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MiniMax M3

-50%
minimaxai/minimax-m3

frontier coding, agents & native multimodality.

cmd --model minimaxai/minimax-m3
Intelligence index
45.4
Output speed
111.3 tok/s
Input
$0.30 /M
Output
$1.20 /M
Cache read
$0.06 /M
Agent-loop cost
$0.13 /M in
Context window
1M tokens
Released
June 1, 2026
Modalities

deal spotlight

50% off, applied at billing rather than at checkout. Every price and calculator on this page already quotes the discounted rate.

Standard · ≤ 512K
Input $/M
$0.30
was $0.60
Output $/M
$1.20
was $2.40
Cache read $/M
$0.06
was $0.12
Long context · > 512K
Input $/M
$0.30
was $0.60
Output $/M
$1.20
was $2.40
Cache read $/M
$0.06
was $0.12
No code, no toggle. Pick MiniMax M3 from /model in the CLI and the discounted rate applies automatically.

vs. the lineup

MiniMax M3 beside its stablemates and nearest rivals. The ◆ marks the best value in each column across every row shown.

pin a rival:
ModelIntelligenceCodingSpeedInput $/MOutput $/MBlended $/MContext
GLM-5.3 Flash57.571.541.8$0.15$0.50$0.241.05M
GPT-5.3 Codex45.5121.4$2$8$3.50400K
MiniMax M345.458.6111.3$0.30$1.20$0.521M
MiniMax M2.738.952.6$0.30$1.20$0.52200K
Gemini 3.5 Flash Lite37.449.3368.8$0.30$2.50$0.851M
MiniMax M2.534.5$0.30$1.20$0.52200K
DeepSeek V4 Pro (latest)pinned53.268.861$0.66$1.98$0.991M
DeepSeek V4 Flash (latest)pinned5269.1129$0.22$0.66$0.331M

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 M3 has been left empty.

Coding Index
58.6
#33 of 46 scored
Terminal-Bench
65.2
#31 of 46 scored
Intelligence Index
45.4
#30 of 52 scored
Long-context reasoning
80.3
reasoning across a long context
SciCode
45.4
scientific coding
GPQA Diamond
92.9
graduate-level QA

price bands

MiniMax M3 is not billed at one flat rate — the price changes with how much context a request carries. The header quotes the standard band; here is every band.

BandContextInput $/MOutput $/MCache read $/M
Standard≤ 512K$0.30$1.20$0.06
Long context> 512K$0.30$1.20$0.06

usage calculator

How far a month of credits goes on MiniMax M3.

Input tokensfresh prompt
800
Output tokensmodel reply
180
Cache read tokensre-read context
50K
cost / request $0.0035 · in $0.30 · out $1.20 · cache $0.06 per M
fresh input 7%output 6%cache reads 87%
Requests / 30 days
2.9K
$10 credits ÷ $0.0035 per request
~579 quick fixes~116 bug fixes~19 feature PRs

what real work costs

Real coding tasks priced end to end on MiniMax M3, from a quick lookup to a full-repo agent run.

One agent task
$0.04
180K in at 75% cache hit, 12K out
What you pay
$0.19 /M
all-in across every token that task touched
Sticker input
$0.30 /M
cache reads bill at $0.06 /M instead
TaskTokens in · outMiniMax M3GLM-5.3 FlashClaude Haiku 4.5
Quick lookup / one-liner8K · 1K$0.0019$0.0008$0.0065
Review a 500-line PR60K · 4K$0.01$0.0060$0.04
Fix a bug (agent loop)180K · 12K$0.04$0.02$0.12
Refactor a module320K · 20K$0.06$0.03$0.21
Full-repo agent run900K · 45K$0.16$0.07$0.49

frequently asked

How much does MiniMax M3 cost?
$0.30/M input and $1.20/M output, cache reads $0.06/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 minimaxai/minimax-m3, 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 (v4.1)commandcode.ai/models/minimax-m3