Intelligence index
38
Output speed
77.3 tok/s
Input
$0.14 /M
Output
$0.28 /M
Cache read
$0.0028 /M
Agent-loop cost
$0.04 /M in
Context window
1M tokens
Released
April 22, 2026
Modalities
→
deal spotlight
98% off, applied at billing rather than at checkout. Every price and calculator on this page already quotes the discounted rate.
Input $/M
$0.14
was $0.80
Output $/M
$0.28
was $4.00
Cache read $/M
$0.0028
was $0.16
No code, no toggle. Pick MiMo V2.5 from /model in the CLI and the discounted rate applies automatically.
vs. the lineup
MiMo V2.5 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◆ |
| MiMo V2.5 Pro | 42.9◆ | 60.2◆ | 51.4◆ | $0.43◆ | $0.87◆ | $0.54◆ | 1M◆ |
| MiniMax M2.7 | 38.9◆ | 52.6◆ | —◆ | $0.30◆ | $1.20◆ | $0.52◆ | 200K◆ |
| Nemotron 3 Ultra | 38.3◆ | 49.3◆ | 122.2◆ | $0.60◆ | $2.40◆ | $1.05◆ | 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 has been left empty.
Coding Index
56.8
#28 of 40 scored
Terminal-Bench
63.7
#28 of 40 scored
Intelligence Index
38
#39 of 46 scored
Long-context reasoning
68.3
reasoning across a long context
SciCode
43.1
scientific coding
GPQA Diamond
84.9
graduate-level QA
usage calculator
How far a month of credits goes on MiMo V2.5.
Input tokensfresh prompt
800Output tokensmodel reply
180Cache read tokensre-read context
50Kcost / request $0.0003 · in $0.14 · out $0.28 · cache $0.0028 per M
fresh input 37%output 17%cache reads 46%
Requests / 30 days
33K
$10 credits ÷ $0.0003 per request
~6.6K quick fixes~1.3K bug fixes~220 feature PRs
what real work costs
Real coding tasks priced end to end on MiMo V2.5, from a quick lookup to a full-repo agent run.
One agent task
$0.01
180K in at 75% cache hit, 12K out
What you pay
$0.05 /M
all-in across every token that task touched
Sticker input
$0.14 /M
cache reads bill at $0.0028 /M instead
| Task | Tokens in · out | MiMo V2.5 | Muse Spark 1.2 Contributor | Claude Haiku 4.5 |
|---|---|---|---|---|
| Quick lookup / one-liner | 8K · 1K | $0.0004 | $0.0003 | $0.0065 |
| Review a 500-line PR | 60K · 4K | $0.0038 | $0.0027 | $0.04 |
| Fix a bug (agent loop) | 180K · 12K | $0.01 | $0.0072 | $0.12 |
| Refactor a module | 320K · 20K | $0.02 | $0.01 | $0.21 |
| Full-repo agent run | 900K · 45K | $0.04 | $0.03 | $0.49 |
frequently asked
What is MiMo V2.5 best for?
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 tasks. Its 1M context window supports complete documents, extended conversations, and complex task contexts in a single pass, making it ideal for integration with agent frameworks where strong reasoning, rich perception, and cost efficiency all matter.
How much does MiMo V2.5 cost?
$0.14/M input and $0.28/M output, cache reads $0.0028/M. In an agent loop most input is cache-read, so the effective input rate is about $0.04/M.Which plan do I need?
Available on Go and above.
How do I switch to it?
Run
cmd --model xiaomi/mimo-v2.5, or type /model in a session and pick it. You can switch mid-session without losing context.Ship code that matches your taste
Command Code is the AI coding agent that continuously learns your taste. Start for $1.
Benchmarks from Artificial Analysis (v4.1)commandcode.ai/models/mimo-v2-5