MiniMax-M2.7
minimax/m2-7من MiniMax · العائلة: minimax · أُصدِر 2026-03-18 · تاريخ المعرفة: 2025-01
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
القدرات
Model fit scores
0–100 · higher is betterThese 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.
Coding66
- Tool calling40/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)6/20
- Provider availability10/10
Agents75
- Tool calling35/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability10/10
JSON / structured output47
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume17/20
Cost efficiency63
- Headline price (log-scaled)58/95
- Has prompt-cache pricing5/5
Long context56
- Context window (100K → 2M)46/90
- Has published price for full window10/10
Production-readiness96
- Number of independent providers40/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- 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.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $2.10 < $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 | $4.20 < $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 | $1.20 < $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 | $3.60 < $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 | $4.32 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
تفاصيل التسعير
السعر المُوصى به من minimax · MiniMax-M2.7
أرخص مزود: minimax-coding-plan · Unknown إدخال + Unknown إخراج
متاح لدى 23 مزود
| المزود | معرف نموذج المزود | إدخال / 1M | إخراج / 1M | السياق | تاريخ الإصدار |
|---|---|---|---|---|---|
| MiniMax (minimax.io) minimax | MiniMax-M2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
| MiniMax Coding Plan (minimax.io) minimax-coding-plan | MiniMax-M2.7 | Unknown | Unknown | 205K | 2026-03-18 |
| MiniMax Coding Plan (minimaxi.com) minimax-cn-coding-plan | MiniMax-M2.7 | Unknown | Unknown | 205K | 2026-03-18 |
| MiniMax (minimaxi.com) minimax-cn | MiniMax-M2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
| OpenRouter openrouter | minimax/minimax-m2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
| Vercel AI Gateway vercel | minimax/minimax-m2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
| Together AI togetherai | MiniMaxAI/MiniMax-M2.7 | $0.300 | $1.20 | 203K | 2026-03-18 |
| Hugging Face huggingface | MiniMaxAI/MiniMax-M2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
| 302.AI 302ai | MiniMax-M2.7 | $0.300 | $1.20 | 205K | 2026-03-19 |
| NanoGPT nano-gpt | minimax/minimax-m2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
| OpenCode Go opencode-go | minimax-m2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
| Alibaba (China) alibaba-cn | MiniMax/MiniMax-M2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
| ZenMux zenmux | minimax/minimax-m2.7 | $0.305 | $1.22 | 205K | 2026-03-20 |
| NovitaAI novita-ai | minimax/minimax-m2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
| Kilo Gateway kilo | minimax/minimax-m2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
| OpenCode Zen opencode | minimax-m2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
| Ollama Cloud ollama-cloud | minimax-m2.7 | Unknown | Unknown | 197K | 2026-03-18 |
| FrogBot frogbot | minimax-m2-7 | $0.300 | $1.20 | 192K | 2026-03-18 |
| AIHubMix aihubmix | minimax-m2.7 | $0.296 | $1.18 | 200K | 2026-03-18 |
| Wafer wafer.ai | MiniMax-M2.7 | Unknown | Unknown | 205K | 2026-03-18 |
| Nvidia nvidia | minimaxai/minimax-m2.7 | Unknown | Unknown | 205K | 2026-03-18 |
| Cortecs cortecs | minimax-m2.7 | $0.470 | $1.40 | 203K | 2026-03-18 |
| LLM Gateway llmgateway | minimax-m2.7 | $0.300 | $1.20 | 205K | 2026-03-18 |
اختلافات في بيانات المزودين
- context_window varies: 192000, 196608, 200000, 202752, 204800
- modalities varies across offerings
يبلِّغ المزودون قيمًا مختلفة لهذا النموذج. تستخدم الحقائق السريعة أعلاه مزودًا تمثيليًا؛ راجع الجدول للتفاصيل لكل مزود.
Frequently asked questions
How much does MiniMax-M2.7 cost?
MiniMax-M2.7 costs $0.300 per 1M input tokens and $1.20 per 1M output tokens, sourced from minimax. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of MiniMax-M2.7?
MiniMax-M2.7 has a context window of 205K tokens, with a max output of 131K tokens per reply. This is the total combined size of prompt + completion.
Does MiniMax-M2.7 support tool calling?
Yes. MiniMax-M2.7 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 support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for MiniMax-M2.7 in our data source. Verify with MiniMax's official documentation before relying on it in production.
Can MiniMax-M2.7 accept image input?
No. MiniMax-M2.7 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is MiniMax-M2.7 open-weight?
Yes. MiniMax-M2.7'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?
If MiniMax-M2.7 doesn't fit, consider MiniMax-M2.5, MiniMax-M2.1, MiniMax-M2. 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.
Explore more
More MiniMax models
- MiniMax-M2.5$0.30 in / $1.20 out
- MiniMax-M2.1$0.30 in / $1.20 out
- MiniMax-M2$0.30 in / $1.20 out
- MiniMax-M2.7-highspeed$0.60 in / $2.40 out
- MiniMax-M2.5-highspeed$0.60 in / $2.40 out
Capability lists this model is in
آخر تحديث:
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.