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Model comparison - Same provider, successor

MiniMax-M2.7 vs MiniMax-M3

MiniMax-M2.7 and MiniMax-M3 are both MiniMax models. Both list the same first-party API price: $0.30 per 1M input tokens and $1.20 per 1M output tokens. MiniMax-M2.7 has a 204,800-token context window and MiniMax-M3 1,000,000 tokens; max output is 204,800 and 524,288 tokens per response. MiniMax-M2.7 was released on March 18, 2026 and MiniMax-M3 on June 1, 2026. Both publish open weights.

Last verified from each provider's pricing page. All sources

MiniMax - Open

MiniMax-M2.7
Input / 1M
$0.30
Output / 1M
$1.20
Context
205K

MiniMax - Open

MiniMax-M3
Input / 1M
$0.30
Output / 1M
$1.20
Context
1M

Side-by-side specs

SpecMiniMax-M2.7MiniMax-M3
ProviderMiniMaxMiniMax
Input / 1M tokens$0.30$0.30
Output / 1M tokens$1.20$1.20
Cache read / 1M$0.06$0.06
Cache write / 1M$0.375-
Long-context rates above-512,000 tokens
Context window204,8001,000,000
Max output204,800524,288
Release date
WeightsOpenOpen
LicenseMiniMax M2.7 Non-Commercial License (Hugging Face license tag: other)MiniMax Community License (Hugging Face license tag: other / minimax-community)
API model idMiniMax-M2.7MiniMax-M3
AI Gateway idminimax/minimax-m2.7minimax/minimax-m3
Last verified

Prices in USD per 1M tokens at each provider's standard first-party rate. A dash means the provider does not bill that item separately or no primary page states it.

What each costs in practice

The same three workloads every model page uses, worked from each model's standard list rates. Swap in your own token counts with the math on each model's page.

WorkloadMiniMax-M2.7MiniMax-M3
One agent session1M input tokens and 100K output tokens, no caching.$0.42$0.42
A chat app10,000 requests a day at 2K input and 500 output tokens each.$12.00$360.00 per 30-day month$12.00$360.00 per 30-day month
The same session at a 90% cache hit90% of the input is read from the prompt cache. The one-time cache write premium is not included.$0.204$0.204
Show the math

MiniMax-M2.7

  • One agent sessionInput: 1M x $0.30 = $0.30Output: 0.1M x $1.20 = $0.12
  • A chat appInput: 20M x $0.30 = $6.00Output: 5M x $1.20 = $6.00
  • The same session at a 90% cache hitCached input: 0.9M x $0.06 = $0.054Uncached input: 0.1M x $0.30 = $0.03Output: 0.1M x $1.20 = $0.12

MiniMax-M3

  • One agent sessionInput: 1M x $0.30 = $0.30Output: 0.1M x $1.20 = $0.12
  • A chat appInput: 20M x $0.30 = $6.00Output: 5M x $1.20 = $6.00
  • The same session at a 90% cache hitCached input: 0.9M x $0.06 = $0.054Uncached input: 0.1M x $0.30 = $0.03Output: 0.1M x $1.20 = $0.12

Benchmarks under the same setting

No board in the benchmark directory lists both MiniMax-M2.7 and MiniMax-M3 under the same setting, so there is no like-for-like score to show here.

Set them up in your tools

Step-by-step guides whose official docs list MiniMax-M2.7 or MiniMax-M3 by model id.

Model pages

FAQ

How do MiniMax-M2.7 and MiniMax-M3 compare on price?

Both list the same first-party API price: $0.30 per 1M input tokens and $1.20 per 1M output tokens. For one agent session of 1M input and 100K output tokens with no caching, that is $0.42 on MiniMax-M2.7 and $0.42 on MiniMax-M3. Prices are each provider's first-party list rates, verified October 17, 2026 and October 17, 2026.

What are the context windows of MiniMax-M2.7 and MiniMax-M3?

MiniMax-M2.7 has a 204,800-token context window and MiniMax-M3 1,000,000 tokens; max output is 204,800 and 524,288 tokens per response.

Are MiniMax-M2.7 and MiniMax-M3 open weights?

MiniMax-M2.7's weights are published at huggingface.co under the MiniMax M2.7 Non-Commercial License (Hugging Face license tag: other). MiniMax-M3's weights are published at huggingface.co under the MiniMax Community License (Hugging Face license tag: other / minimax-community).

More comparisons

Sources

MiniMax-M2.7 verified from platform.minimax.io; MiniMax-M3 verified from platform.minimax.io. This page is as current as the older of the two: .

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