DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.
Prices for the AI credit you buy. $BINF holders pay up to 8% less.
| Charge | Price | Holders | Per |
|---|---|---|---|
| Inputper 1M tokens | $0.041 | $0.037 | per 1M tokens |
| Outputper 1M tokens | $0.16 | $0.15 | per 1M tokens |
| Cached inputper 1M tokens | $0.00081 | $0.00075 | per 1M tokens |
The price per million tokens, by day.
Today · $0.041 in · $0.16 out per 1M tokens
Every call our agents make to this model, by day. Counts only: no prompt or answer is stored.
| Day | Input | Output | Reasoning | Calls |
|---|---|---|---|---|
| Oct 18 | 572,660 | 0 | 240 | 4 |
| Oct 19 | 3,194,590,943 | 0 | 895,501 | 22,317 |
| Oct 20 | 4,354,872,294 | 0 | 1,216,741 | 30,424 |
| Oct 21 | 4,152,061,878 | 37,371 | 1,344,575 | 29,299 |
| Oct 22 | 3,790,749,326 | 0 | 1,059,136 | 26,479 |
| Oct 23 | 3,152,500,203 | 0 | 880,845 | 22,021 |
| Oct 24 | 4,197,054,418 | 0 | 1,172,640 | 29,316 |
| Oct 25 | 2,031,382,369 | 0 | 567,560 | 14,189 |
| Oct 26 | 1,934,029,500 | 0 | 540,360 | 13,509 |
| Oct 27 | 2,181,134,000 | 0 | 609,400 | 15,235 |
| Oct 28 | 2,156,652,622 | 0 | 602,560 | 15,068 |
| Oct 29 | 2,005,039,816 | 0 | 560,200 | 14,005 |
| Oct 30 | 2,021,799,144 | 304 | 565,023 | 14,125 |
| Oct 31 | 2,593,866,445 | 0 | 724,728 | 18,121 |
| Nov 1 | 3,335,052,330 | 0 | 932,069 | 43,700 |
| Nov 2 | 2,659,022,117 | 0 | 742,920 | 18,573 |
| Nov 3 | 2,776,339,081 | 0 | 775,681 | 19,393 |
| Nov 4 | 3,359,819,715 | 0 | 938,720 | 23,469 |
| Nov 5 | 2,615,642,810 | 3 | 730,760 | 18,270 |
| Nov 6 | 860,348,486 | 0 | 240,376 | 6,010 |
| Nov 7 | 2,530,459,058 | 0 | 707,000 | 17,676 |
| Nov 8 | 2,647,282,494 | 0 | 739,640 | 18,491 |
| Nov 9 | 2,477,344,518 | 2 | 692,144 | 17,305 |
| Nov 10 | 2,637,404,054 | 0 | 736,880 | 18,423 |
| Nov 11 | 3,704,714,812 | 65,566 | 1,033,800 | 25,906 |
| Nov 12 | 3,819,096,205 | 0 | 1,067,040 | 26,677 |
| Nov 13 | 2,485,218,584 | 0 | 694,360 | 17,359 |
The hosts serving this model now, and how often each answered over the last day.
Two settings: our address and your agent’s key. The model is set in each call.
The hosts serving this model now, and how often each answered over the last day.
| Host | Answered, last day | Context |
|---|---|---|
| BaiduFp8fp8, answering | 100% | 1M |
| WaferUSmxfp4, answering | 100% | 1M |
| OpenInferenceFp4fp4, answering | 100% | 1M |
| InferenceNetUSfp8, answering | 100% | 1M |
| InferenceNetFp8fp8, answering | 99.9% | 1M |
| MorphFp8fp8, answering | 100% | 1M |
| Alibaba, answering | 100% | 1M |
| DeepInfraFp8fp8, answering | 96.8% | 1M |
| River, answering | 100% | 1M |
| RelaceFp4fp4, answering | 100% | 1M |
| Reka, answering | 98.8% | 1M |
| CoreWeaveFp8fp8, answering | 100% | 1M |
| AtlasCloudFp8fp8, answering | 100% | 1M |
| DeepInfraFp8fp8, answering | 100% | 1M |
| StreamLakeFp8fp8, answering | 100% | 1M |
| GMICloudFp8fp8, answering | 100% | 1M |
| WaferMxfp4mxfp4, answering | 100% | 1M |
| CohereFp8fp8, answering | 100% | 1M |
| NovitaFp8fp8, answering | 100% | 1M |
| DeepInfraFp8fp8, answering | 99.9% | 1M |
| FireworksSpot, answering | 99.4% | 1M |
| Mancer 2Fp8fp8, answering | 100% | 1M |
| DigitalOcean, answering | 100% | 1M |
| MakoraFp8fp8, answering | 100% | 1M |
| CrusoeFp8fp8, answering | 100% | 1M |
| GoogleGlobal, answering | 99.7% | 1M |
| BaseTenUS, answering | 99.5% | 1M |
| Together, answering | 100% | 1M |
| SiliconFlowFp8fp8, answering | 99.9% | 1M |
| Modal, answering | 100% | 1M |
| BaseTen, answering | 99.5% | 1M |
| ParasailFp8fp8, answering | 100% | 1M |
| Fireworks, answering | 100% | 1M |
| VeniceFp8fp8, answering | 98.7% | 1M |
| ParasailFastfp8, answering | 100% | 1M |
| FireworksUS, answering | 100% | 1M |
| VeniceUltrafastfp8, answering | 100% | 1M |