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CostPerPrompt

MiniMax M2-her API Pricing

MiniMax · context window 66K · prices updated 2026-09-15

Input per 1M tokens
$0.3
Output per 1M tokens
$1.20
Cached input per 1M
$0.03
90% cheaper than fresh input

Where MiniMax M2-her sits on price

At $1.20 per million output tokens, MiniMax M2-her is a mid tier model — 1.7× cheaper than the median output price of $2.08, which puts it cheaper than 65% and pricier than 35% of the models we track. It sits 7th cheapest of the 9 MiniMax models we track. Output costs 4.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
833,333
One full context fill
$0.0197
Cheaper than
65% of tracked models

Cached input is 90% cheaper. On an input-heavy workload you need roughly a 28% 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-her

These three workloads are the ones teams actually run on a mid-priced model — a $1.20/1M 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. $0.0032 $47.70
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.0015 $450
Small app — 1K requests/day (500 in / 150 out) The baseline most side projects actually run at. $0.0003 $9.90

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

MiniMax M2-her price history

MiniMax M2-her's price has not moved since we began tracking it on Aug 2, 2026 — 44 days of stability in a market where 78 of the 334 models we track have repriced over the same period, including 4 of MiniMax's own 9 models.

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

MiniMax M2-her vs Qwen3 Next 80B A3B Thinking

The closest-priced alternative from another vendor is Qwen3 Next 80B A3B Thinking (Alibaba (Qwen)) — priced within a rounding error on output, with $0.15 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 Qwen3 Next 80B A3B Thinking pricing →

Cheaper alternatives

More MiniMax models

Frequently asked questions

How much does the MiniMax M2-her API cost?

MiniMax M2-her costs $0.3 per million input tokens and $1.20 per million output tokens, with cached input at $0.03 per million (90% cheaper). That works out to roughly 833,333 output tokens per dollar.

What does the support chatbot workload cost on MiniMax M2-her?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0032 per request and $47.70 per month on MiniMax M2-her. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill MiniMax M2-her's 66K context window?

Sending 66K of input in a single request costs $0.0197 at $0.3 per million tokens — before any output. With prompt caching that same fill drops to about $0.002 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

Is MiniMax M2-her worth the price?

MiniMax M2-her sits in the middle of the market (7 of 9 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.