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xiaomi/mimo-v2.6-proXiaomi's fast model, a million tokens at a very low price
MiMo-V2.6-Pro is Xiaomi's model for everyday work at volume. It answers fast, about 2 seconds in our tests, and reasons only briefly. On Tchavi it takes a 1M-token window, reads text and images, and writes up to 131K tokens per reply.
It calls tools, returns JSON and accepted every request parameter we tested. It is one of the most affordable models in the catalogue and is available on the free plan. Think of it for summaries, bulk extraction, translation, support replies and agents that chain many cheap steps.
On Tchavi you pay with mobile money, no international bank card and no KYC, with one API key for 80+ models. OpenAI-compatible: swap the base URL, keep your SDK. Your credits never expire.
About 2 seconds per answer in our tests
About a million tokens in a single request
Long replies in a single pass
Screenshots and photos alongside your text
Function calling and structured output, JSON schema included
Summarise this customer support thread in three bullet points and tag the sentiment as positive, neutral or negative.
Extract the name, amount and date from these 50 payment confirmation messages and return them as a JSON array.
Both target volume at a low price. DeepSeek V4 Flash (model: "deepseek-v4-flash") takes text only; MiMo-V2.6-Pro also reads images. Test both on your own task.
Yes. It belongs to the budget group, which the free plan can use.
Images, yes. PDFs and other documents, no: it takes text and images in and returns text.
We tested stop, frequency and presence penalties, seed, n, reasoning_effort, tools and JSON schema: all were accepted. Three return an error instead: logprobs, parallel_tool_calls set to false, and verbosity — none of its hosts supports them.
Swap the base URL for Tchavi's, use your Tchavi key and set model: "mimo-v2.6-pro" 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-pro',
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-pro`).
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.