-source quantization
 
 ### Qwen4-27B NVFP4 — preparation stage
@@ -21,6 +56,7 @@ We are preparing a reproducible NVFP4 quantization and release workflow for the
 
 **Current status: preparation only.** No Qwen4 model weights, benchmark results, or validated Qwen4 architecture compatibility are available yet. Any future HF checkpoint release requires confirmation of the official source and license, GPU inference tests, and quality evaluation. This is an independent community project, not affiliated with Qwen or NVIDIA.
 
+- [HF preparation repository — no weights yet](https://huggingface.co/IteraCompute/Qwen4-27B-NVFP4)
 - [GitHub project](https://github.com/IteraCompute/qwen4-27b-nvfp4)
 - [Quantization and release checklist](https://github.com/IteraCompute/qwen4-27b-nvfp4/blob/main/docs/RELEASE.md)
 - [Release progress](https://github.com/IteraCompute/qwen4-27b-nvfp4/issues/2)
@@ -29,18 +65,13 @@ We are preparing a reproducible NVFP4 quantization and release workflow for the
 
 ## Hugging Face Inference Provider
 
-Our Hugging Face Inference Provider integration is currently being prepared for review. Initial conversational model mappings include:
-
-| Hugging Face model | Provider model ID |
-| --- | --- |
-| [`Qwen/Qwen3.8-27B`](https://huggingface.co/Qwen/Qwen3.8-27B) | `iteracompute/qwen3.8-27b` |
-| [`ornith-ai/Ornith-1.5-35B-A3B-NVFP4`](https://huggingface.co/ornith-ai/Ornith-1.5-35B-A3B-NVFP4) | `iteracompute/ornith-1.5-35b-a3b` |
-
-The integration supports conversational inference, streaming, tool calling, structured outputs, request-level usage tracking, and Hugging Face's provider billing contract. Availability will be announced after deployment and Hugging Face validation are complete.
+Our Hugging Face Inference Provider integration is currently being prepared for review. Availability through HF will be announced after deployment and Hugging Face validation are complete. The catalogue above describes direct IteraCompute API access.
 
 ## Resources
 
 - [Website](https://iteracompute.com/)
+- [Current models](https://iteracompute.com/models/)
+- [Free API and allowance](https://iteracompute.com/free/)
 - [GitHub organization](https://github.com/IteraCompute)
 - [API documentation](https://iteracompute.com/docs.html)
 - [Privacy policy](https://iteracompute.com/privacy.html)