DeepSeek V4.1 Flash
$0.90
estimated usage cost
1,000 requests × (1,000 uncached input × $0.30 + 500 output × $1.20) / 1,000,000 = $0.90
base rates; no context pricing tiers are published.
Text generation / DeepSeek
DeepSeek V4.1 Flash
DeepSeek V4.1 Flash is a text generation model from DeepSeek, available through the Impossibl API. Its published context window is 1,048,576 tokens. The advertised input rate is $0.30 per million input tokens. The advertised output rate is $1.20 per million output tokens.
api id: deepseek/deepseek-v4.1-flash
how much does deepseek v4.1 flash cost?
published base api rates · usd per 1m tokens
- input
- $0.30
- output
- $1.20
- cache read
- $0.006
rates are published by the impossibl api. balance-purchase fees, taxes, tool charges, and workspace-specific pricing are separate.
specifications & capabilities
- creator
- DeepSeek
- model type
- Text generation
- context window
- 1.05m tokens
- maximum output
- not published in the catalog
- input types
- text, image
- output types
- text
- tool calling
- not verified in the catalog
unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports.
estimate your usage
estimate your api cost
estimate text token usage for your workload. all amounts are in usd.
estimates use published impossibl api usage rates. configured billing adjustments, funding fees, taxes, and custom workspace rates are excluded and may change the final amount.
image and audio usage, cache creation, and additional tool charges are excluded. reasoning tokens count as billable output, even when they are not visible in the response.
compare more Text generation models
- DeepSeek V3.2$0.58 input / 1m tokenscompare →
- DeepSeek V3.2 Speciale$0.58 input / 1m tokenscompare →
- DeepSeek V4 Flash$0.19 input / 1m tokenscompare →
- DeepSeek V4 Flash 0731$0.14 input / 1m tokenscompare →
independent benchmarks
Results from Artificial Analysis. Each configuration is listed separately. These evaluations describe the tested model configuration; performance and costs can differ on Impossibl. Last checked 2026-09-11.
DeepSeek V4.1 Flash (Reasoning, Max Effort)
| Benchmark | Score |
|---|---|
| Intelligence Index | 39.55 |
| Omniscience Index | -5.30 |
| Humanity’s Last Exam | 39.25% |
| SciCode | 51.85% |
| CritPt | 14.29% |
| Terminal-Bench v4.0 | 26.77% |
| AA-LCR | 84.00% |
| GDPval Elo | 1632.06 |
| GDP.pdf All-pass | 12.80% |
| AutomationBench Partial | 68.89% |
| MMMU-Pro | 76.99% |
| intelligence index (API) | 39.5 |
Unmeasured scores are omitted. API values retain their source units.
view source ↗frequently asked questions
What is DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash is a text-generation model from DeepSeek, available through the Impossibl API.
How much does DeepSeek V4.1 Flash cost?
DeepSeek V4.1 Flash costs $0.30 per million input tokens and $1.20 per million output tokens through the Impossibl API. Cache reads cost $0.006 per million tokens. All rates are in USD.
What is the context length of DeepSeek V4.1 Flash?
DeepSeek V4.1 Flash has a 1,048,576-token context window through the Impossibl API.
What inputs and outputs does DeepSeek V4.1 Flash support?
DeepSeek V4.1 Flash accepts text and image as input. DeepSeek V4.1 Flash returns text.
How do I use DeepSeek V4.1 Flash through an API?
DeepSeek V4.1 Flash is available through the Impossibl API. Use deepseek/deepseek-v4.1-flash as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.
When was DeepSeek V4.1 Flash released?
DeepSeek released DeepSeek V4.1 Flash on September 10, 2026.
sources & coverage
this page describes DeepSeek V4.1 Flash as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes.
model descriptions and release dates, where available, use the creator sources linked in the faq. api prices and limits use the impossibl catalog. benchmark results, where available, are credited to Artificial Analysis in the benchmarks section. report a correction →