MiMo V2.6 Flash
xiaomi/mimo-v2.6-flashCompare xiaomi/mimo-v2.6-flash API pricing, supported endpoints, capabilities and access options on Modelsell.
- Starting price
- Input / Output · 1M
- Context
- 1.1M
- Maximum input window
- Max output
- 131.1K
- Maximum tokens per response
- Modalities
- →
Pricing by Supplier
Capabilities / Supported modalities
Provider & data privacy
BPE (vendor-specific)Performance
Benchmarks
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·MiMo V2.6 Flash
This model is not included in the current benchmark snapshot.
Missing models or measurements are not zero scores.
Benchmark charts preserve the source model selection and reasoning settings. Missing models or measurements are not zero scores, and benchmark cost or speed is not this site’s service commitment.
About MiMo V2.6 Flash
把录音、画面与文字一起读懂
MiMo-V2.6 Flash 适合日常专业工作中的多模态内容处理。它可以联合理解文字、图片、视频和音频，再输出文字结果。例如结合讲解录音与演示画面提炼要点，阅读商品图片和说明整理属性，或把操作录像中的过程写成步骤清单。用户不必把每一种材料都手工转述成文字后再分析。
处理会议或培训资料时，可以给模型明确目标：区分已确认决定与讨论建议，找出负责人、待办和未解决问题，再将结果按主题组织。多份材料存在差异时，要求指出证据所在，避免把画面中出现的文字直接当成发言者已经确认的结论。
怎样用于代码和连续工作流？
模型支持深度思考与工具调用，可根据需求分析代码、提出实现方案，并借助应用提供的工具读取文件、执行检查或查询数据。适合把工作拆成小步：先定位相关材料，再处理一项修改，获得结果后继续。工具是否成功应以执行返回为准，并将新结果纳入后续对话。
百万 Token 级上下文可容纳较长材料，但建议按文件、时间段与主题分组，明确当前要解决的问题。简单整理可使用直接回复方式，涉及跨材料推断或多步代码分析时再启用思考，并为正式结论留出输出空间。
输出能接入业务系统吗？
模型可生成结构化结果，适合内容标签、会议行动项和资料归档。提示中写清字段、缺失值和重复项处理方式，应用再校验并保存。输出为文字；若要播放语音，需要另外接入语音合成服务。
Use cases and prompting
例如整理产品培训，提交录音、演示视频和补充文字后输入：
“请形成一份面向新同事的培训笔记。按‘功能用途、演示步骤、注意事项、尚未回答的问题’整理。区分讲解者明确说明的规则与画面中的临时示例；每项结论标注材料名称和可定位的片段，无法确定时写待确认。最后提取行动项，包含任务、负责人、截止日期，未提及的字段留空。”
长录音与视频可先按主题切段，再汇总笔记；保留片段编号与原始时间范围，便于回看。需要写入任务系统时，先校验结构化字段，并确认负责人和日期来自材料。
API access
API documentation
Code samples
/v1/chat/completions| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
Replace <YOUR_API_KEY> with the API key from your token settings.
Authentication
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
Supported parameters
| Parameter | Type | Default / range | Description |
|---|---|---|---|
temperature | number | = 10 ~ 2 | Sampling temperature; lower is more deterministic |
top_p | number | = 10 ~ 1 | Nucleus sampling probability mass |
max_tokens | integer | >= 1 | Maximum number of tokens in the response |
frequency_penalty | number | = 0-2 ~ 2 | Penalises repetition of frequent tokens |
presence_penalty | number | = 0-2 ~ 2 | Encourages introducing new topics |
stop | array | — | Up to 4 strings that stop generation |
seed | integer | — | Deterministic sampling seed (best-effort) |
n | integer | = 1>= 1 | Number of completions to generate |
stream | boolean | = false | Stream tokens via Server-Sent Events |
response_format | object | — | Force JSON object or schema-conforming output |
tools | array | — | Tool / function declarations the model may call |
tool_choice | string | autononerequired | Tool-choice policy or specific tool name |
logprobs | boolean | = false | Return per-token log probabilities |
top_logprobs | integer | 0 ~ 20 | Number of top log probabilities returned per token |
logit_bias | object | — | Per-token logit bias map |
user | string | — | End-user identifier for abuse monitoring |
Rate limits
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| XiaomiMIMO | Unlimited | Unlimited | Unlimited |
No restriction
Frequently asked questions about xiaomi/mimo-v2.6-flash
What is xiaomi/mimo-v2.6-flash?
Compare xiaomi/mimo-v2.6-flash API pricing, supported endpoints, capabilities and access options on Modelsell.
How do I call xiaomi/mimo-v2.6-flash?
Create an API key with access to xiaomi/mimo-v2.6-flash, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is xiaomi/mimo-v2.6-flash priced?
Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.
What is the context window of xiaomi/mimo-v2.6-flash?
The model catalog lists a context window of 1050000 tokens. Check the selected endpoint for request limits.
What is the maximum output of xiaomi/mimo-v2.6-flash?
The model catalog lists a maximum output of 131072 tokens. Your request settings may set a lower limit.
How should I evaluate xiaomi/mimo-v2.6-flash for my project?
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.