MiMo V2.5 Pro
TL;DR
Open-sourceHigh-capability long-context agentic coding with a 1M context window.
Available on
Open-source models are available on every plan, including Go ($1/mo).
Switch with
Pick MiMo V2.5 Pro from the selector.
Intelligence Index
MiMo V2.5 Pro vs the top of the lineup
Claude Fable 5
GPT-5.6 Sol
Claude Opus 4.8
MiMo V2.5 Pro
Speed
~56
tokens / sec
Input
$0.435
per M tokens
Output
$0.87
per M tokens
MiMo V2.5 Pro deal: 99% off
99% off — permanent. See the deal for details.
| Per 1M tokens | Was | Now |
|---|---|---|
| Input | $2.00 | $0.435 |
| Output | $6.00 | $0.87 |
| Cache read | $0.40 | $0.0036 |
MiMo V2.5 Pro in Command Code
MiMo V2.5 Pro is Xiaomi's open-source model — high-capability long-context agentic coding. It runs in Command Code with a 1M-token context window, switchable any time with /model.
It scores 42.2 on the Intelligence Index — #20 of the 38 scored models in the Command Code lineup.
MiMo V2.5 Pro specs at a glance
What MiMo V2.5 Pro accepts, how much it can hold in context, and what you need to run it.
| Spec | MiMo V2.5 Pro |
|---|---|
| Context window | 1M tokens |
| Input modalities | text |
| Reasoning | No |
| Release date | 2026-04-22 |
| Minimum plan | Go |
MiMo V2.5 Pro vs the Command Code lineup
MiMo V2.5 Pro alongside its nearest real alternatives in the lineup — every price straight from the billing tables.
| Model | Intelligence | Coding | Speed | Input $/M | Output $/M | Blended $/M | Context |
|---|---|---|---|---|---|---|---|
| Claude Fable 5 | 59.9 | 76.5 | ~62 tok/s | $10.00 | $50.00 | $20 | 1M |
| Kimi K2.6 | 44.2 | 61.8 | ~43 tok/s | $0.95 | $4.00 | $1.7125 | 256K |
| MiMo V2.5 Pro (this page) | 42.2 | 60.2 | ~56 tok/s | $0.435 | $0.87 | $0.5438 | 1M |
| Kimi K2.7 Code | 41.9 | 60.8 | ~46 tok/s | $0.95 | $4.00 | $1.7125 | 256K |
| Tencent Hy3 | 41.2 | 58.8 | ~58 tok/s | $0.00 | $0.00 | free | 262K |
| DeepSeek V4 Flash | 40.3 | 56.2 | ~106 tok/s | $0.14 | $0.28 | $0.175 | 1M |
What MiMo V2.5 Pro is best for
MiMo V2.5 Pro is a open-source model from Xiaomi, cheaper blended than most of the lineup ($0.5438 per million tokens). It trades speed for depth — better for batch and background work than rapid iteration.
The honest way to place it: run your own session with /model and compare against the lineup table above — the numbers on this page update as the registry and billing tables change.
When to switch away from MiMo V2.5 Pro
No single model wins every task. These are MiMo V2.5 Pro's computed nearest alternatives — one step up, one step down in cost, one for speed, one from the same family — each switchable mid-session with /model.
Switch to Kimi K2.6
Kimi K2.6 scores 44.2 on the Intelligence Index to MiMo V2.5 Pro's 42.2 — the nearest genuine step up — at $1.7125 blended per million tokens versus $0.5438. Reach for it when a task keeps hitting MiMo V2.5 Pro's ceiling.
Switch to MiniMax M3
MiniMax M3 runs about 28% cheaper blended ($0.3938 versus $0.5438 per million tokens) while scoring 44.4 on the Intelligence Index. Switch down for high-volume work where MiMo V2.5 Pro's edge isn't earning its rate.
Switch to DeepSeek V4 Pro
DeepSeek V4 Pro streams ~62 tokens/sec to MiMo V2.5 Pro's ~56 at a comparable blended cost ($0.5438 per million tokens). Use it when iteration speed matters more than squeezing out the last point of quality.
Switch to MiMo V2.5
MiMo V2.5 is the nearest Xiaomi sibling — same house style, lower price point ($0.175 versus $0.5438 blended per million tokens). The natural swap when you want to stay in the family.
What you pay for MiMo V2.5 Pro
MiMo V2.5 Pro is billed per token at the rates below — the same billing tables the Usage page charges against, so this page cannot quote a different price than you pay.
