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Minimax

MiniMax M2.7 HighSpeed

Save 90%Official

minimax/minimax-m2.7-highspeed

Call minimax/minimax-m2.7-highspeed through the RouteMux AI Gateway. One URL connects you to every model.

Context window
205K
Max output
131K
Input modalities
text
Output modalities
text
Capabilities
Reasoning · Tool Calling · Coding · Cache
RouteMux name
minimax/minimax-m2.7-highspeed
Official ID
MiniMax-M2.7-highspeed
Live model playground

Try MiniMax M2.7 HighSpeed here

Tune the request, see the current price ceiling, and inspect the real response without leaving this model page.

streamchat
1Configure input
0 / 20,000
Maximum estimated cost
2Live result

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Enter an input on the left. The same RouteMux Playground execution and billing path powers this embedded test.

conversation

What is MiniMax M2.7 HighSpeed

MiniMax M2.7 HighSpeed is the latency-oriented variant of M2.7. It carries the same 204K-token context window, the same 131K output headroom, the same text-only input and the same capability set — reasoning, coding, tool calling, prompt caching — at twice the token price.

Through RouteMux it is $0.06 per 1M input tokens against MiniMax's $0.60, and $0.24 against $2.40 on output.

Since the structural specs are identical to M2.7, the only reason to pay double is that response latency is the constraint. If it is not, M2.7 does the same work for half.

MiniMax M2.7 HighSpeed API pricing

Source: minimax_text_x0.10 · Verified 2026-08-07

InputOfficial $0.6 / M tokens
$0.06/ M tokensSave 90%
OutputOfficial $2.4 / M tokens
$0.24/ M tokensSave 90%

Cache read $0.006/M · Cache write /M

Estimate cost

Estimated cost$0.00084

Limited time20% off your first top-up — save up to $200

Applies to your first top-up within 72 hours of signing up. Minimum $20, once per account.

Sign up and claimNo subscription. Pay for what you use.

Key capabilities

Same specs as M2.7

204K context, 131K output, text-only, same capability set. The variable is latency, not capability.

Twice the token price

$0.06 vs $0.03 input — pay it only when latency is the binding constraint.

Tool calling and caching

Reasoning, coding, tool calling and prompt caching are supported.

Three protocols

OpenAI Chat, OpenAI Responses and Anthropic Messages.

Interface and protocols

OpenAI Chat CompletionsStreamingOpenAI ResponsesStreamingAnthropic MessagesStreaming

Use either ID to call this model via the API.

RouteMux nameminimax/minimax-m2.7-highspeed
Official IDMiniMax-M2.7-highspeed

Replace the ROUTEMUX_KEY placeholder with your API key. Create one →

from openai import OpenAI

client = OpenAI(
    base_url="https://api.routemux.com/v1",
    api_key="<ROUTEMUX_KEY>",
)

completion = client.chat.completions.create(
    model="minimax/minimax-m2.7-highspeed",
    messages=[{"role": "user", "content": "What is the meaning of life?"}],
)
print(completion.choices[0].message.content)
base_url: https://api.routemux.com/v1

Performance (last 30 days)

MiniMax M2.7 HighSpeed FAQ

How large is the context window of MiniMax M2.7 HighSpeed?

MiniMax M2.7 HighSpeed supports a context window of up to 205K tokens, with up to 131K output tokens per request.

How much does the MiniMax M2.7 HighSpeed API cost?

Through RouteMux, MiniMax M2.7 HighSpeed costs $0.06 for input and $0.24 for output (USD per 1M tokens), below the official list price.

How do I call MiniMax M2.7 HighSpeed via API?

MiniMax M2.7 HighSpeed is OpenAI-compatible: point your base URL at RouteMux and set the model field to minimax/minimax-m2.7-highspeed — no code changes needed.

Which input and output modalities does MiniMax M2.7 HighSpeed support?

MiniMax M2.7 HighSpeed accepts text as input and produces text as output.

What do I get for twice the price of M2.7?

Lower latency. Context, output headroom, modalities and capabilities are identical.

Does it accept images?

No — like M2.7 it is text-only.

Sources

Reviewed by Jerry Fan on 2026-08-09

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