MiMo V2.5

-98%
xiaomi/mimo-v2.5

efficient long-context agentic coding.

cmd --model xiaomi/mimo-v2.5
Intelligence index
25.2
Coding index
56.8
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:
ModelIntelligenceCodingInput $/MOutput $/MBlended $/MContext
MiMo V2.6 Pro46.3◆—$0.43$0.87$0.541.05M◆
MiMo V2.6 Flash37.9—$0.14◆$0.28◆$0.18◆1.05M◆
MiMo V2.5 Pro2660.2$0.43$0.87$0.541M
Tencent Hy325.358.8$0.14◆$0.58$0.25262K
MiMo V2.5 ◆25.256.8$0.14◆$0.28◆$0.18◆1M
MiMo V2.6 Pro UltraSpeed——$4.35$8.70$5.441.05M◆
DeepSeek V4 Pro (latest)pinned3668.8$0.66$1.98$0.991M
DeepSeek V4 Flash (latest)pinned3469.1◆$0.15$0.60$0.261M

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
#39 of 52 scored
Terminal-Bench
63.7
#39 of 52 scored
Intelligence Index
25.2
#56 of 68 scored
Long-context reasoning
73
reasoning across a long context
SciCode
43.9
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
800
Output tokensmodel reply
180
Cache read tokensre-read context
50K
cost / 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
20K
$6 credits ÷ $0.0003 per request
~4.0K quick fixes~794 bug fixes~132 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
TaskTokens in · outMiMo V2.5Claude Haiku 4.5
Quick lookup / one-liner8K · 1K$0.0004$0.0065
Review a 500-line PR60K · 4K$0.0038$0.04
Fix a bug (agent loop)180K · 12K$0.01$0.12
Refactor a module320K · 20K$0.02$0.21
Full-repo agent run900K · 45K$0.04$0.49

frequently asked

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.

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Benchmarks from Artificial Analysis (v4.3)commandcode.ai/models/mimo-v2-5