MiniMax M2.5
minimaxai/minimax-m2.5
cross-platform full-stack agentic dev.
cmd --model minimaxai/minimax-m2.5
Intelligence index
22.8
Output speed
not yet scored
Input
$0.30 /M
Output
$1.20 /M
Cache read
$0.03 /M
Agent-loop cost
$0.11 /M in
Context window
200K tokens
Released
February 12, 2026
Modalities
→
vs. the lineup
MiniMax M2.5 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 1.3 Contributor | 48.1◆ | 75.8◆ | 247.5◆ | $0.10◆ | $0.20◆ | $0.13◆ | 1.05M◆ |
| MiniMax M3 | 29.2◆ | 58.6◆ | 159.3◆ | $0.30◆ | $1.20◆ | $0.52◆ | 1M◆ |
| Nemotron 3 Ultra | 22.9◆ | 49.3◆ | 159.3◆ | $0.60◆ | $2.40◆ | $1.05◆ | 1M◆ |
| MiniMax M2.5 ◆ | 22.8◆ | —◆ | —◆ | $0.30◆ | $1.20◆ | $0.52◆ | 200K◆ |
| MiniMax M2.7 | 22.8◆ | 52.6◆ | —◆ | $0.30◆ | $1.20◆ | $0.52◆ | 200K◆ |
| Gemini 3.5 Flash Lite | 22.2◆ | 49.3◆ | 370◆ | $0.30◆ | $2.50◆ | $0.85◆ | 1M◆ |
| DeepSeek V4 Pro (latest)pinned | 36◆ | 68.8◆ | 78.6◆ | $0.66◆ | $1.98◆ | $0.99◆ | 1M◆ |
| DeepSeek V4 Flash (latest)pinned | 34◆ | 69.1◆ | —◆ | $0.15◆ | $0.60◆ | $0.26◆ | 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 MiniMax M2.5 has been left empty.
IFBench
71.6
instruction following
Intelligence Index
22.8
#61 of 67 scored
Long-context reasoning
73.3
reasoning across a long context
GPQA Diamond
84.8
graduate-level QA
usage calculator
How far a month of credits goes on MiniMax M2.5.
Input tokensfresh prompt
800Output tokensmodel reply
180Cache read tokensre-read context
50Kcost / request $0.0020 · in $0.30 · out $1.20 · cache $0.03 per M
fresh input 12%output 11%cache reads 77%
Requests / 30 days
5.1K
$10 credits ÷ $0.0020 per request
~1.0K quick fixes~204 bug fixes~34 feature PRs
what real work costs
Real coding tasks priced end to end on MiniMax M2.5, 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
$0.17 /M
all-in across every token that task touched
Sticker input
$0.30 /M
cache reads bill at $0.03 /M instead
| Task | Tokens in · out | MiniMax M2.5 | Muse Spark 1.3 Contributor | Claude Haiku 4.5 |
|---|---|---|---|---|
| Quick lookup / one-liner | 8K · 1K | $0.0017 | $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
How much does MiniMax M2.5 cost?
$0.30/M input and $1.20/M output, cache reads $0.03/M. In an agent loop most input is cache-read, so the effective input rate is about $0.11/M.Which plan do I need?
Available on Go and above.
How do I switch to it?
Run
cmd --model minimaxai/minimax-m2.5, 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 (v4.3)commandcode.ai/models/minimax-m2-5