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MiniMax: MiniMax M2.5

Chat
minimax/minimax-m2.5

MiniMax M2.5 is MiniMax's state-of-the-art large language model designed for real-world productivity. Trained across diverse, complex digital working environments, it builds on M2.1's coding expertise and extends into general office work: generating and operating Word, Excel, and PowerPoint files, switching context between different software environments, and working across agent and human teams. It scores 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, and is more token-efficient than previous generations because it was trained to plan its actions and output. Reasoning, function calling, prompt caching, and web search are supported. Context: 200K tokens, output: 131K. Available via OpenAI and Anthropic protocols.

Context Window
200K
Max Output Tokens
131K
Released
2026-02-12
Capabilities
Function CallingReasoningPrompt CachingWeb Search
Available Providers
Aliyun
Supported Protocols
openaianthropic

Providers

Aliyunprovider.type: "aliyun"
Input Tokens
$0.3/M
Output Tokens
$1.2/M
Cache Read
$0.06/M
Cache Write
$0/M
$0.375/M
Web Search
$0.01/R
Protocols
openai/v1/chat/completions
anthropic

Code Examples

from openai import OpenAI
client = OpenAI(
base_url="https://api.ofox.ai/v1",
api_key="YOUR_OFOX_API_KEY",
)
response = client.chat.completions.create(
model="minimax/minimax-m2.5",
messages=[
{"role": "user", "content": "Hello!"}
],
)
print(response.choices[0].message.content)

Benchmarks

LMArena โ†—Evaluated as minimax-m2.5

MiniMax: MiniMax M2.5 scores 1391 in the Overall category of the LMArena text leaderboard (style control), ranking #137 of 374 models based on 41,159 human preference votes (updated 2026-07-12).

Benchmark scores for minimax-m2.5 on LMArena
CategoryArena Score95% CIRankVotes
Overall13911387โ€“1395#137 of 37441,159
Hard Prompts14161411โ€“1420#133 of 37425,585
Coding14441438โ€“1451#126 of 36910,895
Math13961384โ€“1408#132 of 3622,436
Creative Writing13591350โ€“1367#135 of 3726,411
Instruction Following13811375โ€“1387#140 of 37412,998
Chinese14291416โ€“1443#125 of 3442,187

Source: LMArena ยท CC BY 4.0 ยท Updated 2026-07-12 ยท Methodology โ†— ยท Ranks compare models within each category of the LMArena text leaderboard (style control). Scores come from third-party human preference evaluations, not from OFOX.

Frequently Asked Questions

MiniMax: MiniMax M2.5 on Ofox.ai costs $0.3/M per million input tokens and $1.2/M per million output tokens. Pay-as-you-go, no monthly fees.