# MiniMax M2.7 — API, capabilities & pricing | Y-API

> MiniMax M2.7 is a text model centered on agentic productivity: debugging, root-cause analysis and multi-step professional work. Its published examples involve external tools; a completion alone does not execute that workflow.

This is the markdown representation of https://y-api.bestvirtualgoods.com/models/minimax/minimax-m2.7. Generated by `scripts/generate-seo-assets.mjs` from the same copy the page renders — do not edit by hand.

Model ID: `minimax/minimax-m2.7`

Sources reviewed: 2026-10-04. Y-API catalog snapshot: 2026-10-04.

## Choosing this model

Selection advice by Y-API. The checks below are suggested evaluations, not published test results.

### Where to start

Use it to turn an incident timeline into testable hypotheses and a diagnostic plan. Provide logs, deployment changes and known constraints instead of asking for a confident diagnosis without evidence.

### What to watch for

Claims about producing documents or spreadsheets describe a tool-enabled system. You still need a runtime for file creation, validation and permission checks; model output is not itself a finished, verified artifact.

## Model specifications

These are OpenRouter model-level specifications, not a Y-API compatibility test. A particular route may accept fewer input formats, parameters or tokens. Verify the features you need with a small request; a successful text response does not validate vision or tool calling.

| Field | Value |
| --- | --- |
| Context window | 204,800 tokens |
| Input | Text |
| Output | Text |
| Listed on OpenRouter | 2026-03-18 |
| Parameters listed by OpenRouter | `frequency_penalty`, `include_reasoning`, `logit_bias`, `max_tokens`, `min_p`, `presence_penalty`, `reasoning`, `repetition_penalty`, `response_format`, `seed`, `stop`, `temperature`, `tool_choice`, `tools`, `top_k`, `top_p` |

## Estimate your cost

The current catalog marks this model as free: calls do not deduct credit. This does not promise unlimited capacity, permanent availability or a future free price.

$1 paid adds $10 of credit. Cash equivalent = credit consumed ÷ 10; this is not the model publisher’s list price.

Input tokens / request: 1000. Output tokens / request: 500. Number of requests: 1000.

Estimated credit consumed: Free — no credit deducted. Estimated cash equivalent: Free — no credit deducted.

Illustrative token budget, not measured usage or a quote. Includes input and output; excludes separate media charges, cache discounts and retries. Include billed reasoning tokens in your output budget where applicable. Actual billing follows usage returned by the service.

### Same token budget, different models

| Model | Estimated credit consumed | Estimated cash equivalent |
| --- | --- | --- |
| [MiniMax M2.7](https://y-api.bestvirtualgoods.com/models/minimax/minimax-m2.7) | Free — no credit deducted | Free — no credit deducted |
| [Hy3](https://y-api.bestvirtualgoods.com/models/tencent/hy3) | Free — no credit deducted | Free — no credit deducted |
| [DeepSeek V4 Flash 0731](https://y-api.bestvirtualgoods.com/models/deepseek/deepseek-v4-flash-0731) | $0.30 | $0.03 |

## Use the API

These minimal, text-only requests use the exact Y-API model ID. They do not demonstrate image, audio, video, file or tool support. The output limit also needs room for reasoning; an empty answer with finish_reason=length can mean the budget was exhausted.

Set the TOKEN environment variable to a key from your console. Run this on your server or locally; never expose a key in browser code or a public repository.

### A task to try

Latency rose after a database migration; CPU stayed flat and connection wait time doubled. Give two hypotheses and one test for each. Do not assert a root cause.

```bash
curl --fail-with-body --silent --show-error --max-time 120 \
  'https://api.y-api.bestvirtualgoods.com/v1/chat/completions' \
  -H "Authorization: Bearer ${TOKEN:?Set TOKEN first}" \
  -H 'Content-Type: application/json' \
  --data-binary @- <<'JSON'
{
  "model": "minimax/minimax-m2.7",
  "messages": [
    {
      "role": "user",
      "content": "Latency rose after a database migration; CPU stayed flat and connection wait time doubled. Give two hypotheses and one test for each. Do not assert a root cause."
    }
  ],
  "max_tokens": 4096
}
JSON
```

```python
import json
import os
import sys
import urllib.error
import urllib.request

payload = {
  "model": "minimax/minimax-m2.7",
  "messages": [
    {
      "role": "user",
      "content": "Latency rose after a database migration; CPU stayed flat and connection wait time doubled. Give two hypotheses and one test for each. Do not assert a root cause."
    }
  ],
  "max_tokens": 4096
}

request = urllib.request.Request(
    "https://api.y-api.bestvirtualgoods.com/v1/chat/completions",
    data=json.dumps(payload).encode("utf-8"),
    headers={
        "Authorization": "Bearer " + os.environ["TOKEN"],
        "Content-Type": "application/json",
    },
    method="POST",
)
try:
    with urllib.request.urlopen(request, timeout=120) as response:
        result = json.load(response)
    print(json.dumps(result, ensure_ascii=False, indent=2))
except urllib.error.HTTPError as error:
    print(error.read().decode("utf-8"), file=sys.stderr)
    raise SystemExit(1)
```

### How to evaluate the result

Separate observations from hypotheses. A useful answer proposes checks for connection contention or changed query behavior and states what evidence would disprove each explanation.

## Before you choose

### Does M2.7 create Word or Excel files through this endpoint?

The text endpoint returns a model response. A tool runner can use that response to create files, but file writing, execution and format validation belong to your application.

## Sources & scope

Technical facts come from the cited model page and, where available, its linked publisher card. A card describes that checkpoint; it is not proof of the weights a gateway serves. Prices come only from the Y-API catalog. We do not claim measured latency, uptime or benchmark scores for this endpoint.

- [OpenRouter model page & specifications](https://openrouter.ai/minimax/minimax-m2.7)
- [Publisher model card linked by OpenRouter](https://huggingface.co/MiniMaxAI/MiniMax-M2.7)
- [Y-API catalog & prices (JSON)](https://y-api.bestvirtualgoods.com/models.json)

## Models to compare

Compare these alternatives on the same inputs. Their descriptions explain different roles; a lower price does not establish equivalent quality.

### [Hy3](https://y-api.bestvirtualgoods.com/models/tencent/hy3)

Tencent Hy3 is a text-only MoE model with 295B total and 21B active parameters in its publisher card. The reference describes direct-answer and reasoning modes, with an emphasis on multi-turn constraints and tool-driven work.

### [DeepSeek V4 Flash 0731](https://y-api.bestvirtualgoods.com/models/deepseek/deepseek-v4-flash-0731)

DeepSeek V4 Flash 0731 is the publisher’s official V4 Flash release, following the earlier preview. It remains a text-only model; its post-training revision focuses on coding, reasoning and agent tasks.

## Links

- HTML version of this page: https://y-api.bestvirtualgoods.com/models/minimax/minimax-m2.7
- Site index for agents: https://y-api.bestvirtualgoods.com/llms.txt
- Full reference (single file): https://y-api.bestvirtualgoods.com/llms-full.txt
- OpenAPI 3.1 spec: https://y-api.bestvirtualgoods.com/openapi.json
- Model catalog (JSON, no key needed): https://y-api.bestvirtualgoods.com/models.json
- API base URL: `https://api.y-api.bestvirtualgoods.com/v1`
- Contact: support@bestvirtualgoods.com
- Model catalog: https://y-api.bestvirtualgoods.com/models
- Integration guide: https://y-api.bestvirtualgoods.com/docs