DeepSeek
Model lab · 14 models · also sold by 45 other providers · deepseek.com
DeepSeek models
| In / out per 1M | Cheapest route | |||||||
|---|---|---|---|---|---|---|---|---|
1MCheapest: $0.081 on Particle AI (us-flex) | $0.15 | $0.6 | $0.15 / $0.6 | $0.262 | 1M | $0.081 on Particle AI (us-flex) | · | 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. |
1M | $0.045 | $0.3 | $0.045 / $0.3 | $0.109 | 1M | on InferenceNet (fp8) | · | 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. |
1M | $0.44 | $1.32 | $0.44 / $1.32 | $0.66 | 1M | on DeepInfra (fp8) | · | DeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of DeepSeek V4 Flash 0731 from DeepSeek, adding image understanding while matching the base model on text capabi |
1M | $0.66 | $1.98 | $0.66 / $1.98 | $0.99 | 1M | Lab list price | · | DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. |
1M | $0.019 | $0.3 | $0.019 / $0.3 | $0.089 | 1M | on Sail Research (us) | · | DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. |
1M | $0.09 | $0.18 | $0.09 / $0.18 | $0.113 | 1M | on DeepInfra (fp8) | · | DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. |
1M | $0.9 | $1.5 | $0.9 / $1.5 | $1.05 | 1M | on Relace (fp4) | · | DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. |
164K | $0.26 | $0.38 | $0.26 / $0.38 | $0.29 | 164K | on DeepInfra (fp4) | · | DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. |
164K | $0.27 | $0.41 | $0.27 / $0.41 | $0.305 | 164K | on SiliconFlow (fp8) | · | DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. |
164K | $0.27 | $1 | $0.27 / $1 | $0.453 | 164K | on SiliconFlow (fp8) | · | DeepSeek-V3.1 Terminus is an update to DeepSeek V3.1 that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further |
164K | $0.25 | $0.95 | $0.25 / $0.95 | $0.425 | 164K | on DeepInfra (fp4) | · | DeepSeek-V3.1 is a large hybrid reasoning model (671B parameters, 37B active) that supports both thinking and non-thinking modes via prompt templates. |
164K | $0.5 | $2.15 | $0.5 / $2.15 | $0.913 | 164K | on DeepInfra (fp4) | · | May 28th update to the original DeepSeek R1 Performance on par with OpenAI o1, but open-sourced and with fully open reasoning tokens. |
164K | $0.25 | $1 | $0.25 / $1 | $0.438 | 164K | on SiliconFlow (fp8) | · | DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. |
164K | $0.256 | $0.712 | $0.256 / $0.712 | $0.37 | 164K | on DeepInfra (fp4-flex) | · | DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. |
On other routes
| Model | In / out per 1M | Vs headline | |
|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | $0.025 / $0.25-69% vs headline | -69% | us-flex · 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. |
| DeepSeek V4 Flash 0731 | $0.019 / $0.3Same vs headline | Same | us, fp4 · DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. |
| $0.06 / $0.18+1% vs headline | +1% | fp8 · DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. | |
| DeepSeek V4 Flash 0731 | $0.021 / $0.3+2% vs headline | +2% | fp4 · DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. |
| DeepSeek V4 Flash 0731 | $0.03 / $0.32+15% vs headline | +15% | fp4 · DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. |
| DeepSeek V4 Flash 0731 | $0.043 / $0.3+21% vs headline | +21% | us, nvfp4 · DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. |
| DeepSeek V4.1 Flash | $0.045 / $0.3Same vs headline | Same | fp8 · 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. |
| $0.09 / $0.18Same vs headline | Same | fp8 · DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. | |
| DeepSeek V4.1 Flash 1017 | $0.101 / $0.15-57% vs headline | -57% | fp4-us, fp4 · 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. |
| $0.098 / $0.196+9% vs headline | +9% | DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. | |
| DeepSeek V4 Flash 0731 | $0.09 / $0.23+40% vs headline | +40% | fp4 · DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. |
| $0.105 / $0.21+17% vs headline | +17% | DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. | |
| DeepSeek V4 Flash 0731 | $0.08 / $0.35+65% vs headline | +65% | fast, nvfp4 · DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. |
| $0.119 / $0.238+67% vs headline | +67% | DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. | |
| DeepSeek V4.1 Flash | $0.035 / $0.5+39% vs headline | +39% | fp4 · 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. |
| DeepSeek V4.1 Flash 1017 | $0.035 / $0.5-42% vs headline | -42% | fp4 · 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. |
| DeepSeek V4.1 Flash 1017 | $0.038 / $0.5-42% vs headline | -42% | us, mxfp4 · 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. |
| DeepSeek V4.1 Flash | $0.045 / $0.5+46% vs headline | +46% | us, mxfp4 · 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. |
| $0.13 / $0.26+82% vs headline | +82% | fp32 · DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. | |
| $0.13 / $0.26+82% vs headline | +82% | fp8 · DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. |
About DeepSeek
Hangzhou DeepSeek Artificial Intelligence Basic Technology Research Co., Ltd., doing business as DeepSeek, is a Chinese artificial intelligence (AI) company that develops open weights large language models (LLMs).
Caching: Separate cache hit and cache miss input prices (e.g. deepseek-flash off-peak $0.003 hit vs $0.15 miss per 1M); off-peak rates are half of peak rates
DeepSeek on the price map
Size: context window, 8K to 2MEqual blended cost (3:1) 247 models, lower left is cheaper