Atlas / Models / Minimax / MiniMax: MiniMax M2.5 (free)

MiniMax: MiniMax M2.5 (free)✓ Catalog verified

minimax/minimax-m2.5:free

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.

Input price
$0.00 /1M
Output price
$0.00 /1M
Context
197K
Modalities
text
Released
Feb 12, 2026
Tool calling
✓ Yes
Atlas signal
85/100
01

Overview

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.

Access: available through the official Minimax API. Context window: 197K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierminimax/minimax-m2.5:free
ProviderMinimax
Model typeText LLM
Context window197K catalog
Input modalitiestext
Output modalitiestext
ReleasedFeb 12, 2026
ModeratedYes
Architecture modalitytext->text
Supported parameters
include_reasoningmax_tokensreasoningresponse_formatseedstoptemperaturetools
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "top_k": null,
  "top_p": 0.95,
  "temperature": 1,
  "presence_penalty": null,
  "frequency_penalty": null,
  "repetition_penalty": null
}
03

Pricing

Live pricing components for minimax/minimax-m2.5:free as published in the catalog.

$0.00
Input /1M
$0.00
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$0$0.00 / 1MPer input token
Completion tokens$0$0.00 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-HostingNot advertisedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

MiniMax: MiniMax M2.5 (free)
MMLU Signal (Reasoning)
91signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
83signal
Science Signal (GPQA proxy)
79signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call MiniMax: MiniMax M2.5 (free) through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="minimax/minimax-m2.5:free",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does MiniMax: MiniMax M2.5 (free) cost?

$0.00 per 1M input tokens and $0.00 per 1M output tokens on the official Minimax API.

What is the context window of MiniMax: MiniMax M2.5 (free)?

MiniMax: MiniMax M2.5 (free) supports up to 197K tokens of context.

Does MiniMax: MiniMax M2.5 (free) support tool / function calling?

Yes, MiniMax: MiniMax M2.5 (free) supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access MiniMax: MiniMax M2.5 (free)?

Use the official Minimax API with the model id `minimax/minimax-m2.5:free`. See the Quick start section above for code examples.