Blended cost (3:1 input:output, the shape of a typical coding session) works out to $0.5438 per million tokens.
| Per 1M tokens | Input | Output | Cache read |
|---|---|---|---|
| All requests | $0.435 | $0.87 | $0.0036 |
In Command Code: caching and taste-1
Open-source models are routed across multiple upstream providers for high availability. The price you see is the mean per-provider rate; the Usage page reflects what was actually charged.
Where supported by the upstream, prompt caching is on by default — cache reads are billed at $0.0036 per million tokens versus $0.435 for fresh input.
taste-1 sits between the model and the agent loop, rewriting and reranking candidate edits to match your codebase conventions.
Plan availability
MiMo V2.5 Pro is an open-source model, available on every plan including Go.
Command Code is a subscription with model usage at API rates. Each plan ships with monthly LLM credits; credits roll over and never expire, and auto top-up keeps you running if you go over.
| Plan | Price/mo | LLM credits | Models |
|---|---|---|---|
| Go | $1 | $10 | Open-source only |
| Pro | $15 | $30 | Open-source + premium |
| Provider | $15 | Pay as you go | Open-source + premium |
| Max 10× | $100 | $150 | Open-source + premium |
| Max 20× | $200 | $300 | Open-source + premium |
| Teams Pro | $40 / seat | $40 / seat | Open-source + premium |
| Enterprise | Custom | Custom | Custom pool, SSO, audit logs |
Switching models with /model
In an interactive Command Code session, run /model to open the model selector. Pick MiMo V2.5 Pro and it applies to this session and to future sessions until you change it again. Premium models require Pro or higher; open-source models are available on every plan, including Go.
cmd # start an interactive session
/model # open the selector and pick MiMo V2.5 ProAll Command Code models, ranked by quality and speed
Quality is the Intelligence Index — an aggregate score across reasoning, math, coding, and knowledge evaluations. Speed is measured output tokens per second. Models without a published score are noted. This table is regenerated from the model registry, so it is always current.
| Model | Tier | Intelligence Index | Output speed |
|---|---|---|---|
| Claude Fable 5 | Premium | 59.9 | ~62 tok/s |
| GPT-5.6 Sol | Premium | 58.9 | ~77 tok/s |
| Claude Opus 4.8 | Premium | 55.7 | ~55 tok/s |
| GPT-5.6 Terra | Premium | 55 | ~155 tok/s |
| GPT-5.5 | Premium | 54.8 | ~81 tok/s |
| Grok 4.5 | Open-source | 53.8 | ~114 tok/s |
| Claude Opus 4.7 | Premium | 53.5 | ~52 tok/s |
| Claude Sonnet 5 | Premium | 53.4 | ~79 tok/s |
| GPT-5.4 | Premium | 51.4 | ~164 tok/s |
| GPT-5.6 Luna | Premium | 51.2 | ~234 tok/s |
| GLM-5.2 | Open-source | 51.1 | ~208 tok/s |
| Muse Spark 1.1 | Premium | 50.6 | ~130 tok/s |
| Gemini 3.5 Flash | Premium | 50.2 | ~236 tok/s |
| Claude Sonnet 4.6 | Premium | 47.2 | ~55 tok/s |
| Qwen 3.7 Max | Open-source | 46 | ~196 tok/s |
| MiniMax M3 | Open-source | 44.4 | ~113 tok/s |
| DeepSeek V4 Pro | Open-source | 44.3 | ~62 tok/s |
| GPT-5.3 Codex | Premium | 44.3 | ~106 tok/s |
| Kimi K2.6 | Open-source | 44.2 | ~43 tok/s |
| MiMo V2.5 Pro (this page) | Open-source | 42.2 | ~56 tok/s |
| Kimi K2.7 Code | Open-source | 41.9 | ~46 tok/s |
| Tencent Hy3 | Open-source | 41.2 | ~58 tok/s |
| DeepSeek V4 Flash | Open-source | 40.3 | ~106 tok/s |
| GLM-5.1 | Open-source | 40.2 | ~81 tok/s |
| Qwen 3.6 Max Preview | Open-source | 40 | ~46 tok/s |
| GPT-5.4 Mini | Premium | 40 | ~171 tok/s |
| Qwen 3.6 Plus | Open-source | 39.6 | ~53 tok/s |
| GLM-5 | Open-source | 39.5 | ~51 tok/s |
| Qwen 3.7 Plus | Open-source | 39 | ~52 tok/s |
| Kimi K2.5 | Open-source | 38.1 | ~51 tok/s |
| MiniMax M2.7 | Open-source | 38.1 | ~49 tok/s |
| Nemotron 3 Ultra | Open-source | 37.8 | ~204 tok/s |
| MiMo V2.5 | Open-source | 37.2 | ~88 tok/s |
| MiniMax M2.5 | Open-source | 33.7 | ~78 tok/s |
| Step 3.7 Flash | Open-source | 30.3 | ~407 tok/s |
| Step 3.5 Flash | Open-source | 26 | ~207 tok/s |
| Gemini 3.1 Flash Lite | Premium | 25 | ~300 tok/s |
| Claude Haiku 4.5 | Premium | 23.7 | ~103 tok/s |
| Kimi K3 | Open-source | Not yet scored | — |
| Kimi K2.7 Code HighSpeed | Open-source | Not yet scored | — |
| GLM-5.2 Fast | Open-source | Not yet scored | — |
| Inkling | Open-source | Not yet scored | — |
| Fugu Ultra | Premium | Not yet scored | — |
Frequently asked questions
MiMo V2.5 Pro or Kimi K2.6?
