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MiniMaxReleased March 18, 2026

MiniMax-M2.7

MiniMax · Released March 18, 2026

Intelligence score

38

At a glance

Intelligence
38
Speed
51.1tokens/sec
Latency
2.01stime to first token
Input price
$0.30per 1M tokens
Output price
$1.20per 1M tokens
Context window
200Ktokens
Parameters
230billions

Summary

Comparison summary

MiniMax-M2.7 scores 38 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 25). MiniMax-M2.7 generates output at 51.1 tokens per second (based on MiniMax's API), which is at the lower end compared to other open weight models of similar size (median: 61.7 t/s). MiniMax-M2.7 costs $0.30 per 1M input tokens (very competitive, median: $0.59) and $1.20 per 1M output tokens (better than average, median: $2.20), based on MiniMax's API.

Specifications

Technical specifications

Model nameMiniMax-M2.7
ProviderMiniMax
Release dateMarch 18, 2026
Intelligence score38
Speed51.1 tokens/sec
Latency (TTFT)2.01s
Input price$0.30 / 1M tokens
Output price$1.20 / 1M tokens
Context window200,000 tokens
Parameters230B
ReasoningYes
Input modalitiestext
Output modalities—
Open weightsYes
LicenseNON-COMMERCIAL LICENSE
API availability—
SourceModel Intelligence legacy profile: minimax-m2-7

Pricing

Token prices

Price per 1M tokens

MiniMax-M2.7, as listed in the catalog record

Input $0.30 and output $1.20 per 1M tokens. Missing prices are hatched and marked "Not published".
  1. Input$0.30
  2. Output$1.20

Model Intelligence legacy profile: minimax-m2-7

FAQ · 21

Frequently asked questions

MiniMax-M2.7 was released on March 18, 2026.

MiniMax-M2.7 was created by MiniMax.

MiniMax-M2.7 scores 38 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 25).

MiniMax-M2.7 generates output at 51.1 tokens per second (based on MiniMax's API), which is at the lower end compared to other open weight models of similar size (median: 61.7 t/s).

MiniMax-M2.7 has a time to first token (TTFT) of 2.01s (based on MiniMax's API), which is better than average compared to other open weight models of similar size (median: 2.01s).

MiniMax-M2.7 costs $0.30 per 1M input tokens (very competitive, median: $0.59) and $1.20 per 1M output tokens (better than average, median: $2.20), based on MiniMax's API.

MiniMax-M2.7 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens (based on MiniMax's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.22 per 1M tokens. Pricing may vary by provider.

When evaluated on the Intelligence Index, MiniMax-M2.7 generated 85M output tokens, which is better than average compared to other open weight models of similar size (median: 92M).

Yes, MiniMax-M2.7 is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.

MiniMax-M2.7 supports text input.

MiniMax-M2.7 supports text output.

No, MiniMax-M2.7 does not support image input. It can only process text.

No, MiniMax-M2.7 is not multimodal. It only supports text input.

MiniMax-M2.7 has a context window of 200k tokens. This determines how much text and conversation history the model can process in a single request.

Yes, MiniMax-M2.7 is open weights. The model weights are publicly available and can be downloaded for self-hosting.

MiniMax-M2.7 has 230 billion parameters (10 billion active).

MiniMax-M2.7 is a Mixture of Experts (MoE) model with 230 billion total parameters, but only 10 billion active parameters are used during inference.

MiniMax-M2.7 is released under the NON-COMMERCIAL LICENSE license. Commercial use requires a separate license agreement.

MiniMax-M2.7 achieves a score of 38 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.

Yes, MiniMax-M2.7 is available via API through 6 providers.

MiniMax-M2.7 is available through 6 API providers.