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Last scan 2026-08-01 Models tracked 181 Providers 27 Cheapest paid Granite 4.0 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

$0.750

avg of input & output $/1M

Cached input

$0.060

20% of input — prompt caching

Source: official MiniMax pricing · read Jun 25, 2026 MODELPRICEWATCH.COM · 2026-08-01

Available on 2 hosts

cheapest blended first · $ per 1M tokens

MiniMax M2.7 is sold by 2 providers. Prices are per 1M tokens (blended = avg of input & output). 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 $0.750 0%
MiniMax first-party $0.300 $1.20 $0.750 —
Each host links to its provider page and official pricing. Prices refresh twice daily. MODELPRICEWATCH.COM · 2026-08-01

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 44.2th4 independent measurements
Percentile per $/Mtok 58.9

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: 38.1 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA Agentic Index: 25.6 (Tool use, planning, autonomy)
  • AA-Omniscience Index: 0.7 (−100–100)
  • LMSYS Chatbot Arena: 1416.9 ELO (Human preference)
How it stacks up
  • Ranks #64 of 133 comparably-measured models by percentile score, across 4 independent measurements
  • Ranks #32 of 133 comparably-tested models by normalized performance per dollar

Source: LMSYS Chatbot Arena (UC Berkeley) · updated Jun 29, 2026 · See full rankings →

Specifications

Provider
MiniMax
Context window
205K tokens
Modality
text
Parameters
Proprietary
Open source
Yes — open weights available
Released
Oct 1, 2025
Status
Current
Last updated
Jun 25, 2026
Tags
open-weightsbudgetcaching

Availability verified: Not re-verified. We have no recent evidence that MiniMax still lists this model — treat availability as unconfirmed.

Try on MiniMax Official pricing page