Kimi K2.6 scores higher on the Intelligence Index (44.2 vs 42.2) at $1.7125 blended per million tokens against MiMo V2.5 Pro's $0.5438. Default to MiMo V2.5 Pro and switch up when a task keeps stalling.
MiMo V2.5 Pro or MiniMax M3?
MiniMax M3 is about 28% cheaper blended ($0.3938 vs $0.5438 per million tokens), scoring 44.4 on the Intelligence Index. Use MiniMax M3 for volume work and MiMo V2.5 Pro where its edge earns the difference.
How much does MiMo V2.5 Pro cost in Command Code?
$0.435 per million input tokens and $0.87 per million output tokens, with cache reads at $0.0036. In an agent loop, cached context brings effective input to roughly $0.133 per million tokens.
What plan do I need for MiMo V2.5 Pro?
MiMo V2.5 Pro is available on every plan, including Go at $1/mo.
How good is MiMo V2.5 Pro at coding?
MiMo V2.5 Pro scores 60.2 on the Coding Index — the Artificial Analysis sub-score most predictive of coding-agent performance — alongside 42.2 overall.
Does MiMo V2.5 Pro support image input and reasoning?
MiMo V2.5 Pro is text-only; paste code and logs rather than screenshots. It does not expose a reasoning mode.
Which Command Code model should I use?
Claude Fable 5 currently leads the lineup on the Intelligence Index (59.9). Grok 4.5 (53.8) leads the open-weights tier, available on every plan. For fast lookups, Step 3.7 Flash streams ~407 tok/s. There is no single right answer — switch per session with /model and let the task pick the model.
Can I mix MiMo V2.5 Pro with other models in a workflow?
Yes. Switch per session using /model. Common pattern: keep a default model and switch up for hard problems or down for quick lookups as the task calls for it.
Are open-source model prices fixed?
Open-source models are routed across multiple upstream providers for high availability. The price listed for each is the mean per-provider rate. Actual cost on a given request may vary slightly. The Usage page reflects the price charged.
MiMo V2.5 Pro or MiMo V2.5?
Pro is the high-capability variant for harder long-context work. V2.5 is the lighter, cheaper option ($0.14 vs $0.435 input) for high-volume runs.
Why no Intelligence Index for MiMo V2.5 Pro?
Public aggregate benchmarks have not yet been published for MiMo V2.5 Pro in the current Intelligence Index format. The model is available and routed normally.
Is Command Code free to try?
The Go plan starts at $1/mo with $10 in LLM credits. It covers open-source models only. Pro at $15/mo unlocks premium models with $30 in LLM credits.
Does Command Code train on my code?
No. Command Code does not train on your code or store your code snippets. taste-1 data is stored locally in your project directory.
Where can I track my usage?
The Usage page in Studio shows per-request cost, token counts, and which model ran. Settings > Billing lets you change plans, buy credits, or enable auto top-up.
Does Command Code replace my editor?
No. Command Code is editor-agnostic — it runs as a CLI and works alongside any editor (Cursor, VS Code, Zed, JetBrains, Neovim, etc.).
Related reading
- MiMo V2.5 in Command Codeefficient long-context agentic coding
- Kimi K2.7 Code in Command Codeimproved long-horizon coding with vision
- Tencent Hy3 in Command Codesparse-MoE reasoning & agentic tool use
- Every model, one referenceThe docs list of all Command Code models with ids and context windows.
- Pricing, limits, and dealsThe canonical price table, running deals, and usage estimates.
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