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CostPerPrompt

MiniMax M2.7 API Pricing

MiniMax · context window 205K · prices updated 2026-09-29

Input per 1M tokens
$0.21
Output per 1M tokens
$0.84
Cached input per 1M
$0.042
80% cheaper than fresh input

Where MiniMax M2.7 sits on price

At $0.84 per million output tokens, MiniMax M2.7 is a mid tier model — 2.6× cheaper than the median output price of $2.20, which puts it cheaper than 72% and pricier than 28% of the models we track. It is the cheapest of the 8 MiniMax models we track. Output costs 4.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
1,190,476
One full context fill
$0.043
Cheaper than
72% of tracked models

Cached input is 80% cheaper. On an input-heavy workload you need roughly a 31% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on MiniMax M2.7

These three workloads are the ones teams actually run on a mid-priced model — a $0.84/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.0022 $33.39
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0011 $315
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0002 $6.93

Model your exact traffic in the API cost calculator — it preloads MiniMax M2.7 with caching and batch options.

MiniMax M2.7 price history

MiniMax last cut MiniMax M2.7's output price on Sep 29, 2026 (-30% per output token), from $0.3/$1.20 to $0.21/$0.84 per 1M in/out. That is one of 7 repricings in the 58 days we have tracked it — worth knowing before you hard-code today's rate into a budget.

Date Input /1M Output /1M Output change
Aug 2, 2026 (tracking began) $0.25 $1.00 —
Aug 5, 2026 $0.27 $1.08 +8%
Aug 9, 2026 $0.3 $1.20 +11%
Aug 24, 2026 $0.24 $0.96 -20%
Aug 25, 2026 $0.3 $1.20 +25%
Sep 27, 2026 $0.21 $0.84 -30%
Sep 28, 2026 $0.3 $1.20 +43%
Sep 29, 2026 $0.21 $0.84 -30%

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

MiniMax M2.7 vs GLM 4.5 Air

The closest-priced alternative from another vendor is GLM 4.5 Air (Z.ai (GLM)) — priced within a rounding error on output, with $0.08 less per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See GLM 4.5 Air pricing →

Cheaper alternatives

More MiniMax models

Frequently asked questions

› How much does the MiniMax M2.7 API cost?

MiniMax M2.7 costs $0.21 per million input tokens and $0.84 per million output tokens, with cached input at $0.042 per million (80% cheaper). That works out to roughly 1,190,476 output tokens per dollar.

› What does the support chatbot workload cost on MiniMax M2.7?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0022 per request and $33.39 per month on MiniMax M2.7. Conversation history re-sent each turn — the classic prompt-caching win.

› What does it cost to fill MiniMax M2.7's 205K context window?

Sending 205K of input in a single request costs $0.043 at $0.21 per million tokens — before any output. With prompt caching that same fill drops to about $0.0086 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

› Is MiniMax M2.7 worth the price?

MiniMax M2.7 sits in the middle of the market (1 of 8 by price within MiniMax). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.