AI Model Intelligence

Coding MiniMax M2.7 Highspeed

aihubmix/coding-minimax-m2-7-highspeed

By aihubmix · family: minimax · released 2026-03-18

⚠ This is a community fine-tune or derivative — not an official vendor release.

$0.200
Input / 1M tokens
$0.200
Output / 1M tokens
205K
Context window
13K
Max output

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capabilities

Tool callingReasoningStructured outputAttachmentsOpen weightsTemperature control
Modalities: input text · output text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding77
  • Tool calling40/40
  • Structured output20/20
  • Reasoning10/10
  • Context window (100K → 1M)6/20
  • Provider availability1/10
Agents85
  • Tool calling35/35
  • Structured output25/25
  • Reasoning15/15
  • Output token limit9/15
  • Provider availability1/10
JSON / structured output99
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume19/20
Cost efficiency72
  • Headline price (log-scaled)72/95
  • Has prompt-cache pricing0/5
Long context56
  • Context window (100K → 2M)46/90
  • Has published price for full window10/10
Production-readiness50
  • Number of independent providers5/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$1.10
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$2.20
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$0.50
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$1.80
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$2.52
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Pricing detail

Recommended pricing from aihubmix · coding-minimax-m2.7-highspeed

$0.200
Input
$0.200
Output

Available on 1 providers

ProviderProvider model idInput / 1MOutput / 1MContextReleased
AIHubMix
aihubmix
coding-minimax-m2.7-highspeed$0.200$0.200205K2026-03-18

Frequently asked questions

How much does Coding MiniMax M2.7 Highspeed cost?

Coding MiniMax M2.7 Highspeed costs $0.200 per 1M input tokens and $0.200 per 1M output tokens, sourced from aihubmix. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Coding MiniMax M2.7 Highspeed?

Coding MiniMax M2.7 Highspeed has a context window of 205K tokens, with a max output of 13K tokens per reply. This is the total combined size of prompt + completion.

Does Coding MiniMax M2.7 Highspeed support tool calling?

Yes. Coding MiniMax M2.7 Highspeed supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Coding MiniMax M2.7 Highspeed support structured output / JSON mode?

Yes. Coding MiniMax M2.7 Highspeed supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Coding MiniMax M2.7 Highspeed accept image input?

No. Coding MiniMax M2.7 Highspeed only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Coding MiniMax M2.7 Highspeed open-weight?

Yes. Coding MiniMax M2.7 Highspeed's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Coding MiniMax M2.7 Highspeed?

If Coding MiniMax M2.7 Highspeed doesn't fit, consider o4-mini. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Last updated:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.