ModelPriceWatch.com
Last scan 2026-09-15 Models tracked 259 Providers 32 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

MiniMax-M2.7

by MiniMax

Current budget open weights cheap tier
Email me when MiniMax-M2.7 gets cheaper

Today's price · per 1M tokens

Input

$0.300

per 1M tokens

Output

$1.20

per 1M tokens

Blended

$0.525

blended $/1M — 3:1 weighted input:output

Cached input

$0.060

20% of input — prompt caching

Source: official MiniMax pricing · read MODELPRICEWATCH.COM · 2026-09-15

Price receipt

We read MiniMax's own pricing page on and found MiniMax-M2.7 listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is 9009641f54.

Available on 2 hosts

cheapest blended first · $ per 1M tokens

MiniMax-M2.7 is sold by 2 providers. Prices are per 1M tokens (blended = (3×input + 1×output) ÷ 4). The first-party row is the model maker; “vs first-party” shows each host’s blended price relative to it.

MiniMax-M2.7 price on every host still selling it, per 1M tokens, cheapest blended first
Host Input Output Blended vs first-party
Fireworks details → $0.300 $1.20 $0.525 0%
MiniMax first-party $0.300 $1.20 $0.525 —
Each host links to its provider page and official pricing. Prices refresh twice daily. MODELPRICEWATCH.COM · 2026-09-15

Overview

MiniMax-M2.7 model. $0.30/$1.20 per 1M; cached $0.06. 205K context.

Run it yourself

Deploy this open model on rented GPUs

Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.

RunPod →
Rent GPUs by the second and serve any open-weight model yourself.
Novita AI →
Serverless open-model inference billed per token — no GPU ops.
Vast.ai →
GPU marketplace — rent spot/on-demand GPUs cheaply and serve any open-weight model.

Partner links — we may earn a commission if you sign up, at no cost to you. We only list platforms we'd recommend regardless.

Capabilities

struck through = not supported
Input 1/5
Text ✓ Image Audio Video PDF
Output 1/5
Text ✓ Image Audio Video Embedding
Features 3/9
Prompt caching ✓ Reasoning Coding Fast inference Long context ✓ Open weights ✓ Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Percentile vs all tracked models 43.9th3 independent measurements
Percentile per $/Mtok 84.4

We hold no per-benchmark accuracy scores for this model yet, so it has no accuracy average. That is a gap in our coverage, not a sign the model is untested — independent evaluators often publish a composite index for a new model long before releasing its per-benchmark numbers. The percentile above is its standing across the independent composites below.

Independent composite scores
  • AA Intelligence Index: 23.2 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 0.8 (−100–100)
  • LMSYS Chatbot Arena: 1415.2 ELO (Human preference)
How it stacks up
  • Ranks #87 of 181 comparably-measured models by percentile score, across 3 independent measurements
  • Ranks #28 of 181 comparably-tested models by normalized performance per dollar

Source: Artificial Analysis, LMSYS Chatbot Arena (UC Berkeley) · updated · See full rankings →

Specifications

Provider
MiniMax
Context window
205K tokens
Modality
text
Parameters
Proprietary
Open source
Yes — open weights available
Released
Status
Current
Last updated
Tags
open-weightsbudgetcaching

Availability verified: — listed on MiniMax's own page

Try on MiniMax Official pricing page