MiniMax-M2.7 Intelligence, Performance & Price Analysis
Model summary
Intelligence
Artificial Analysis Intelligence Index
Speed
Output tokens per second
Input Price
USD per 1M tokens
Output Price
USD per 1M tokens
Verbosity
Output tokens from Intelligence Index
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
- Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
- <$0.15 per 1M tokens
- $0.15–$1 per 1M tokens
- >$1 per 1M tokens
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 205k ~307 A4 pages of size 12 Arial font |
MiniMax-M2.7 is amongst the leading models in intelligence, but somewhat expensive when comparing to other models of similar price. It's also notably slow and very verbose. The model supports text input, outputs text, and has a 205k tokens context window.
MiniMax-M2.7 scores 50 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (averaging 19). When evaluating the Intelligence Index, it generated 87M tokens, which is very verbose in comparison to the average of 20M.
Pricing for MiniMax-M2.7 is $0.30 per 1M input tokens (somewhat expensive, average: $0.25) and $1.20 per 1M output tokens (somewhat expensive, average: $0.89). In total, it cost $175.51 to evaluate MiniMax-M2.7 on the Intelligence Index.
At 48 tokens per second, MiniMax-M2.7 is notably slow (94).
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Openness
Artificial Analysis Openness Index: Results
Intelligence Index Comparisons
Intelligence vs. Price
Intelligence Index Token Use & Cost
Output Tokens Used to Run Artificial Analysis Intelligence Index
Cost to Run Artificial Analysis Intelligence Index
Context Window
Context Window
Pricing
Pricing: Input and Output Prices
Intelligence vs. Price (Log Scale)
Pricing Comparison of MiniMax-M2.7 API Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed
Output Speed vs. Price
Latency
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time
Seconds to output 500 Tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only)
Model Size: Total and Active Parameters
Comparisons to MiniMax-M2.7
- MiniMax-M2.7
gpt-oss-120B (high)- gpt-oss-20B (high)
- GPT-5.4 Pro (xhigh)
- GPT-5.4 (xhigh)
- GPT-5.3 Codex (xhigh)
Llama 4 Maverick
Gemini 3.1 Pro Preview- Gemini 3 Flash
- Gemini 3.1 Flash-Lite Preview
Claude Opus 4.6 (max)- Claude 4.5 Haiku
- Claude Sonnet 4.6 (max)
Mistral Large 3
DeepSeek V3.2
Grok 4.20 Beta 0309
Nova 2.0 Pro Preview (medium)
NVIDIA Nemotron 3 Super- NVIDIA Nemotron 3 Nano
Kimi K2.5
K-EXAONE
MiMo-V2-Pro- MiMo-V2-Flash (Feb 2026)
K2 Think V2
Mi:dm K 2.5 Pro
GLM-5
Qwen3.5 397B A17B
Frequently Asked Questions
Common questions about MiniMax-M2.7
MiniMax-M2.7 was released on March 18, 2026.
MiniMax-M2.7 was created by MiniMax.
MiniMax-M2.7 scores 50 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 19).
MiniMax-M2.7 generates output at 47.6 tokens per second (based on MiniMax's API), which is at the lower end compared to other reasoning models in a similar price tier (median: 93.9 t/s).
MiniMax-M2.7 has a time to first token (TTFT) of 3.55s (based on MiniMax's API), which is at the higher end compared to other reasoning models in a similar price tier (median: 1.82s).
MiniMax-M2.7 costs $0.30 per 1M input tokens (somewhat higher than average, median: $0.25) and $1.20 per 1M output tokens (somewhat higher than average, median: $0.89), 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 (3:1 input to output ratio), this is $0.53 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, MiniMax-M2.7 generated 87M output tokens, which is at the higher end compared to other reasoning models in a similar price tier (median: 20M).
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.
No, MiniMax-M2.7 is proprietary. The model weights are not publicly available.
MiniMax-M2.7 is a proprietary model and MiniMax has not disclosed the model size or parameter count.
MiniMax-M2.7 achieves a score of 50 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 2 providers. Compare API providers
MiniMax-M2.7 is available through 2 API providers. Compare providers