Submit
MiniMaxOpen-weight·205K context·— params

MiniMax M2.7minimax/minimax-m2-7

MiniMax-M2.7 is a text reasoning model for coding and tool workflows. The official API lists a 204,800-token context. Its standard and highspeed routes have different input/output prices, and cache reads and writes have separate charges. This record does not establish a measured task-quality or latency advantage.

Cheapest blended:$0.53 / 1M tokenson MiniMax · 1 provider listed

Official sources checked October 2, 2026. Evaluation suggestions below are not benchmark results.

Standard, highspeed and caching are separate choices

The matrix now reflects the current standard route and a structured cache-read price. Cache writes and highspeed input/output have separate billing rules; consult the source or MiniMax pricing article for a complete workload estimate.

The official API lists a 204,800-token context for M2.7. This review has not verified a maximum output ceiling for the official route. A wrapper's generation limit and the model's total context are different constraints, and reserving too much output can reduce the available input budget.

A fair check before paying for faster serving

Test standard and highspeed on the same requests and acceptance criteria. Record time to first token, completion time, retries and total cost per accepted task separately. Provider speed descriptions do not replace those measurements for your own workload.

Keep a rollback configuration and review the exact model ID returned by the service. This page does not claim a new benchmark or general quality improvement from the rate correction.

Official source 1 →Official source 2 →

Pricing across providers

Sort by:
ProviderInput /1MOutput /1MBlended /1MLatency p50FormatFreshnessAction
MiniMax
MiniMax-M2.7

USD standard pay-as-you-go rate. Cache writes are charged separately; highspeed pricing differs. Signup and payment eligibility need account-specific verification.

$0.3
Cached $0.06
$1.2$0.525—OpenAI-compatibleNeeds 24d agoTry →

Affiliate disclosure: We may earn a commission from qualified signups. Pricing independence is enforced at the data layer — see our Editorial Independence Policy.

Works with

Point any of these clients at a hosting's base URL — they all speak at least one of this model's endpoint protocols (OPENAI_COMPATIBLE).

Capabilities

  • chat
  • long_context

Languages: en, zh

Code samples

Example using MiniMax — the cheapest hosting for this model as of last verification. Swap base_url and model to use a different provider from the matrix above.

from openai import OpenAI

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

response = client.chat.completions.create(
    model="MiniMax-M2.7",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Technical specs

Context
205K
Max output
—
Parameters
—
Release
—
Training cutoff
—
License
—
Hugging Face →Official documentation →

Similar models

Compare with

  • MiniMax M2.7 vs DeepSeek V3.1
    Comparison planned — not yet published
  • MiniMax M2.7 vs DeepSeek V3
    Comparison planned — not yet published
  • MiniMax M2.7 vs DeepSeek V4 Flash
    Comparison planned — not yet published

Frequently asked

How much does MiniMax M2.7 cost?+
The cheapest public hosting is $0.53 per 1M blended tokens on MiniMax. 1 total providers are listed above with per-input / per-output / cached pricing.
How do I access MiniMax M2.7 from outside China?+
Availability, account verification and payment methods vary by provider and region. Check the official documentation and the selected provider's access requirements before integrating. A directory listing does not guarantee global API access.
Is MiniMax M2.7 open-source? Can I fine-tune it?+
MiniMax M2.7 has published weights. License: see the official repository. Review the linked repository and license for deployment, fine-tuning and commercial-use conditions.
Is MiniMax M2.7 OpenAI-compatible?+
At least one listed hosting exposes an OpenAI-compatible API, so you can point an existing openai SDK client at the Provider's base_url and use the Provider's model name. See the Code Samples above for a copy-pasteable example.
What's the maximum context window for MiniMax M2.7?+
The model supports up to 204,800 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.