MiniMax M2.7
MiniMax M2.7 is MiniMax's text model for real-world software engineering, autonomous agent harnesses, and top open-source domain expertise. Access it through Velokey's unified endpoint with below-list pricing.
Use cases
End-to-end software delivery · Building complex agent harnesses
Input
Text
Output
Text
Billing
Per token
Start a conversation
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Sign up to get $0.5 in free credits — about 20 free images
Pricing details
Transparent usage-based pricing with no hidden fees.
Detailed Pricing
Usage-based pricing breakdown
| Spec | Price | Official | Savings |
|---|---|---|---|
| Input/1M tokens | 0.24 Credits≈$0.24 | 0.3 Credits | -20% |
| Output/1M tokens | 0.96 Credits≈$0.96 | 1.2 Credits | -20% |
| Cache Read/1M tokens | 0.048 Credits≈$0.048 | 0.06 Credits | -20% |
| Cache Write/1M tokens | 0.3 Credits≈$0.3 | 0.375 Credits | -20% |
Billing Rules
- Output price varies by model, resolution, quality, duration, or token usage.
- Uploaded reference files may be charged separately when supported.
- Add-on capabilities such as web search or image search may be billed per request.
- Token-based models are billed by input and output tokens.
- If the primary route is unavailable, Velokey may automatically switch to a stable fallback route when possible.
- Usage is pay-as-you-go with transparent credit deduction.
* Final cost depends on the generated result.
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Affordable MiniMax M2.7 API
Access MiniMax M2.7 on Velokey — real-world software engineering, independently built agent harnesses, top open-source domain expertise, and enhanced office-document editing, with a unified endpoint and below-list pricing for production apps.
Meet MiniMax M2.7 and its API access
MiniMax M2.7 is MiniMax's text model, excelling at real-world software engineering: SWE-Pro 56.22% (nearly matching Opus's best), VIBE-Pro 55.6% for end-to-end full-project delivery, and Terminal Bench 2 57.0% for understanding complex engineering systems. It can independently build a complex agent harness to accomplish highly complex productivity tasks, maintains 97% skill-adherence on 40 complex skills, and leads open-source models on domain expertise (GDPval-AA ELO 1495). The API offers M2.7 and M2.7-highspeed variants with automatic cache support. Velokey provides an affordable, easy-to-integrate MiniMax M2.7 API: a unified chat endpoint, a clear request flow, and below-list pricing for production systems, agent pipelines, and automation tools.
Real-world software engineering
It excels on real engineering benchmarks: SWE-Pro 56.22% (nearly matching Opus's best), VIBE-Pro 55.6% for end-to-end full-project delivery, and Terminal Bench 2 57.0% for understanding complex engineering systems.
View Documentation →
Independently built complex agent harness
It can independently build a complex agent harness to accomplish highly complex productivity tasks, maintaining 97% skill-adherence on 40 complex skills (>2000-token cases), a big jump over M2.5 on OpenClaw and approaching Claude Sonnet 4.6.
View Documentation →
Top open-source domain expertise
GDPval-AA ELO 1495 — the highest among open-source models — covering knowledge-intensive tasks across finance, science, and professional work, paired with excellent identity preservation and emotional intelligence.
View Documentation →
Enhanced office-document editing
Enhanced Excel/PPT/Word editing with better multi-turn modifications, fit for iterating on spreadsheets, slide decks, and documents in real office workflows.
View Documentation →
How to deploy the MiniMax M2.7 API on Velokey
Get started with just a few steps.
Sign up and get an API Key
Sign in to the Velokey console to generate an API Key that authenticates every request sent to MiniMax M2.7.
Configure request parameters
Set model to minimax-m2-7 and submit messages. The API offers M2.7 and M2.7-highspeed variants with automatic cache support to optimize repeated-context cost.
Integrate and start calling
Send requests to Velokey's unified /v1/chat/completions endpoint to power assistants, agents, and automation, with usage managed in one console.
Real-world use cases for MiniMax M2.7
From engineering to specialized domains, covering many high-autonomy scenarios.
End-to-end software delivery
With real engineering ability on SWE-Pro / VIBE-Pro, fit for delivering full projects from scratch, refactoring, and fixing complex systems.
Building complex agent harnesses
Independently builds agent harnesses and holds 97% skill-adherence — fit for high-autonomy, multi-tool productivity automation.
Understanding complex systems
Terminal Bench 2 57.0% — fit for understanding and operating complex engineering systems, terminal workflows, and large codebases.
Specialized domain analysis
Leads open-source on GDPval-AA — fit for finance, science, and other knowledge-intensive professional tasks.
Bulk office-document editing
Enhanced Excel/PPT/Word editing with multi-turn modifications — fit for iterative production of spreadsheets, slides, and documents.
Identity-consistent assistants
Excellent identity preservation and emotional intelligence — fit for conversational and companion apps that need a stable persona and empathy.
Why choose Velokey for MiniMax M2.7
Discount on list price
Call MiniMax M2.7 at a lower price on Velokey — pay-as-you-go with no forced subscription, reducing upfront cost.
Unified API interface
One API Key accesses MiniMax M2.7 and other models — no juggling multiple accounts and keys, simplifying integration.
Two variants with automatic caching
Supports M2.7 and M2.7-highspeed variants with automatic cache support, so you can balance latency and cost as needed.
Complete docs and migration guidance
Endpoint references, parameter details, and migration examples help you quickly adopt real-world software engineering and agent scenarios.
API Reference
Complete API call examples and parameter descriptions
Endpoint
https://api.velokey.ai/v1/chat/completionsAuthentication
Bearer YOUR_API_KEYRequest Example
curl https://api.velokey.ai/v1/chat/completions \
-X POST \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "MiniMax-M2.7",
"messages": [{"role": "user", "content": "Hello!"}],
"temperature": 0.7
}'Response Example
{
"id": "req_abc123",
"model": "MiniMax-M2.7",
"created": 1234567890,
"data": { ... }
}MiniMax M2.7 API FAQ
How strong is MiniMax M2.7 at real-world software engineering?
It excels on real engineering benchmarks: SWE-Pro 56.22% (nearly matching Opus's best), VIBE-Pro 55.6% for end-to-end full-project delivery, and Terminal Bench 2 57.0% for understanding complex engineering systems.
How capable is it as an agent?
It can independently build a complex agent harness to accomplish highly complex productivity tasks, maintaining 97% skill-adherence on 40 complex skills (>2000-token cases), a significant improvement over M2.5 on OpenClaw and approaching Claude Sonnet 4.6.
How does it do on domain expertise?
It reaches GDPval-AA ELO 1495 — the highest among open-source models — with enhanced Excel/PPT/Word editing and better multi-turn modifications, plus excellent identity preservation and emotional intelligence.
What's the difference between M2.7 and M2.7-highspeed?
The API offers M2.7 and M2.7-highspeed variants with automatic cache support. Choose the variant that fits your latency and quality needs; repeated context is automatically optimized via caching.
How is it billed on Velokey?
Official pricing is roughly $0.3 input / $1.2 output per million tokens. This page's pricing area shows the current Velokey price, billed by input and output tokens with a discount on list price.
Start building with MiniMax M2.7 today
Use one API key to access low-cost, stable AI models through Velokey.