What we shipped.

GET /v1/usage returns what the Usage page shows, using the same API key you send requests with, so a script, a status bar or a coding tool can check what's left without signing in to the dashboard.

curl https://api.openadapter.in/v1/usage -H "Authorization: Bearer sk-cv-..."

You get your plan, how much of each limit (5 hours, day, week, month) you've used and how much remains as a percentage, when each one resets, and your requests and tokens over the last 24 hours. If the key has its own request or token cap, you also get what's left on that key. Every key can read it; it only ever shows your own account.

• New model: MiniMax-M3.1-Flash. A multimodal reasoning model for coding and agent work: reads text, images and video, 1M-token context, function calling, thinking always on. Call it as MiniMax-M3.1-Flash from the API, your coding tools, Koda, or pick it in Chat.
• Free for every plan until the end of Oct 23 (IST). Requests to it use none of your quota while the offer runs, free plan included. A fair-use limit of 10 requests a minute per account keeps it fast for everyone. After the offer it becomes a regular Pro-tier model at 1× a request.

• Share is a button now. It sits in the artifact's header instead of the ⋯ menu. Before the link exists you're told that anyone with it can view the artifact; once you confirm, the link is right there to copy. Open Share again to copy it or revoke it.
• Find what you've published. The Artifacts page has a Published filter, and shared artifacts are marked in the gallery.
• New Discord invite. The Discord link in the sidebar points to our new server.

• A full redesign. Every page is rebuilt on one calm design system: one typeface (Manrope), quieter colour, light and dark themes that match, and layouts that fit your phone, so nothing runs off the screen any more.
• Chat is here. Talk to any model on your plan right in the dashboard: attach files, edit or regenerate a reply and keep both versions, make artifacts, and share a chat with a link.
• Koda Remote has a new home. Your Koda sessions live under Koda in the dashboard. Open one from any device, see its history, and pick up where you left off; a continued conversation keeps the same session.
• A new model picker and sign-in page. The picker opens on eight recommended models, with everything else your plan can use one tap away under More models; and the sign-in page wears a different gradient each visit.
• Fixes: chat titles no longer start with a stray colon, and the chat header and composer stay put when a notice is showing or your keyboard opens.

• Mermaid diagrams are drawn. A diagram artifact used to show its source; it now renders as a picture, in the viewer and in the gallery. One that will not parse shows its source with the reason.
• Drawings no longer come up blank. An SVG that only set a viewBox rendered as an empty frame; it now fills it.
• A failed reply keeps saying why after you reload, instead of showing an empty message. And when a model simply is not available, you are told so straight away rather than asked to retry.
• Install commands keep your key out of the URL. The one-liners on the MCP Store, Koda and editor pages now send your key as a header. Commands you copied before still work.
• Settings works on a phone — every section used to be cut off on the right.
• Activity charts use your days, not UTC — an evening's work no longer lands on the wrong date.

Fixes & QOL: a deleted artifact's card in a conversation says so instead of opening an empty panel; the resources panel opens on narrow screens; What's New previews cut between lines; toasts no longer cover the Support button; the MCP Store is rebuilt; a missing conversation offers a way back; the Referrals monthly tile says what it counts.

The gateway now speaks the OpenAI Responses API at POST /v1/responses, next to Chat Completions and Anthropic Messages. Newer OpenAI SDKs, Codex CLI and the OpenAI Agents SDK use this format by default, so they now work with your OpenAdapter key out of the box.

What works: text and streaming (response.output_text.delta and friends), function tools with streamed arguments, reasoning summaries, image input on vision models, instructions, max_output_tokens, reasoning.effort and text.format for JSON output. Every model and every auto-* tier is available, with the same quota, failover and X-Auto-Model header as the other endpoints.

Not supported: previous_response_id (send the full conversation in input each call) and hosted tools such as web search or file search. Those return a clear error instead of doing something else.

Python:

from openai import OpenAI
client = OpenAI(api_key="sk-cv-...", base_url="https://api.openadapter.in/v1")
r = client.responses.create(model="GPT-6-Luna", input="hello")
print(r.output_text)

See the Responses section in the Guide for JavaScript and curl.

GPT-6-Luna is live and GPT-5.6-Luna is retired. Luna is the fast tier of OpenAI's GPT-6 line, the one OpenAI calls its most efficient model for focused, high-volume work. It carries a 1M-token context window with up to 128K output, reads text, images and files, and has a knowledge cutoff of May 2026 against February for its predecessor. Call it as GPT-6-Luna.

It is a pro-tier model at 1 request of quota per call, so it is available on every paid plan and the free tier. GPT-5.6 Luna was max-tier; this is a step down in price for the same job.

OpenAI has not published a standard benchmark table for Luna. What they do state:

We will add more figures as OpenAI publishes them rather than borrow numbers from elsewhere.

Calls to GPT-5.6-Luna now return a message pointing to GPT-6-Luna.

