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xiaomi/mimo-v2.6-flashStraight answers in under 3 seconds, for high-volume work
MiMo-V2.6-Flash is the small sibling of Xiaomi's MiMo-V2.6-Pro, released the same day in September 2026. It keeps the one-million-token window and image input, but answers without a thinking phase: under 2.5 seconds in our tests.
It calls tools and returns clean JSON. A good fit for pulling amounts and references out of payment text messages, sorting tickets, and summarising or translating at scale. It is one of the most affordable models in the catalogue, available from the free plan.
On Tchavi you pay with mobile money, with no international card and no KYC, and one API key covers 80+ models. It is OpenAI-compatible: change the base URL, keep your SDK.
Measured in our tests, with no thinking phase
About a million input tokens in a single request
Long answers in a single pass
Screenshots, photos and receipts alongside your text
Function calling and structured output, JSON schema included
Extract the sender, amount and reference from these 500 payment text messages and return a JSON array.
Sort these support tickets by urgency: high, medium or low, with one sentence of justification each.
Read this photo of a receipt and return the merchant, the date and the total as JSON.
Flash answers directly, without thinking, and costs less. Pro (model: "mimo-v2.6-pro") thinks briefly before answering. Start with Flash for extraction and sorting, and move to Pro if the quality falls short.
Yes. It is in the budget group, open from the free plan.
Images, yes. PDFs, no: it takes text and images in and returns text.
Up to 1,048,576 input tokens, and up to 131,072 tokens per answer.
Point the base URL at Tchavi, use your Tchavi key and set model: "mimo-v2.6-flash" on /v1/chat/completions. The rest of your code stays the same.
Yes. Top up your Tchavi account with Orange Money, MTN MoMo, M-Pesa or another mobile money operator. No bank card is needed. Credits land as soon as the payment is confirmed and are deducted as you use them.
Yes. Keep your current OpenAI SDK, just change the base URL to Tchavi's (shown in the API tab) and use your Tchavi key. The rest of your code stays the same.
import Tchavi from '@tchavi/sdk';
const client = new Tchavi({ apiKey: 'API_KEY' });
const response = await client.chat.completions.create({
model: 'mimo-v2.6-flash',
messages: [
{
"role": "user",
"content": "Hello!"
}
],
});
console.log(response.choices[0].message.content);
console.log('Credits used:', response.tchavi.credits_used);Every parameter this model accepts on the API. Check the SDK for full typings.
modelRequiredID of the chat model (e.g. `mimo-v2.6-flash`).
messagesRequiredConversation messages. Each item has a `role` (system/user/assistant) and a `content` that's either a plain string or an array of content blocks (`text`, `image_url`, `document_url`).
temperature1Sampling temperature between 0 and 2. Higher values = more random.
max_tokensMaximum number of tokens to generate in the response.
max_completion_tokensOpenAI alias for `max_tokens`. Either field works; if both are sent, `max_completion_tokens` wins.
streamfalseIf true, partial message deltas are streamed as Server-Sent Events.
toolsFunction-calling toolbox. Pass an array of `{ type: "function", function: { name, description, parameters } }`. Returned tool calls land in `choices[].message.tool_calls`. Only models with `supportsTools: true` accept this.
tool_choiceHow the model picks among tools: `"auto"` (default), `"none"` to force a plain text reply, or `{ type: "function", function: { name } }` to force a specific tool. Only with `supportsTools: true`.
response_formatConstrain the output. Pass `{ type: "json_object" }` to force valid JSON (the model still needs a JSON instruction in your prompt). Only models with `supportsJsonMode: true` honour this.
top_p1Nucleus sampling: only tokens in the top `top_p` probability mass are considered.
seedInteger seed for deterministic output. The same seed + identical request yields the same completion when supported by the provider. OpenAI honours it; Anthropic ignores.
n1Number of completions to generate in one call. Defaults to 1; each extra completion is billed.
stream_optionsStreaming options, e.g. `{ "include_usage": true }` to receive a final SSE chunk with usage counts. Effective only when `stream: true`.
stopUp to 4 sequences where the API will stop generating further tokens.
frequency_penalty0Between -2.0 and 2.0. Positive values penalize tokens that have appeared frequently.
presence_penalty0Between -2.0 and 2.0. Positive values encourage the model to talk about new topics.
userEnd-user identifier passed to the upstream provider for abuse / moderation tracking. Should be stable per end-user.
logit_biasPer-token logit bias `{ "<tokenId>": <-100..100>, ... }`. OpenAI-specific; Anthropic ignores silently.
messages[].content[].image_urlAttach an image on a user message. Pass a content block `{ "type": "image_url", "image_url": { "url": ... } }`. PNG / JPEG / WebP, up to 4 per request. Only models with `supportsImageInput: true` accept this block (e.g. `gpt-4o`, `claude-opus-4-7`).
Estimated over 30 days, for a typical message: ~500 input + ~150 output tokens, billed to the thousandth of a credit.