DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-experts model... Built by DeepSeek.
Prices updated
Input price
$0.15
per 1M tokens · Standard
Output price
$0.50
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
944K
tokens
Input formats
Output formats
DeepSeek V4.1 Flash 1017 price history
123 price records since 10/18/2026 · 121 changes
DeepSeek V4.1 Flash 1017 cost calculator
$5.50/month
Standard pricing
Overview
What is DeepSeek V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 is a text & reasoning and vision model from DeepSeek priced at $0.15 input and $0.50 output per 1M tokens, with a 1M context window. Its low input price suits high-volume work; no AA Intelligence score has been published yet.
Benchmarks
DeepSeek V4.1 Flash 1017 benchmarks & speed
How DeepSeek V4.1 Flash 1017 scores on standardized evaluations, and where it lands among every model we track.
1289
DesignArena Elo
Latency & design
- DesignArena win rate
- 48.3%
- Design battles judged
- 5,947
Independent scores from Artificial Analysis and DesignArena · updated 10/30/2026. Higher is better; ranks compare against every model we track with that score.
Rates
DeepSeek V4.1 Flash 1017 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.15
Per 1M tokens
Cached input · Standard
$0.0050
Per 1M tokens
Capabilities
DeepSeek V4.1 Flash 1017 Tools
Tools available when using DeepSeek V4.1 Flash 1017 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not listed
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Supported
Prompt caching
Supported
Where to run it
DeepSeek V4.1 Flash 1017 API providers
25 providers serve DeepSeek V4.1 Flash 1017. Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| Relacefp4 | $0.0060 | $0.50 | $0.0050 | 1M | 100% |
| OpenInferencefp4 | $0.02 | $0.70 | $0.0040 | 1M | 100% |
| Morphfp8 | $0.02 | $0.40 | $0.0040 | 1M | 99.93% |
| Particle AI | $0.03 | $0.25 | $0.0015 | 1M | 100% |
| Wafermxfp4 | $0.04 | $0.35 | $0.01 | 1M | 100% |
| Particle AI | $0.05 | $0.50 | $0.0030 | 1M | 100% |
| Wafermxfp4 | $0.07 | $0.50 | $0.0065 | 1M | 100% |
| DeepInfrafp8 | $0.08 | $0.24 | $0.0024 | 1M | 100% |
| InferenceNetfp8 | $0.08 | $0.55 | $0.0080 | 1M | 100% |
| InferenceNetfp8 | $0.08 | $0.55 | $0.0080 | 1M | 100% |
| PrimeIntellect | $0.09 | $1.20 | $0.0048 | 1M | 100% |
| Baidufp8 | $0.10 | $0.39 | $0.0021 | 1M | 99.93% |
| DeepInfrafp8 | $0.10 | $0.29 | $0.0029 | 1M | 100% |
| Cloudflare | $0.10 | $0.60 | $0.0030 | 1M | 100% |
| Sail Researchfp4 | $0.10 | $0.15 | $0.0067 | 1M | 0% |
| StreamLakefp8 | $0.11 | $0.44 | $0.0022 | 1M | 100% |
| Decartfp8 | $0.12 | $0.49 | $0.0025 | 1M | 99.65% |
| StepFunfp8 | $0.14 | $0.54 | $0.0027 | 1M | 100% |
| DeepInfrafp8 | $0.15 | $0.44 | $0.0044 | 1M | 100% |
| Alibaba | $0.15 | $0.60 | $0.01 | 1M | 100% |
| DeepSeek | $0.15 | $0.60 | $0.0030 | 1M | 100% |
| Makorafp8 | $0.15 | $1.20 | $0.0060 | 1M | 100% |
| Sail Researchfp4 | $0.15 | $0.23 | $0.01 | 1M | 0% |
| Reka | $0.16 | $1.10 | $0.0080 | 1M | 99.9% |
| Ionstream | $0.17 | $0.49 | $0.01 | 1M | 100% |
- Input
- $0.0060
- Output
- $0.50
- Cached
- $0.0050
- Context
- 1M
- Uptime
- 100%
- Input
- $0.02
- Output
- $0.70
- Cached
- $0.0040
- Context
- 1M
- Uptime
- 100%
- Input
- $0.02
- Output
- $0.40
- Cached
- $0.0040
- Context
- 1M
- Uptime
- 99.93%
- Input
- $0.03
- Output
- $0.25
- Cached
- $0.0015
- Context
- 1M
- Uptime
- 100%
- Input
- $0.04
- Output
- $0.35
- Cached
- $0.01
- Context
- 1M
- Uptime
- 100%
- Input
- $0.05
- Output
- $0.50
- Cached
- $0.0030
- Context
- 1M
- Uptime
- 100%
- Input
- $0.07
- Output
- $0.50
- Cached
- $0.0065
- Context
- 1M
- Uptime
- 100%
- Input
- $0.08
- Output
- $0.24
- Cached
- $0.0024
- Context
- 1M
- Uptime
- 100%
- Input
- $0.08
- Output
- $0.55
- Cached
- $0.0080
- Context
- 1M
- Uptime
- 100%
- Input
- $0.08
- Output
- $0.55
- Cached
- $0.0080
- Context
- 1M
- Uptime
- 100%
- Input
- $0.09
- Output
- $1.20
- Cached
- $0.0048
- Context
- 1M
- Uptime
- 100%
- Input
- $0.10
- Output
- $0.39
- Cached
- $0.0021
- Context
- 1M
- Uptime
- 99.93%
- Input
- $0.10
- Output
- $0.29
- Cached
- $0.0029
- Context
- 1M
- Uptime
- 100%
- Input
- $0.10
- Output
- $0.60
- Cached
- $0.0030
- Context
- 1M
- Uptime
- 100%
- Input
- $0.10
- Output
- $0.15
- Cached
- $0.0067
- Context
- 1M
- Uptime
- 0%
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Strengths and limitations
Strengths
- Price rank 73 of 330 tracked models (1 = cheapest, by blended price).
- Blended price at 3 input : 1 output is $0.24 per 1M tokens.
- 1M input + 250K output tokens costs about $0.28.
- Context window 1M vs a median of 262K (4.0× larger).
Limitations
- Generated tokens cost 3× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Benchmarks are directional; test accuracy, latency and reliability on your own workload before committing.
Public listed prices, checked Nov 9, 2026. Benchmarks as published by their sources. Confirm with the provider.
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