Sources: OpenAI announcement, model page.

Four new model names pick a model for you: auto-max, auto-pro, auto-lite and auto-free.

Each tier keeps a pool of its three to five fastest models, measured from the last 24 hours of real traffic. On the first turn of a conversation a small decisions model reads the request once and picks the model in that pool best suited to it: coding, agent loops with tools, long documents, images, or plain chat. The pick stays with the conversation, so an agent session does not hop models mid-task and prompt caching keeps working.

You always know what answered. The response's model field and an X-Auto-Model header name the model that served the request, and quota is charged at that model's rate. If the picker is unavailable, the fastest model in the pool answers. Plan rules are unchanged: auto-max needs a plan that reaches max-tier models, and auto-free works on every plan.

Koda uses auto-pro by default from its next release.

MiMo-V2.6-Pro is live. The flagship of the V2.6 series: 1.02T parameters with 42B active, a 1M-token context window with up to 128K output, and unlike V2.5 Pro it now reads text, image, video and audio. MIT licensed. Xiaomi positions it for complex projects, long-horizon agent work, security research and high-stakes tasks. Call it as MiMo-V2.6-Pro.

Xiaomi's published scores against the V2.5 Pro it replaces:

It is a reasoning model: it thinks before it answers, so give it an output budget of a few thousand tokens or short replies come back cut off. It costs 2.5 requests of quota per call and is available on every paid plan and the free tier. MiMo-V2.5-Pro stays available.

Source: MiMo-V2.6-Pro model card.

MiMo-V2.6-Flash is live. Xiaomi's efficiency checkpoint of the new V2.6 series: a 309B mixture-of-experts model with 15B active, a 1M-token context window, and text, image, video and audio input. MIT licensed. Call it as MiMo-V2.6-Flash.

Xiaomi's published scores, with the previous V2.5 Pro flagship for scale:

It costs 1.5 requests of quota per call and is available on every paid plan and the free tier, the same terms as MiMo-V2.5. It also joins the auto-pro pool as soon as it has enough traffic to be ranked.

Source: MiMo-V2.6-Flash model card.

MiMo-V2.5-Pro is live. It is Xiaomi's flagship: a 1.02T-parameter mixture-of-experts model with 42B active per token, a 1M-token context window, MIT licensed, and text only. Xiaomi built it for demanding software engineering and long-horizon agent tasks that span thousands of tool calls. Call it as MiMo-V2.5-Pro.

Xiaomi's published scores:

It costs 2.5 requests of quota per call and is available on every paid plan and the free tier. Use it for the hard, multi-step coding jobs, and MiMo-V2.5 when you need images, video or audio.

The old MiMo-V2-Flash name is retired. Requests for it now return a message pointing to MiMo-V2.5.

Source: MiMo-V2.5-Pro model card.

MiMo-V2.5 from Xiaomi is live. It is natively omnimodal: it takes text, images, video and audio in a single model, with a 1M-token context window. It is a 310B mixture-of-experts model with 15B active per token, released under the MIT license. Call it as MiMo-V2.5.

Xiaomi's published scores:

It costs 1.5 requests of quota per call and is available on every paid plan and the free tier, the same terms as the other flash vision models. Reach for it when the input is a document, chart, screen recording or audio clip rather than plain text.

Source: MiMo-V2.5 model card.

DeepSeek-V4.1-Flash is live. It reads text and images, carries a 1M-token context window, and is built for input-heavy agentic and coding work. Reasoning effort is adjustable, so it can answer quickly or think hard on request. Call it as DeepSeek-V4.1-Flash.

DeepSeek publishes these scores against the earlier V4 Flash, all at maximum reasoning effort:

It costs 2 requests of quota per call and is available on every paid plan and the free tier. DeepSeek-V4-Flash stays exactly as it is at 1 request per call, so nothing changes for existing setups. Pick V4.1 when the task is a long agent run or terminal work, and V4 when you want the cheapest fast model.

Source: DeepSeek-V4.1-Flash model card.

A batch of things that were visibly wrong.

• Inline timelines were unreadable — every event rendered as a narrow strip of text, one word per line. Diagrams also only had about half the colour palette wired up, so a chart asking for its third or fifth colour came back grey.
• Asking for a visual of a document produced a wall of CSS. The model was saving an HTML page as a new version of the existing document, which then rendered as source. Asking for the same subject in a different form now creates a new artifact instead.
• The composer settled down. No more pale box appearing around the text when the pointer crosses it, and no border lighting up the moment the page loads. The model picker sits next to the effort setting as one phrase rather than a name floating a hundred pixels from its own chevron.
• "New chat" from the chats list created a real, empty conversation every time it was clicked. It opens the compose screen now, and a conversation exists once something is said in it.
• Bring-your-own-keys is built from the same parts as the rest of settings, instead of section headings rendering as filled bands across the page.