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

> DeepSeek V4.1 Flash ranked #2 by tokens across OpenCode last week, with 16% of tokens over the past two months. DeepSeek V4.1 Flash costs $0.30 per 1M input tokens and $1.20 per 1M output tokens.

DeepSeek V4.1 Flash model for reasoning and agentic coding

- Page: https://opencode.ai/data/deepseek/deepseek-v4-1-flash
- JSON: https://opencode.ai/data/deepseek/deepseek-v4-1-flash.json
- Model ID: deepseek/deepseek-v4.1-flash
- Lab: DeepSeek
- Updated: 2026-10-02T08:39:37.000Z

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 1M |
| Max output | 384K |
| Knowledge cutoff | 2025-05 |
| Release date | 2026-09-10 |
| 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) |

## Pricing: USD per 1M tokens

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

## OpenCode usage: past 2 months

| Metric | Value |
| --- | --- |
| Rank by tokens last week | #2 |
| Tokens | 140T |
| Share of all tokens | 16% |
| Change vs previous 2 months | +100% |
| Unique users | 1.2M |
| Completed sessions | 21,096,216 |
| Average tokens per session | 6.6M |
| Average cost per session | $0.0845 |
| Total spend | $1,783,058 |
| Input tokens served from cache | 97.1% |
| Weekly retention | 58.4% |

## Daily usage: past 2 months

| Date | Tokens | Unique users | Sessions |
| --- | --- | --- | --- |
| 2026-09-10 | 3T | 32K | 542,869 |
| 2026-09-11 | 5T | 43K | 660,250 |
| 2026-09-12 | 5.4T | 38K | 727,030 |
| 2026-09-13 | 5.6T | 39K | 792,676 |
| 2026-09-14 | 6.5T | 54K | 804,555 |
| 2026-09-15 | 7.5T | 55K | 958,444 |
| 2026-09-16 | 8.2T | 58K | 1,053,795 |
| 2026-09-17 | 8.8T | 68K | 1,174,841 |
| 2026-09-18 | 8.2T | 63K | 1,014,788 |
| 2026-09-19 | 6.5T | 53K | 867,951 |
| 2026-09-20 | 6.9T | 54K | 958,630 |
| 2026-09-21 | 8.9T | 80K | 1,283,091 |
| 2026-09-22 | 8T | 66K | 1,074,132 |
| 2026-09-23 | 7T | 62K | 987,196 |
| 2026-09-24 | 6.2T | 60K | 1,074,071 |
| 2026-09-25 | 4.6T | 49K | 896,944 |
| 2026-09-26 | 4.3T | 45K | 851,785 |
| 2026-09-27 | 4.4T | 46K | 748,680 |
| 2026-09-28 | 6.2T | 62K | 1,175,939 |
| 2026-09-29 | 6.4T | 67K | 1,109,424 |
| 2026-09-30 | 5.7T | 61K | 1,035,378 |
| 2026-10-01 | 4.9T | 55K | 976,024 |
| 2026-10-02 | 1.5T | 33K | 327,723 |

## Top countries: past 2 months

| Rank | Country | Tokens | Share |
| --- | --- | --- | --- |
| 1 | China | 36T | 25.7% |
| 2 | United States | 18T | 12.8% |
| 3 | Japan | 8.3T | 5.9% |
| 4 | Singapore | 5.2T | 3.7% |
| 5 | Germany | 5.1T | 3.7% |
| 6 | Brazil | 5T | 3.6% |
| 7 | Hong Kong | 4.7T | 3.4% |
| 8 | India | 3.6T | 2.6% |
| 9 | France | 3.3T | 2.3% |
| 10 | Vietnam | 3.2T | 2.3% |
| 11 | Spain | 3.1T | 2.2% |
| 12 | Indonesia | 2.4T | 1.7% |
| 13 | United Kingdom | 2.3T | 1.6% |
| 14 | South Korea | 2.2T | 1.5% |
| 15 | Canada | 2.1T | 1.5% |

## 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 |
| --- | --- | --- | --- |
| GPQA Diamond | 90.9 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| MathArena Apex | 65.6 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Humanity's Last Exam | 36.8 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Humanity's Last Exam | 39.1 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Codeforces | 3471 | rating | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Terminal-Bench | 90.6 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Terminal-Bench | 30 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Terminal-Bench | 31.2 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| DeepSWE | 74.2 | resolved | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| ProgramBench | 20.3 | almost@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| NL2Repo | 64 | score | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| CyberGym | 88.1 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| ExploitGym | 15.3 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| AutomationBench | 54.8 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Agents' Last Exam | 31.8 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| SEC-Bench Pro | 62.8 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Humanity's Last Exam | 63.9 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Chartography | 78.9 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| BabyVision | 89.6 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| ZeroBench | 49 | pass@5 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| DeepSWE | 69.8 | resolved | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Terminal-Bench | 88 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| DeepSWE | 65.6 | resolved | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Terminal-Bench | 84.1 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| DeepSWE | 65.5 | resolved | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Terminal-Bench | 85 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| DeepSWE | 66.2 | resolved | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Terminal-Bench | 86.1 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Terminal-Bench | 90.3 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| DeepSWE | 72.6 | resolved | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| DeepSWE | 70.5 | resolved | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Terminal-Bench | 85.8 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| DeepSWE | 67.6 | resolved | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |
| Terminal-Bench | 85.8 | pass@1 | https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash |

## 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.