# Kimi K3.1 Pro Usage, Cost & Rank | OpenCode Data

> Kimi K3.1 Pro ranked #50 by tokens across OpenCode last week, with 0% of tokens over the past two months. Kimi K3.1 Pro costs $2.00 per 1M input tokens and $10.00 per 1M output tokens.

Multimodal Kimi model with 1M context and always-on reasoning for coding, 3D creation, financial research, and agentic work

- Page: https://opencode.ai/data/moonshotai/kimi-k3-1-pro
- JSON: https://opencode.ai/data/moonshotai/kimi-k3-1-pro.json
- Model ID: moonshotai/kimi-k3.1-pro
- Lab: Moonshot
- Updated: 2026-10-23T19:54:54.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 131K |
| Knowledge cutoff | - |
| Release date | 2026-10-23 |
| Input modalities | text, image, video |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | No |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $2.00 | $10.00 | $0.20 | $2.00 |

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #50 |
| Tokens | 17M |
| Share of all tokens | 0% |
| Change vs previous 2 months | +100% |
| Unique users | 43 |
| Completed sessions | 62 |
| Average tokens per session | 280K |
| Average cost per session | $0.1536 |
| Total spend | $10 |
| Input tokens served from cache | 99.8% |
| Weekly retention | - |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-10-23 | 17M | 43 | 62 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | Algeria | 0 | 52% |
| 2 | South Africa | 0 | 13.7% |
| 3 | Indonesia | 0 | 11.4% |
| 4 | Brazil | 0 | 6.4% |
| 5 | Finland | 0 | 5.1% |
| 6 | Colombia | 0 | 4.4% |
| 7 | Vietnam | 0 | 2.1% |
| 8 | China | 0 | 1.3% |
| 9 | Canada | 0 | 0.8% |
| 10 | Dominican Republic | 0 | 0.7% |
| 11 | Italy | 0 | 0.5% |
| 12 | United States | 0 | 0.5% |
| 13 | Netherlands | 0 | 0.5% |
| 14 | Spain | 0 | 0.4% |
| 15 | Venezuela | 0 | 0.1% |

## Nearby models by tokens last week

| Rank | Model | Lab | Tokens |
| --- | --- | --- | --- |
| 46 | [qwen3.7-max](https://opencode.ai/data/alibaba/qwen3-7-max.md) | Qwen | 314M |
| 47 | [gpt-5-nano](https://opencode.ai/data/openai/gpt-5-nano.md) | OpenAI | 265M |
| 48 | [test](https://opencode.ai/data/deepseek/test.md) | DeepSeek | 167M |
| 49 | [kimi-preview-1021](https://opencode.ai/data/moonshot/kimi-preview-1021.md) | Moonshot | 97M |
| 50 | [kimi-k3.1-pro](https://opencode.ai/data/moonshotai/kimi-k3-1-pro.md) | Moonshot | 17M |
| 51 | [qwen3.8-flash-next](https://opencode.ai/data/alibaba/qwen3-8-flash-next.md) | Qwen | 10M |
| 52 | [claude-sonnet-4-6](https://opencode.ai/data/anthropic/claude-sonnet-4-6.md) | Anthropic | 3.1M |
| 53 | [qwen3.8-27b](https://opencode.ai/data/alibaba/qwen3-8-27b.md) | Qwen | 669K |
| 54 | [internlm/agents-a1](https://opencode.ai/data/custom/internlm-agents-a1.md) | Custom | 89K |
| 55 | [gemini-3.8-flash](https://opencode.ai/data/google/gemini-3-8-flash.md) | Google | 73K |

## 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.