MiniMax: MiniMax M2.5

Text input Text output
Author's Description

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.

Key Specifications
Cost
$$$$
Context
204K
Released
Feb 12, 2026
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Temperature Response Format Include Reasoning Tool Choice Reasoning Max Tokens Top P Tools
Features

This model supports the following features:

Tools Response Format Reasoning
Performance Summary

MiniMax M2.5, created on February 12, 2026, demonstrates a strong overall performance profile, particularly excelling in reliability. It exhibits exceptional reliability with a 99% success rate across benchmarks, indicating minimal technical failures. In terms of speed, M2.5 shows moderate performance, ranking in the 31st percentile, while its pricing is also moderate, placing it in the 35th percentile. The model showcases significant strengths in several key areas. It achieves perfect accuracy in both General Knowledge and Ethics benchmarks, with the latter also being the most accurate and fastest among models at its price point. M2.5 also performs very well in Coding (93.0% accuracy, 82nd percentile) and Reasoning (94.0% accuracy, 80th percentile), aligning with its description as a SOTA large language model for real-world productivity and complex digital working environments. Its 204800 context length further supports its ability to handle extensive tasks. A notable weakness is observed in its Hallucinations benchmark, where it scores 88.0% accuracy, placing it in the 35th percentile. This suggests room for improvement in appropriately acknowledging uncertainty. Instruction Following and Mathematics benchmarks show solid, though not top-tier, performance at 65.0% and 91.0% accuracy respectively. Overall, M2.5 is a highly reliable and capable model, particularly strong in knowledge, ethics, coding, and reasoning, making it well-suited for diverse professional applications.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.19
Completion $1.15
Input Cache Read $0.095

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Minimax
Minimax | minimax/minimax-m2.5-20260211 204K $0.3 / 1M tokens $1.2 / 1M tokens
Novita
Novita | minimax/minimax-m2.5-20260211 204K $0.19 / 1M tokens $1.15 / 1M tokens
Minimax
Minimax | minimax/minimax-m2.5-20260211 204K $0.19 / 1M tokens $1.15 / 1M tokens
Minimax
Minimax | minimax/minimax-m2.5-20260211 204K $0.6 / 1M tokens $2.4 / 1M tokens
SiliconFlow
SiliconFlow | minimax/minimax-m2.5-20260211 196K $0.3 / 1M tokens $1.2 / 1M tokens
Fireworks
Fireworks | minimax/minimax-m2.5-20260211 196K $0.19 / 1M tokens $1.15 / 1M tokens
AtlasCloud
AtlasCloud | minimax/minimax-m2.5-20260211 196K $0.295 / 1M tokens $1.2 / 1M tokens
Parasail
Parasail | minimax/minimax-m2.5-20260211 196K $0.3 / 1M tokens $1.2 / 1M tokens
Chutes
Chutes | minimax/minimax-m2.5-20260211 204K $0.19 / 1M tokens $1.15 / 1M tokens
Inceptron
Inceptron | minimax/minimax-m2.5-20260211 196K $0.28 / 1M tokens $1.1 / 1M tokens
Together
Together | minimax/minimax-m2.5-20260211 196K $0.3 / 1M tokens $1.2 / 1M tokens
NextBit
NextBit | minimax/minimax-m2.5-20260211 196K $0.2 / 1M tokens $1.2 / 1M tokens
Chutes
Chutes | minimax/minimax-m2.5-20260211 196K $0.19 / 1M tokens $1.15 / 1M tokens
Novita
Novita | minimax/minimax-m2.5-20260211 204K $0.3 / 1M tokens $1.2 / 1M tokens
SambaNova
SambaNova | minimax/minimax-m2.5-20260211 163K $0.3 / 1M tokens $1.2 / 1M tokens
Friendli
Friendli | minimax/minimax-m2.5-20260211 196K $0.3 / 1M tokens $1.2 / 1M tokens
Clarifai
Clarifai | minimax/minimax-m2.5-20260211 196K $0.19 / 1M tokens $1.15 / 1M tokens
Venice
Venice | minimax/minimax-m2.5-20260211 198K $0.34 / 1M tokens $1.19 / 1M tokens
Ionstream
Ionstream | minimax/minimax-m2.5-20260211 196K $0.2 / 1M tokens $1.17 / 1M tokens
DeepInfra
DeepInfra | minimax/minimax-m2.5-20260211 196K $0.27 / 1M tokens $0.95 / 1M tokens
Nebius
Nebius | minimax/minimax-m2.5-20260211 196K $0.3 / 1M tokens $1.2 / 1M tokens
AkashML
AkashML | minimax/minimax-m2.5-20260211 196K $0.3 / 1M tokens $1.18 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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