# DeepSeek V4.1 Flash 1017 Usage, Cost & Rank | OpenCode Data

> DeepSeek V4.1 Flash 1017 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens.

October 17 update of DeepSeek V4.1 Flash with improved reasoning, coding, agentic tasks, and visual understanding

- Page: https://opencode.ai/data/deepseek/deepseek-v4-1-flash-1017
- JSON: https://opencode.ai/data/deepseek/deepseek-v4-1-flash-1017.json
- Model ID: deepseek/deepseek-v4.1-flash-1017
- Lab: DeepSeek

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 384K |
| Knowledge cutoff | 2025-05 |
| Release date | 2026-10-17 |
| Input modalities | text, image |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017) |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.30 | $1.20 | $0.0060 | $0.30 |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| Humanity's Last Exam | 42.6 |  | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 |
| Humanity's Last Exam | 44 |  | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 |
| Terminal-Bench | 42.3 |  | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 |
| DeepSWE | 77 |  | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 |
| ProgramBench | 29.1 |  | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 |
| NL2Repo | 68.2 |  | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 |
| AutomationBench | 60.5 |  | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 |
| Agents' Last Exam | 35.4 |  | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 |
| Apex Bench | 72.1 |  | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 |
| Chartography | 83 |  | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 |
| BabyVision | 92.5 |  | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017 |
| ZeroBench | 51 | pass@5 | https://api-docs.deepseek.com/updates/ |

## 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.