# MiniMax-M3.1-Flash Usage, Cost & Rank | OpenCode Data

> MiniMax-M3.1-Flash ranked #58 by tokens across OpenCode last week, with 0% of tokens over the past two months. MiniMax-M3.1-Flash costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.

Frontier multimodal coding model with 1M context window and tunable thinking depth

- Page: https://opencode.ai/data/minimax/minimax-m3-1-flash
- JSON: https://opencode.ai/data/minimax/minimax-m3-1-flash.json
- Model ID: minimax/MiniMax-M3.1-Flash
- Lab: MiniMax
- Updated: 2026-10-19T08:34:30.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 512K |
| Knowledge cutoff | - |
| Release date | 2026-10-19 |
| Input modalities | text, image, video |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | Yes |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.15 | $0.60 | $0.01 | - |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #58 |
| Tokens | 5.7K |
| Share of all tokens | 0% |
| Change vs previous 2 months | +100% |
| Unique users | 2 |
| Completed sessions | 8 |
| Average tokens per session | 718 |
| Average cost per session | $0.0000 |
| Total spend | $0 |
| Input tokens served from cache | 34.4% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-10-19 | 5.7K | 2 | 8 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | United States | 0 | 100% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 51 | [claude-sonnet-4-6](https://opencode.ai/data/anthropic/claude-sonnet-4-6.md) | Anthropic | 3.1M |
| 52 | [test-siliconflow-dsf4.1](https://opencode.ai/data/deepseek/test-siliconflow-dsf4-1.md) | DeepSeek | 1.8M |
| 53 | [code](https://opencode.ai/data/custom/code.md) | Custom | 1.6M |
| 54 | [tencent/hy4-preview](https://opencode.ai/data/tencent/tencent-hy4-preview.md) | Tencent | 93K |
| 55 | [deepseek/deepseek-v4.1-flash](https://opencode.ai/data/deepseek/deepseek-deepseek-v4-1-flash.md) | DeepSeek | 64K |
| 56 | [xiaomi-mimo-v2.6-pro](https://opencode.ai/data/xiaomi/xiaomi-mimo-v2-6-pro.md) | Xiaomi | 36K |
| 57 | [coding-minimax-m3](https://opencode.ai/data/minimax/coding-minimax-m3.md) | MiniMax | 36K |
| 58 | [minimax-m3.1-flash](https://opencode.ai/data/minimax/minimax-m3-1-flash.md) | MiniMax | 5.7K |
| 59 | [z-ai/glm-5.3-flash](https://opencode.ai/data/zhipu/z-ai-glm-5-3-flash.md) | Zhipu | 5.1K |
| 60 | [test-falcon](https://opencode.ai/data/deepseek/test-falcon.md) | DeepSeek | 2.6K |

## 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.