# MiMo-V2.6-Flash Usage, Cost & Rank | OpenCode Data

> MiMo-V2.6-Flash ranked #4 by tokens across OpenCode last week, with 1.5% of tokens over the past two months. MiMo-V2.6-Flash costs $0.16 per 1M input tokens and $0.32 per 1M output tokens.

MiMo Flash model for multimodal coding agents and long-context automation

- Page: https://opencode.ai/data/xiaomi/mimo-v2-6-flash
- JSON: https://opencode.ai/data/xiaomi/mimo-v2-6-flash.json
- Model ID: xiaomi/mimo-v2.6-flash
- Lab: Xiaomi
- Updated: 2026-10-02T08:39:37.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 131K |
| Knowledge cutoff | - |
| Release date | 2026-09-22 |
| Input modalities | text, image, audio, video |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL) |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.16 | $0.32 | $0.0040 | $0.16 |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #4 |
| Tokens | 13T |
| Share of all tokens | 1.5% |
| Change vs previous 2 months | +100% |
| Unique users | 278K |
| Completed sessions | 8,518,002 |
| Average tokens per session | 1.6M |
| Average cost per session | $0.0035 |
| Total spend | $29,823 |
| Input tokens served from cache | 93.7% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-09-21 | 32B | 2.2K | 24,514 |
| 2026-09-22 | 941B | 41K | 881,964 |
| 2026-09-23 | 1.2T | 39K | 997,159 |
| 2026-09-24 | 1.2T | 37K | 914,025 |
| 2026-09-25 | 1.3T | 21K | 769,673 |
| 2026-09-26 | 1.2T | 18K | 715,980 |
| 2026-09-27 | 1.2T | 17K | 675,111 |
| 2026-09-28 | 1.5T | 22K | 800,252 |
| 2026-09-29 | 1.5T | 23K | 799,243 |
| 2026-09-30 | 1.5T | 22K | 823,417 |
| 2026-10-01 | 1.4T | 22K | 732,664 |
| 2026-10-02 | 448B | 13K | 384,000 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | China | 2.4T | 17.6% |
| 2 | United States | 1.2T | 9.1% |
| 3 | India | 1.1T | 7.9% |
| 4 | Brazil | 661B | 4.9% |
| 5 | Indonesia | 543B | 4% |
| 6 | Germany | 500B | 3.7% |
| 7 | Singapore | 311B | 2.3% |
| 8 | Japan | 299B | 2.2% |
| 9 | France | 264B | 2% |
| 10 | Spain | 261B | 1.9% |
| 11 | Türkiye | 256B | 1.9% |
| 12 | Netherlands | 254B | 1.9% |
| 13 | Pakistan | 238B | 1.8% |
| 14 | Vietnam | 235B | 1.8% |
| 15 | Egypt | 188B | 1.4% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 1 | [space-bunny](https://opencode.ai/data/unknown/space-bunny.md) | - | 57T |
| 2 | [deepseek-v4.1-flash](https://opencode.ai/data/deepseek/deepseek-v4-1-flash.md) | DeepSeek | 33T |
| 3 | [muse-spark-1.3-contributor](https://opencode.ai/data/meta/muse-spark-1-3-contributor.md) | Meta | 31T |
| 4 | [mimo-v2.6-flash](https://opencode.ai/data/xiaomi/mimo-v2-6-flash.md) | Xiaomi | 8.8T |
| 5 | [deepseek-v4-flash](https://opencode.ai/data/deepseek/deepseek-v4-flash.md) | DeepSeek | 5.7T |
| 6 | [nemotron-3-ultra](https://opencode.ai/data/nvidia/nemotron-3-ultra.md) | NVIDIA | 3.6T |
| 7 | [longcat-2.5-preview](https://opencode.ai/data/meituan/longcat-2-5-preview.md) | Meituan | 2.6T |
| 8 | [glm-5.3-flash](https://opencode.ai/data/zhipuai/glm-5-3-flash.md) | Zhipu | 2.1T |
| 9 | [mimo-v2.5](https://opencode.ai/data/xiaomi/mimo-v2-5.md) | Xiaomi | 794B |
| 10 | [muse-spark-1.2-contributor](https://opencode.ai/data/meta/muse-spark-1-2-contributor.md) | Meta | 738B |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| DeepSWE | 67.9 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| ProgramBench | 26 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| MiMo Code Bench | 61.2 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| AutomationBench | 52.3 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| Toolathlon-Verified | 73.6 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| Agents' Last Exam | 27.6 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| Terminal-Bench | 28.8 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| Terminal-Bench | 87.6 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| OSWorld-Verified | 80.8 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| JobBench | 61.2 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| CyberGym | 95.1 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| MiMo Cyber Bench | 77.2 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| ExploitGym | 6 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| ExploitBench | 25.3 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| SEC-Bench Pro | 47.5 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |
| MiMo VisualCoding | 71.5 | score | https://huggingface.co/XiaomiMiMo/MiMo-V2.6-Flash-RL |

## 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.