MiniMax M2.7 Highspeed / Chat
A high-speed variant of MiniMax’s flagship M2.7 LLM, delivering 100 TPS—~60% faster than standard M2.7—with identical top-tier quality. It features a 204,800-token context window, near-Opus-level SWE performance, and recursive self-improvement. Optimized for low-latency coding, office tasks, and agent workflows, it balances extreme speed, reliability, and cost-efficiency for high-throughput real-world applications。
Playground Chat
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MiniMax M2.7 High SpeedProduction Chat at Interactive Latency
MiniMax M2.7 High Speed is a latency-optimized chat sibling of M2.7 with streaming defaults, temperature and top-p sampling, stop sequences, and max output tokens up to 2048 — for production chat that must stay interactive under load.
At a Glance
M2.7 High Speed Capabilities
Same chat completions contract as M2.7, tuned for interactive latency at production QPS.
High-Speed Serving Path
A dedicated low-latency path for production chat surfaces that need immediate first tokens under load — support consoles, search answers, and agent loops.
Streaming by Default
stream defaults to true so tokens arrive as they are generated. Ideal for long answers where partial paint keeps users engaged.
Sampling Controls
Temperature default 0.7 (range 0–1) and top-p default 0.95 (range 0–1) for balanced creative range with stable brand tone.
Bounded Completions
Stop sequences and max_tokens (1–2048) keep completions inside product budgets and schema boundaries even when prompts drift.
How It Works
Simple high-speed chat completions path.
POST Messages
Send system and user turns in the standard chat completions schema.
Stream Tokens
Consume SSE for immediate UI paint across long answers.
Bound Output
Use stop sequences and max_tokens (1–2048) for parser-safe replies.
Tune Sampling
Adjust temperature and top-p for brand voice across tenants.
High Speed Product Domains
Where production chat must stay interactive.
Customer Chat
Streaming support replies with stop-bounded answers.
Content Assist
Fast drafts, rewrites, and summaries.
Ops Automation
Ticket drafting and internal Q&A at scale.
Search Answers
Grounded replies over retrieved context.
Prompt Tips
Keep M2.7 High Speed responses reliable.
Put role, constraints, and output format in the system message.
Keep stream on for chat surfaces; disable only for batch jobs.
Bound generation when you will parse JSON or field lists.
MiniMax M2.7 High Speed Quickstart
Low-latency streaming production chat.
curl -X POST "https://api.powertokens.ai/v1/chat/completions" \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "MiniMax-M2.7-highspeed",
"messages": [
{"role": "user", "content": "Draft a concise out-of-office reply for a client email."}
],
"stream": true,
"temperature": 0.7
}'Technical Specifications
Confirmed parameters and runtime execution protocols.
Preisdetails
Die tatsächliche Abrechnung für dieses Modell wird dynamisch basierend auf den spezifischen Parametern Ihrer API-Anfrage berechnet. Nachfolgend finden Sie die spezifischen Kombinationen und ihre entsprechenden Preise:
| Modalität | Eingabe-Guthaben | Ausgabe-Guthaben | Eingabepreis | Ausgabepreis | Impliziter Cache-Treffer | Expliziter Cache-Treffer | Cache-Erstellung |
|---|---|---|---|---|---|---|---|
| Standard | 600/ 1M Tokens | 2,400/ 1M Tokens | $0.600 | $2.400 | $0.060 60/ 1M Tokens | $0.060 60/ 1M Tokens | $0.375 375/ 1M Tokens |
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Frequently Asked Questions
Everything you need to know before integrating this model.
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