MiMo V2.5 Pro
-99%xiaomi/mimo-v2.5-pro
high-capability long-context agentic coding.
cmd --model xiaomi/mimo-v2.5-pro
Intelligence index
42.9
Output speed
51.4 tok/s
Input
$0.43 /M
Output
$0.87 /M
Cache read
$0.0036 /M
Agent-loop cost
$0.13 /M in
Context window
1M tokens
Released
April 22, 2026
Modalities
→
deal spotlight
99% off, applied at billing rather than at checkout. Every price and calculator on this page already quotes the discounted rate.
Input $/M
$0.435
was $2.00
Output $/M
$0.87
was $6.00
Cache read $/M
$0.0036
was $0.40
No code, no toggle. Pick MiMo V2.5 Pro from /model in the CLI and the discounted rate applies automatically.
vs. the lineup
MiMo V2.5 Pro beside its stablemates and nearest rivals. The ◆ marks the best value in each column across every row shown.
pin a rival:
| Model | Intelligence | Coding | Speed | Input $/M | Output $/M | Blended $/M | Context |
|---|---|---|---|---|---|---|---|
| Muse Spark 1.2 Contributor | 56.8◆ | 72.2◆ | —◆ | $0.10◆ | $0.20◆ | $0.13◆ | 1.05M◆ |
| Kimi K2.6 | 45.1◆ | 61.8◆ | —◆ | $0.95◆ | $4◆ | $1.71◆ | 256K◆ |
| Kimi K2.7 Code | 43◆ | 60.8◆ | 40.5◆ | $0.95◆ | $4◆ | $1.71◆ | 256K◆ |
| MiMo V2.5 Pro ◆ | 42.9◆ | 60.2◆ | 51.4◆ | $0.43◆ | $0.87◆ | $0.54◆ | 1M◆ |
| MiMo V2.5 | 38◆ | 56.8◆ | 77.3◆ | $0.14◆ | $0.28◆ | $0.18◆ | 1M◆ |
| Step 3.7 Flash | 30.9◆ | 39.6◆ | 391.3◆ | $0.20◆ | $1.15◆ | $0.44◆ | 256K◆ |
| DeepSeek V4 Pro (latest)pinned | 45.3◆ | 59.4◆ | 63.3◆ | $0.66◆ | $1.98◆ | $0.99◆ | 1M◆ |
| DeepSeek V4 Flash (latest)pinned | 52◆ | 69.1◆ | 115.9◆ | $0.22◆ | $0.66◆ | $0.33◆ | 1M◆ |
coding performance
The Intelligence Index and its sub-scores, ranked against every scored model in the catalog. A metric that has not been measured for MiMo V2.5 Pro has been left empty.
Coding Index
60.2
#24 of 40 scored
Terminal-Bench
65.2
#25 of 40 scored
Intelligence Index
42.9
#27 of 46 scored
Long-context reasoning
77.7
reasoning across a long context
SciCode
50.2
scientific coding
GPQA Diamond
86.6
graduate-level QA
usage calculator
How far a month of credits goes on MiMo V2.5 Pro.
Input tokensfresh prompt
800Output tokensmodel reply
180Cache read tokensre-read context
50Kcost / request $0.0007 · in $0.43 · out $0.87 · cache $0.0036 per M
fresh input 51%output 23%cache reads 26%
Requests / 30 days
15K
$10 credits ÷ $0.0007 per request
~2.9K quick fixes~584 bug fixes~97 feature PRs
what real work costs
Real coding tasks priced end to end on MiMo V2.5 Pro, from a quick lookup to a full-repo agent run.
One agent task
$0.03
180K in at 75% cache hit, 12K out
What you pay
$0.16 /M
all-in across every token that task touched
Sticker input
$0.43 /M
cache reads bill at $0.0036 /M instead
| Task | Tokens in · out | MiMo V2.5 Pro | Muse Spark 1.2 Contributor | Claude Haiku 4.5 |
|---|---|---|---|---|
| Quick lookup / one-liner | 8K · 1K | $0.0012 | $0.0003 | $0.0065 |
| Review a 500-line PR | 60K · 4K | $0.01 | $0.0027 | $0.04 |
| Fix a bug (agent loop) | 180K · 12K | $0.03 | $0.0072 | $0.12 |
| Refactor a module | 320K · 20K | $0.06 | $0.01 | $0.21 |
| Full-repo agent run | 900K · 45K | $0.13 | $0.03 | $0.49 |
frequently asked
What is MiMo V2.5 Pro best for?
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro. It can independently and autonomously complete professional tasks that would take human experts days or weeks, involving more than a thousand tool calls. Its context length of up to 1M makes it well suited for integration with a wide range of agent frameworks.
How much does MiMo V2.5 Pro cost?
$0.43/M input and $0.87/M output, cache reads $0.0036/M. In an agent loop most input is cache-read, so the effective input rate is about $0.13/M.Which plan do I need?
Available on Go and above.
How do I switch to it?
Run
cmd --model xiaomi/mimo-v2.5-pro, or type /model in a session and pick it. You can switch mid-session without losing context.Ship code that matches your taste
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Benchmarks from Artificial Analysis (v4.1)commandcode.ai/models/mimo-v2-5-pro