Traffic rank on Composite
#92 of 190
0.03% of tokens and 0.03% of requests over 30 days.
AI model
xiaomi/mimo-v2.5
Xiaomi: MiMo-V2.5 is a 1,050,000-token model served on Composite at $0.500 per million tokens in and $2.50 per million tokens out. Ranked #92 of 190 models by traffic on Composite over the last 30 days, taking 0.03% of tokens and 0.03% of requests.
Try in Playground| Model ID | xiaomi/mimo-v2.5 |
|---|---|
| Provider | cv11 |
| Context window | 1,050,000 tokens |
| Accepts | text, audio, image, video |
| Returns | text |
| Input price | $0.500 per million tokens |
| Output price | $2.50 per million tokens |
| Prompt caching | Supported — cached input is billed at the provider's cache rate, on credits and plans alike |
| Moderated | No |
| Cost on a monthly plan | About 5.2 plan credits per typical call (8k in, 1k out) |
| Routing endpoints | 2 (base plus 1 routing variant) |
#92 of 190
0.03% of tokens and 0.03% of requests over 30 days.
The same model behind 1 alternative endpoint. Call the id directly to pin a route; the base id above picks for you.
| Route | Model ID | Provider | Price |
|---|---|---|---|
| cheapThink | xiaomi/mimo-v2.5:cheapThink |
cv11 | $0.500 per million tokens input · $2.50 per million tokens output |
$0.500 per million tokens input · $2.50 per million tokens output
Credits pay the provider’s price plus 25%; cache hits cost less.
On a monthly plan, a typical call (8k tokens in, 1k out) uses about 5.2 plan credits, at the provider's own price.
cv11
MiMo models are a newer entrant focused on efficient inference, which tends to show up as lower latency per reply.
With a 1,050,000-token context window, it can hold a long-running roleplay or a full lorebook in memory without losing earlier plot details, so it suits multi-session campaigns and character cards with heavy backstory.
It sits in the mid-range on price, a reasonable pick for regular roleplay use without going for the cheapest option available.
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...
Supplied by cv11, not written by Composite.
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