Provider ranking # Best DeepSeek Models in October 2026 > Best DeepSeek Models: As of October 2026, DeepSeek V4 Pro leads the Noometry Index with a score of 54.3, ahead of DeepSeek V4 Flash at 53.6. The two are close eno… 16 models ranked with sources. - Canonical page: https://noometry.com/best/deepseek-models - Last updated: 2026-10-10 - Title: Best DeepSeek Models (October 2026) | Noometry As of October 2026, DeepSeek V4 Pro leads the Noometry Index with a score of 54.3, ahead of DeepSeek V4 Flash at 53.6. The two are close enough that new results could swap them. Last verified October 10, 2026 Every ranked DeepSeek model, from the current flagship down. Best DeepSeek Models: top 10 1. DeepSeek V4 Pro 54.3 2. DeepSeek V4 Flash 53.6 3. DeepSeek V4.1 Flash 52.8 4. DeepSeek-V3.2-Exp 44.3 5. DeepSeek-V3.1-Terminus 43.1 6. DeepSeek-V3.1 42.8 7. DeepSeek-R1 42.3 8. DeepSeek-V3.2-Speciale 39.7 9. DeepSeek-V3 39.5 10. DeepSeek-R1-Distill-Llama-70B 37.8 11. 303540455055 ## Full ranking 16 models Best DeepSeek Models | | | | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek V4 Pro](https://noometry.com/models/deepseek-v4-pro) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 1M | 54.3 | $0.66 | $1.98 | 54.9 | 16 | | 2 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek V4 Flash](https://noometry.com/models/deepseek-v4-flash) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 1M | 53.6 | $0.15 | $0.60 | 204 | 6 | | 3 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek V4.1 Flash](https://noometry.com/models/deepseek-v4-1-flash) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 1M | 52.8 | $0.15 | $0.60 | 201 | — | | 4 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.2-Exp](https://noometry.com/models/deepseek-v3-2-exp) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 44.3 | $0.26 | $0.38 | 153 | 16 | | 5 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.1-Terminus](https://noometry.com/models/deepseek-v3-1-terminus) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 43.1 | $0.27 | $1 | 95.4 | 30 | | 6 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.1](https://noometry.com/models/deepseek-v3-1) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 42.8 | $0.25 | $0.95 | 101 | 328 | | 7 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek-R1](https://noometry.com/models/deepseek-r1) | [DeepSeek](https://noometry.com/providers/deepseek) | Proprietary | 164K | 42.3 | $0.50 | $2.15 | 46.4 | 10 | | 8 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3.2-Speciale](https://noometry.com/models/deepseek-v3-2-speciale) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 128K | 39.7 | $0.58 | $1.68 | 46.4 | — | | 9 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V3](https://noometry.com/models/deepseek-v3) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | 164K | 39.5 | $0.24 | $0.90 | 97.5 | 73 | | 10 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek-R1-Distill-Llama-70B](https://noometry.com/models/deepseek-r1-distill-llama-70b) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 37.8 | — | — | — | 18 | | 11 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek-V2.5 (Sep 2024)](https://noometry.com/models/deepseek-v2-5) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 37.6 | — | — | — | — | | 12 | ![](/logos/deepseek.svg) DeepSeek [Deepseek Coder v2](https://noometry.com/models/deepseek-coder-v2) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 35.9 | — | — | — | — | | 13 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek-R1-Distill-Qwen-32B](https://noometry.com/models/deepseek-r1-distill-qwen-32b) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 35.5 | — | — | — | — | | 14 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek-R1-Distill-Qwen-14B](https://noometry.com/models/deepseek-r1-distill-qwen-14b) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 32.7 | — | — | — | — | | 15 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek-R1-Distill-Qwen-1.5B](https://noometry.com/models/deepseek-r1-distill-qwen-1-5b) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 26.1 | — | — | — | — | | 16 | ![](/logos/deepseek.svg) DeepSeek [DeepSeek LLM 67B](https://noometry.com/models/deepseek-llm-67b) | [DeepSeek](https://noometry.com/providers/deepseek) | Open | — | 24.9 | — | — | — | — | Sponsored placements are available on pages like this one. [Advertise on Noometry](https://noometry.com/advertise) ## Compare the leaders - [DeepSeek V4 Pro vs DeepSeek V4 Flash](https://noometry.com/compare/deepseek-v4-flash-vs-deepseek-v4-pro) - [DeepSeek V4 Pro vs DeepSeek V4.1 Flash](https://noometry.com/compare/deepseek-v4-1-flash-vs-deepseek-v4-pro) - [DeepSeek V4 Pro vs DeepSeek-V3.2-Exp](https://noometry.com/compare/deepseek-v3-2-exp-vs-deepseek-v4-pro) - [DeepSeek V4 Flash vs DeepSeek V4.1 Flash](https://noometry.com/compare/deepseek-v4-1-flash-vs-deepseek-v4-flash) - [DeepSeek V4 Flash vs DeepSeek-V3.2-Exp](https://noometry.com/compare/deepseek-v3-2-exp-vs-deepseek-v4-flash) - [DeepSeek V4.1 Flash vs DeepSeek-V3.2-Exp](https://noometry.com/compare/deepseek-v3-2-exp-vs-deepseek-v4-1-flash) ## Related rankings - [Best OpenAI Models](https://noometry.com/best/openai-models) - [Best Anthropic Models](https://noometry.com/best/anthropic-models) - [Best Google Models](https://noometry.com/best/google-models) - [Best Meta Models](https://noometry.com/best/meta-models) - [Best Mistral Models](https://noometry.com/best/mistral-models) - [Best xAI Grok Models](https://noometry.com/best/xai-models) - [Best Alibaba Qwen Models](https://noometry.com/best/alibaba-models) - [Best Moonshot Kimi Models](https://noometry.com/best/moonshot-models) - [Best Z.ai GLM Models](https://noometry.com/best/zai-models) - [Best MiniMax Models](https://noometry.com/best/minimax-models) - [Best Microsoft Models](https://noometry.com/best/microsoft-models) - [Best NVIDIA Models](https://noometry.com/best/nvidia-models) - [Best Amazon Nova Models](https://noometry.com/best/amazon-models) - [Best Cohere Models](https://noometry.com/best/cohere-models) ## Frequently asked questions ### Which DeepSeek model is best? As of October 2026, DeepSeek V4 Pro leads the Noometry Index with a score of 54.3, ahead of DeepSeek V4 Flash at 53.6. The two are close enough that new results could swap them. ### What are the top 5 in this ranking? DeepSeek V4 Pro, DeepSeek V4 Flash, DeepSeek V4.1 Flash, DeepSeek-V3.2-Exp, DeepSeek-V3.1-Terminus, in that order, as of October 2026. ### How is this list ranked? By the Noometry Index, which is fitted from every public benchmark result and adjusted for how hard each benchmark is. Models need several independent results to be ranked. ### Cite this page Noometry. (2026). Best DeepSeek Models. Retrieved October 10, 2026, from https://noometry.com/best/deepseek-models Quote Noometry with a link back to this page. It is also available in [Markdown](https://noometry.com/md/best/deepseek-models.md).