# MiniMax-M2.7 Usage, Cost & Rank | OpenCode Data

> MiniMax-M2.7 ranked #31 by tokens across OpenCode last week, with 0.0% of tokens over the past two months. MiniMax-M2.7 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens.

Open MiniMax flagship for coding agents, office automation, and complex environments

- Page: https://opencode.ai/data/minimax/minimax-m2-7
- JSON: https://opencode.ai/data/minimax/minimax-m2-7.json
- Model ID: minimax/MiniMax-M2.7
- Lab: MiniMax
- Updated: 2026-10-02T08:39:37.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 205K |
| Max output | 131K |
| Knowledge cutoff | - |
| Release date | 2026-03-18 |
| Input modalities | text |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/MiniMaxAI/MiniMax-M2.7) |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.30 | $1.20 | $0.06 | $0.38 |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #31 |
| Tokens | 246B |
| Share of all tokens | 0.0% |
| Change vs previous 2 months | -44% |
| Unique users | 74K |
| Completed sessions | 164,421 |
| Average tokens per session | 1.5M |
| Average cost per session | $0.1499 |
| Total spend | $24,642 |
| Input tokens served from cache | 94.7% |
| Weekly retention | 60.2% |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-08-08 | 4B | 1.8K | 1,768 |
| 2026-08-09 | 3.1B | 1.7K | 1,650 |
| 2026-08-10 | 5B | 2.3K | 3,024 |
| 2026-08-11 | 5.2B | 2.9K | 1,434 |
| 2026-08-12 | 7.4B | 2.3K | 25 |
| 2026-08-13 | 7.2B | 2.4K | 16 |
| 2026-08-14 | 7.2B | 2.4K | 17 |
| 2026-08-15 | 4.9B | 2K | 15 |
| 2026-08-16 | 4.1B | 2.2K | 14 |
| 2026-08-17 | 8B | 2.8K | 22 |
| 2026-08-18 | 8.2B | 2.5K | 4,173 |
| 2026-08-19 | 6.8B | 2.5K | 3,563 |
| 2026-08-20 | 7.4B | 2.3K | 4,200 |
| 2026-08-21 | 6.9B | 2.2K | 3,876 |
| 2026-08-22 | 4.6B | 1.6K | 2,717 |
| 2026-08-23 | 3.7B | 1.4K | 2,644 |
| 2026-08-24 | 6.1B | 1.4K | 3,327 |
| 2026-08-25 | 6.2B | 1.4K | 3,239 |
| 2026-08-26 | 5.5B | 1.4K | 3,166 |
| 2026-08-27 | 5.7B | 1.3K | 3,158 |
| 2026-08-28 | 5.2B | 1.2K | 2,621 |
| 2026-08-29 | 3.5B | 863 | 1,941 |
| 2026-08-30 | 3B | 742 | 1,521 |
| 2026-08-31 | 5.6B | 1.2K | 1,961 |
| 2026-09-01 | 5.9B | 1.2K | 2,285 |
| 2026-09-02 | 5.8B | 1.2K | 2,062 |
| 2026-09-03 | 5.9B | 1.2K | 4,072 |
| 2026-09-04 | 4.8B | 1K | 2,357 |
| 2026-09-05 | 2.9B | 756 | 2,132 |
| 2026-09-06 | 3.3B | 696 | 2,668 |
| 2026-09-07 | 5B | 1K | 3,586 |
| 2026-09-08 | 4.9B | 961 | 3,321 |
| 2026-09-09 | 5.3B | 969 | 3,221 |
| 2026-09-10 | 4.7B | 1.1K | 3,744 |
| 2026-09-11 | 3.6B | 968 | 3,024 |
| 2026-09-12 | 2.8B | 712 | 2,207 |
| 2026-09-13 | 2.2B | 645 | 2,067 |
| 2026-09-14 | 4.1B | 1.1K | 3,432 |
| 2026-09-15 | 4.3B | 1K | 4,827 |
| 2026-09-16 | 3.8B | 1.1K | 4,330 |
| 2026-09-17 | 4.4B | 1.1K | 3,900 |
| 2026-09-18 | 3.1B | 1K | 3,915 |
| 2026-09-19 | 3.4B | 831 | 4,468 |
| 2026-09-20 | 2.4B | 864 | 4,152 |
| 2026-09-21 | 3.4B | 1K | 3,775 |
| 2026-09-22 | 3.9B | 1K | 17,385 |
| 2026-09-23 | 2.6B | 883 | 3,193 |
| 2026-09-24 | 2.1B | 852 | 3,200 |
| 2026-09-25 | 2.7B | 759 | 2,638 |
| 2026-09-26 | 2.1B | 674 | 2,418 |
| 2026-09-27 | 1.6B | 642 | 2,169 |
| 2026-09-28 | 2.7B | 974 | 4,491 |
| 2026-09-29 | 2.6B | 987 | 3,253 |
| 2026-09-30 | 2.5B | 930 | 3,180 |
| 2026-10-01 | 2.4B | 677 | 2,153 |
| 2026-10-02 | 729M | 231 | 704 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 34B | 13.7% |
| 2 | Brazil | 15B | 6.3% |
| 3 | Argentina | 13B | 5.3% |
| 4 | Mexico | 12B | 4.8% |
| 5 | China | 12B | 4.8% |
| 6 | Colombia | 12B | 4.7% |
| 7 | Spain | 11B | 4.6% |
| 8 | Germany | 11B | 4.3% |
| 9 | Peru | 8.4B | 3.4% |
| 10 | Indonesia | 7.3B | 2.9% |
| 11 | India | 6.1B | 2.5% |
| 12 | Russia | 5.3B | 2.2% |
| 13 | Chile | 4.4B | 1.8% |
| 14 | United Kingdom | 4.2B | 1.7% |
| 15 | France | 4B | 1.6% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 27 | [mimo-v2.5-pro](https://opencode.ai/data/xiaomi/mimo-v2-5-pro.md) | Xiaomi | 42B |
| 28 | [longcat-2.0](https://opencode.ai/data/meituan/longcat-2-0.md) | Meituan | 26B |
| 29 | [qwen3.8-max](https://opencode.ai/data/alibaba/qwen3-8-max.md) | Qwen | 26B |
| 30 | [hy3](https://opencode.ai/data/tencent/hy3.md) | Tencent | 17B |
| 31 | [minimax-m2.7](https://opencode.ai/data/minimax/minimax-m2-7.md) | MiniMax | 15B |
| 32 | [hy4-preview](https://opencode.ai/data/tencent/hy4-preview.md) | Tencent | 13B |
| 33 | [omen-alpha](https://opencode.ai/data/unknown/omen-alpha.md) | - | 12B |
| 34 | [grok-4.7](https://opencode.ai/data/xai/grok-4-7.md) | xAI | 9.6B |
| 35 | [jev-1.13](https://opencode.ai/data/unknown/jev-1-13.md) | - | 6B |
| 36 | [kimi-k2.6](https://opencode.ai/data/moonshotai/kimi-k2-6.md) | Moonshot | 5.5B |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| SWE-Bench Verified | 79.9 | resolved | https://www.minimax.io/blog/minimax-m3 |
| SWE-Bench Pro | 56.2 | resolve rate | https://www.minimax.io/blog/minimax-m3 |
| Terminal-Bench | 51.1 | success rate | https://www.minimax.io/blog/minimax-m3 |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.