MiMo V2.5 vs MiMo V2.5 Pro

MiMo V2.5 from Xiaomi MiMo and MiMo V2.5 Pro from Xiaomi MiMo are shown side by side so you can compare pricing, model IDs, context and output limits, modalities, tool use, release details, and benchmark results where data is available.

Overall Recommendation

For Xiaomi MiMo API selection, choose MiMo V2.5 Pro for demanding text-only agentic coding and long-horizon software engineering; it scales to 1.02T parameters with 42B active. Choose MiMo V2.5 when image, video, or audio understanding is required: it is the native omnimodal 310B/15B-active model. Both official instruction models support up to 1M context.

Comparison Highlights

Based On Current Page Data

MiMo V2.5Xiaomi MiMo

MiMo V2.5 ProXiaomi MiMo

How To Read It

Best For

Multimodal agents using textimagevideoor audio

Demanding agentic codinglong-horizon software engineering

How To Read ItUse-case synthesis from model capabilities and positioning.

Workload Fit

310B/15B MoENative omnimodal1M context

1.02T/42B MoEText model1M context

How To Read ItThe workloads each model is most directly shaped for.

Input

$0.14/MEdge

$0.4286/M

How To Read ItLower is better when prompts or retrieval payloads are large.

Output

$0.28/MEdge

$0.8571/M

How To Read ItLower is better for reasoning-heavy or long-generation traffic.

Context length

1.1M

How To Read ItHigher is better for repositories, retrieval packs, and transcripts.

Input modalities

Audio, Image, Text, VideoEdge

Text

How To Read ItBroader input support reduces the need for separate vision or video models.

Model Selection Guide

MiMo V2.5Xiaomi MiMo

Choose MiMo V2.5 When

Xiaomi describes MiMo V2.5 as a native omnimodal model with unified text, image, video, and audio understanding
Its sparse MoE uses 310B total and 15B active parameters, substantially smaller than Pro
The official instruction model supports up to 1M context and is trained for multimodal reasoning and agent workflows

MiMo V2.5 ProXiaomi MiMo

Choose MiMo V2.5 Pro When

Xiaomi calls Pro its most capable model for demanding agentic, software-engineering, and long-horizon tasks
It scales to 1.02T total and 42B active parameters while retaining a 1M-token context window
The official model card describes coherent trajectories spanning thousands of tool calls, but it is text-only

Basic Information

MiMo V2.5Xiaomi MiMo

MiMo V2.5 ProXiaomi MiMo

Name

MiMo V2.5

Model id

mimo-v2.5

Data source

TokenHub production catalog

Intro

Xiaomi MiMo V2.5 is Xiaomi’s native multimodal Mixture-of-Experts model for production AI applications. It understands text, images, video, and audio, and generates text for chat, coding, reasoning, content generation, and agent workflows. With long-context and tool-use capabilities, MiMo V2.5 is suited to document analysis, multimodal assistants, structured extraction, and complex tasks that combine multiple input formats. Use the Xiaomi MiMo API through TokenHub to review the current MiMo V2.5 price, model ID, supported endpoints, and model limits before production use.

Author

Xiaomi MiMo

Released date

2026-04-23

Context length

1.1M

Max output tokens

131.1K

Name

MiMo V2.5 Pro

Model id

mimo-v2.5-pro

Data source

TokenHub production catalog

Intro

Xiaomi MiMo V2.5 Pro is a Xiaomi LLM in the MiMo AI model family, built for complex reasoning, coding, software engineering, and multi-step agent workflows. Use the Xiaomi MiMo API through TokenHub to review the current MiMo V2.5 Pro price, model ID, context and output limits, supported modalities, endpoints, and benchmark results before integrating it into a production application.

Author

Xiaomi MiMo

Released date

2026-04-23

Context length

Max output tokens

128K

Name

MiMo V2.5

Name

MiMo V2.5 Pro

Model id

mimo-v2.5

Model id

mimo-v2.5-pro

Data source

TokenHub production catalog

Data source

TokenHub production catalog

Intro

Author

Xiaomi MiMo

Author

Xiaomi MiMo

Released date

2026-04-23

Released date

2026-04-23

Context length

1.1M

Context length

Max output tokens

131.1K

Max output tokens

128K

Pricing

MiMo V2.5Xiaomi MiMo

MiMo V2.5 ProXiaomi MiMo

Input

$0.14/M

Output

$0.28/M

Cached input

$0.0028/M

Input

$0.4286/M

Output

$0.8571/M

Cached input

$0.0036/M

Input

$0.14/M

Input

$0.4286/M

Output

$0.28/M

Output

$0.8571/M

Cached input

$0.0028/M

Cached input

$0.0036/M

Capabilities

MiMo V2.5Xiaomi MiMo

MiMo V2.5 ProXiaomi MiMo

Reasoning

Knowledge

n/a

Attachment

Input modalities

Audio, Image, Text, Video

Output modalities

Text

Temperature

Tool use

Reasoning

Knowledge

n/a

Attachment

Input modalities

Text

Output modalities

Text

Temperature

Tool use

Reasoning

Knowledge

n/a

Knowledge

n/a

Attachment

Input modalities

Audio, Image, Text, Video

Input modalities

Text

Output modalities

Text

Output modalities

Text

Temperature

Tool use

Benchmark

MiMo V2.5Xiaomi MiMo

MiMo V2.5 ProXiaomi MiMo

Intelligence

Coding

56.8

Intelligence

wins42.9

Coding

wins60.2

FAQ

Which model is better, MiMo V2.5 or MiMo V2.5 Pro?

Neither model is universally better. Start with the Model Selection Guide above to match each model to your task, then use pricing, context length, maximum output, and capability rows to confirm the operational fit.

Is MiMo V2.5 Pro cheaper than MiMo V2.5?

Use the pricing rows above to compare input, output, and cached input prices for MiMo V2.5 and MiMo V2.5 Pro.

Which model supports a longer context length?

MiMo V2.5 lists 1.1M context length, while MiMo V2.5 Pro lists 1M.

Can I access both models through TokenHub?

If both models are available in the TokenHub catalog, you can route requests to MiMo V2.5 and MiMo V2.5 Pro through the TokenHub API.