# MiniMax-M3 Usage, Cost & Rank | OpenCode Data

> MiniMax-M3 ranked #19 by tokens across OpenCode last week, with 0.3% of tokens over the past two months. MiniMax-M3 costs $0.33 per 1M input tokens and $1.32 per 1M output tokens.

MiniMax multimodal model for long-context coding, perception, and agent planning

- Page: https://opencode.ai/data/minimax/minimax-m3
- JSON: https://opencode.ai/data/minimax/minimax-m3.json
- Model ID: minimax/MiniMax-M3
- Lab: MiniMax
- Updated: 2026-10-02T08:39:37.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 512K |
| Knowledge cutoff | - |
| Release date | 2026-06-01 |
| Input modalities | text, image, video |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/MiniMaxAI/MiniMax-M3) |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.33 | $1.32 | $0.07 | $0.33 |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #19 |
| Tokens | 2.8T |
| Share of all tokens | 0.3% |
| Change vs previous 2 months | -72% |
| Unique users | 309K |
| Completed sessions | 1,430,233 |
| Average tokens per session | 2M |
| Average cost per session | $0.1034 |
| Total spend | $147,875 |
| Input tokens served from cache | 93.8% |
| Weekly retention | 57.7% |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-08-08 | 45B | 6.2K | 13,298 |
| 2026-08-09 | 42B | 5.6K | 8,895 |
| 2026-08-10 | 60B | 8K | 12,310 |
| 2026-08-11 | 67B | 11K | 6,598 |
| 2026-08-12 | 81B | 8.4K | 335 |
| 2026-08-13 | 72B | 8.5K | 248 |
| 2026-08-14 | 71B | 8.7K | 195 |
| 2026-08-15 | 56B | 7.3K | 169 |
| 2026-08-16 | 56B | 8.1K | 327 |
| 2026-08-17 | 107B | 11K | 191 |
| 2026-08-18 | 104B | 10K | 30,360 |
| 2026-08-19 | 91B | 9.6K | 29,911 |
| 2026-08-20 | 86B | 9K | 26,376 |
| 2026-08-21 | 73B | 8.3K | 21,963 |
| 2026-08-22 | 45B | 6.3K | 17,487 |
| 2026-08-23 | 39B | 5.9K | 12,950 |
| 2026-08-24 | 75B | 9.5K | 19,481 |
| 2026-08-25 | 76B | 7.9K | 46,507 |
| 2026-08-26 | 68B | 7.2K | 34,809 |
| 2026-08-27 | 65B | 6.4K | 30,636 |
| 2026-08-28 | 53B | 5.8K | 24,918 |
| 2026-08-29 | 36B | 4.3K | 8,823 |
| 2026-08-30 | 36B | 4K | 6,271 |
| 2026-08-31 | 60B | 6K | 36,339 |
| 2026-09-01 | 58B | 5.7K | 42,766 |
| 2026-09-02 | 57B | 5.9K | 33,590 |
| 2026-09-03 | 49B | 5.9K | 68,364 |
| 2026-09-04 | 41B | 4.8K | 18,960 |
| 2026-09-05 | 34B | 3.7K | 36,428 |
| 2026-09-06 | 34B | 3.5K | 16,430 |
| 2026-09-07 | 48B | 4.8K | 34,139 |
| 2026-09-08 | 52B | 4.3K | 34,434 |
| 2026-09-09 | 51B | 4.1K | 44,883 |
| 2026-09-10 | 50B | 4.6K | 39,188 |
| 2026-09-11 | 38B | 4K | 34,095 |
| 2026-09-12 | 28B | 3.1K | 32,134 |
| 2026-09-13 | 31B | 3.1K | 29,212 |
| 2026-09-14 | 49B | 4.5K | 38,598 |
| 2026-09-15 | 52B | 4.5K | 35,206 |
| 2026-09-16 | 48B | 4.4K | 36,089 |
| 2026-09-17 | 44B | 4.6K | 43,445 |
| 2026-09-18 | 40B | 4.2K | 33,002 |
| 2026-09-19 | 28B | 3.3K | 27,745 |
| 2026-09-20 | 31B | 3.3K | 24,831 |
| 2026-09-21 | 46B | 4.4K | 38,482 |
| 2026-09-22 | 44B | 4.1K | 46,044 |
| 2026-09-23 | 41B | 3.7K | 25,135 |
| 2026-09-24 | 36B | 3.4K | 21,824 |
| 2026-09-25 | 33B | 3K | 24,360 |
| 2026-09-26 | 22B | 2.6K | 23,974 |
| 2026-09-27 | 20B | 2.7K | 21,725 |
| 2026-09-28 | 34B | 3.7K | 36,365 |
| 2026-09-29 | 37B | 3.7K | 32,261 |
| 2026-09-30 | 33B | 3.5K | 31,841 |
| 2026-10-01 | 27B | 3.2K | 25,119 |
| 2026-10-02 | 6.6B | 1.4K | 10,167 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 336B | 12% |
| 2 | China | 251B | 8.9% |
| 3 | Germany | 148B | 5.3% |
| 4 | Brazil | 140B | 5% |
| 5 | Spain | 136B | 4.8% |
| 6 | Colombia | 100B | 3.6% |
| 7 | Mexico | 86B | 3.1% |
| 8 | India | 80B | 2.8% |
| 9 | Argentina | 79B | 2.8% |
| 10 | Indonesia | 73B | 2.6% |
| 11 | France | 69B | 2.5% |
| 12 | Japan | 69B | 2.5% |
| 13 | Russia | 61B | 2.2% |
| 14 | United Kingdom | 59B | 2.1% |
| 15 | Chile | 55B | 2% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 15 | [nemotron-3.5-lightning](https://opencode.ai/data/nvidia/nemotron-3-5-lightning.md) | NVIDIA | 267B |
| 16 | [ling-3.0-flash-fin](https://opencode.ai/data/inclusionai/ling-3-0-flash-fin.md) | inclusionAI | 256B |
| 17 | [qwen3.8-flash](https://opencode.ai/data/alibaba/qwen3-8-flash.md) | Qwen | 256B |
| 18 | [gpt-5.6-luna](https://opencode.ai/data/openai/gpt-5-6-luna.md) | OpenAI | 195B |
| 19 | [minimax-m3](https://opencode.ai/data/minimax/minimax-m3.md) | MiniMax | 181B |
| 20 | [mai-experimental-test](https://opencode.ai/data/unknown/mai-experimental-test.md) | - | 180B |
| 21 | [kimi-k2.7-code](https://opencode.ai/data/moonshotai/kimi-k2-7-code.md) | Moonshot | 136B |
| 22 | [glm-5.3](https://opencode.ai/data/zhipuai/glm-5-3.md) | Zhipu | 95B |
| 23 | [fledge-alpha](https://opencode.ai/data/unknown/fledge-alpha.md) | - | 90B |
| 24 | [qwen3.7-plus](https://opencode.ai/data/alibaba/qwen3-7-plus.md) | Qwen | 76B |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| SWE-Bench Verified | 80.5 | resolved | https://www.minimax.io/blog/minimax-m3 |
| SWE-Bench Pro | 59 | resolve rate | https://www.minimax.io/blog/minimax-m3 |
| Terminal-Bench | 66 | success rate | https://www.minimax.io/blog/minimax-m3 |
| BrowseComp | 83.52 | accuracy | https://www.minimax.io/blog/minimax-m3 |
| MCP Atlas | 74.2 | success rate | https://www.minimax.io/blog/minimax-m3 |
| OSWorld-Verified | 70.06 | 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.