ModelPriceWatch.com
Last scan 2026-10-30 Models tracked 303 Providers 41 Cheapest paid pplx-decider-flash-v1.2 $0.010/Mtok in Every price links to its source

MiniMax-M2.7

by MiniMax

Deprecated budget open weights cheap tier
Deprecated. Still purchasable, but the provider has announced end-of-life. Don't start new work on it. Migration target: MiniMax-M3. Full deprecation status & replacements →
Availability: MiniMax no longer lists MiniMax-M2.7 on its Pay-as-You-Go pricing page or among its current models, which are now MiniMax-M3 and MiniMax-M3.1-Flash. Its API still accepts the model, and MiniMax's own endpoint on OpenRouter still charges $0.3 input / $1.2 output per 1M tokens, the price shown. MiniMax has published no shutdown date. Read 2026-10-26.

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 · 2026-10-30

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 8502df2a92.

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 · 2026-10-30

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.

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Capabilities

struck through = not supported
Input 1/4
Text ✓ Image Audio Video
Output
Text ✓
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 43.2th4 independent measurements
Percentile per $/Mtok 83.1

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: 22.8 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: 0.8 (−100–100)
  • GDPval-AA v2: 1016.5 ELO (Real-world work tasks, human baseline = 1000)
  • LMSYS Chatbot Arena: 1415 ELO (Human preference)
How it stacks up
  • Ranks #98 of 194 comparably-measured models by percentile score, across 4 independent measurements
  • Ranks #32 of 194 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
Deprecated
Last updated
Tags
open-weightsbudgetcaching

Availability verified: — per MiniMax's own deprecation notice