AI Model Intelligence

MiniMax M2.7 (free)

minimax/m2-7-free

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

Unknown
Input / 1M tokens
Unknown
Output / 1M tokens
197K
Context window
197K
Max output

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

Capabilities

✓ Tool calling✓ Reasoning✗ Structured output✗ Attachments✓ Open weights✓ Temperature 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.

Coding60
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)6/20
  • Provider availability4/10
Agents69
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit15/15
  • Provider availability4/10
JSON / structured output30
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context45
  • Context window (100K → 2M)45/90
  • Has published price for full window0/10
Production-readiness58
  • Number of independent providers20/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers8/10
  • Official model (not derivative)15/15

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.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

Available on 4 providers

ProviderProvider model idInput / 1MOutput / 1MContextReleased
OpenRouter
openrouter
minimax/minimax-m2.7:freeUnknownUnknown197K2026-03-18
Vercel AI Gateway
vercel
minimax/minimax-m2.7-freeUnknownUnknown197K2026-03-18
UnoRouter
unorouter
minimax-m2.7:freeUnknownUnknown205K2026-03-18
Kilo Gateway
kilo
minimax/minimax-m2.7:freeUnknownUnknown197K2026-03-18

Data inconsistencies across providers

  • context_window varies: 196608, 204800

Different providers report different values for this model. Quick facts above use the representative provider; consult the table for per-provider truth.

Frequently asked questions

How much does MiniMax M2.7 (free) cost?

MiniMax M2.7 (free) does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check MiniMax's official pricing page for the most current rates.

What is the context window of MiniMax M2.7 (free)?

MiniMax M2.7 (free) has a context window of 197K tokens, with a max output of 197K tokens per reply. This is the total combined size of prompt + completion.

Does MiniMax M2.7 (free) support tool calling?

Yes. MiniMax M2.7 (free) 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 MiniMax M2.7 (free) support structured output / JSON mode?

No. MiniMax M2.7 (free) does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can MiniMax M2.7 (free) accept image input?

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

Is MiniMax M2.7 (free) open-weight?

Yes. MiniMax M2.7 (free)'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 MiniMax M2.7 (free)?

If MiniMax M2.7 (free) doesn't fit, consider MiniMax-M2.5, MiniMax-M2.7, MiniMax-M3. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Explore more

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See also

Last updated:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.