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
$0.030
10% of input — prompt caching
Price receipt
No confirmed receipt. We hold dated captures of MiniMax's pricing page, but none of them tied MiniMax-M2.5 to the price above on that page, so we do not claim this number is sourced. This model is deprecated — while it remains purchasable, confirm the current rate on the provider's page before relying on it.
Overview
MiniMax-M2.5 model. $0.30/$1.20 per 1M; cached $0.03. Superseded by MiniMax-M2.7.
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 supportedBenchmark performance
accuracy % · higher is betterWe 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.
- AA-Omniscience Index: -38.9 (−100–100)
- LMSYS Chatbot Arena: 1390.6 ELO (Human preference)
- Ranks #157 of 194 comparably-measured models by percentile score, across 2 independent measurements
- Ranks #76 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
Availability verified: — per MiniMax's own deprecation notice