DeepSeek model product
DeepSeek-V4-Pro-0813 is DeepSeek’s GA production release of DeepSeek-V4-Pro for agentic coding and tool-use workloads.
Updated Sep 8, 2026. Default version: DeepSeek-V4-Pro-0813
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for DeepSeek-V4-Pro-0813.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkDSBench-FullStack | Score71.10% | Rank01 | Participants2 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkDSBench-Hard | Score67.20% | Rank01 | Participants3 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam (with tools, text-only) | Score60.00% | Rank01 | Participants5 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkNL2Repo | Score61.50% | Rank01 | Participants22 | Percentile100.00% | EvidenceC | Evaluated |
| BenchmarkCyberGym | Score83.30% | Rank03 | Participants15 | Percentile85.71% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam (no tools, text-only) | Score42.70% | Rank03 | Participants3 | Percentile0.00% | EvidenceC | Evaluated |
| BenchmarkToolathlon | Score74.10% | Rank03 | Participants41 | Percentile95.00% | EvidenceC | Evaluated |
| BenchmarkLM Arena Agent Tool Hallucination | Score0.78% | Rank04 | Participants49 | Percentile93.75% | EvidenceA | Evaluated |
| BenchmarkAutomationBench | Score31.80% | Rank06 | Participants18 | Percentile70.59% | EvidenceC | Evaluated |
| BenchmarkDeepSWE | Score62.70% | Rank06 | Participants13 | Percentile58.33% | EvidenceC | Evaluated |
| BenchmarkTerminal-Bench 2.1 | Score87.90% | Rank06 | Participants35 | Percentile85.29% | EvidenceC | Evaluated |
| BenchmarkHumanity's Last Exam | Score60.00% | Rank07 | Participants103 | Percentile94.12% | EvidenceC | Evaluated |
| BenchmarkLM Arena Agent Task Outcome Explicit | Score11.75% | Rank08 | Participants49 | Percentile85.42% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Bash Recovery Steps | Score8.70% | Rank12 | Participants49 | Percentile77.08% | EvidenceA | Evaluated |
| BenchmarkAgents' Last Exam | Score25.70% | Rank14 | Participants16 | Percentile13.33% | EvidenceC | Evaluated |
| BenchmarkLM Arena Agent Leaderboard | Score5.43% | Rank15 | Participants49 | Percentile70.83% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Praise Complaint | Score5.24% | Rank17 | Participants49 | Percentile66.67% | EvidenceA | Evaluated |
| BenchmarkLM Arena Webdev | Score1,581.68 rating | Rank17 | Participants97 | Percentile83.33% | EvidenceA | Evaluated |
| BenchmarkLM Arena Agent Steerability | Score0.67% | Rank19 | Participants49 | Percentile62.50% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text | Score1,451.07 rating | Rank33 | Participants210 | Percentile84.69% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Factuality | Score1,454.90 rating | Rank38 | Participants121 | Percentile69.17% | EvidenceA | Evaluated |
| BenchmarkLM Arena Text Style Control | Score1,459.61 rating | Rank39 | Participants210 | Percentile81.82% | EvidenceA | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenaagent tool hallucination | Categoryoverall | Rank04 | Rating / score0.01 | VotesN/A | Observations2.7M | Result date |
| Arenatext factuality | Categoryjapanese | Rank06 | Rating / score1,463.81 | Votes489 | ObservationsN/A | Result date |
| Arenaagent task outcome explicit | Categoryoverall | Rank08 | Rating / score0.12 | VotesN/A | Observations20.4K | Result date |
| Arenaagent bash recovery steps | Categoryoverall | Rank12 | Rating / score0.09 | VotesN/A | Observations68K | Result date |
| Arenatext factuality | Categorygerman | Rank12 | Rating / score1,440.08 | Votes517 | ObservationsN/A | Result date |
| Arenaagent | Categoryoverall | Rank15 | Rating / score0.05 | VotesN/A | Observations2.8M | Result date |
| Arenatext style control | Categoryjapanese | Rank15 | Rating / score1,461.87 | Votes696 | ObservationsN/A | Result date |
| Arenatext factuality | Categorykorean | Rank16 | Rating / score1,413.56 | Votes621 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-react | Rank16 | Rating / score1,586.05 | Votes2,319 | ObservationsN/A | Result date |
| Arenaagent praise complaint | Categoryoverall | Rank17 | Rating / score0.05 | VotesN/A | Observations7.2K | Result date |
| Arenawebdev | Categoryoverall | Rank17 | Rating / score1,581.68 | Votes3,518 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev | Rank17 | Rating / score1,581.68 | Votes3,518 | ObservationsN/A | Result date |
| Arenatext | Categoryjapanese | Rank18 | Rating / score1,451.16 | Votes696 | ObservationsN/A | Result date |
| Arenaagent steerability | Categoryoverall | Rank19 | Rating / score0.01 | VotesN/A | Observations22K | Result date |
| Arenatext factuality | Categoryindustry medicine and healthcare | Rank19 | Rating / score1,491.18 | Votes3,070 | ObservationsN/A | Result date |
| Arenatext | Categorypolish | Rank20 | Rating / score1,463.60 | Votes1,085 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryspanish | Rank20 | Rating / score1,453.45 | Votes1,390 | ObservationsN/A | Result date |
| Arenawebdev | Categorywebdev-html | Rank20 | Rating / score1,555.52 | Votes388 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryfrench | Rank21 | Rating / score1,485.15 | Votes1,696 | ObservationsN/A | Result date |
| Arenatext factuality | Categorymulti turn | Rank22 | Rating / score1,477.42 | Votes8,554 | ObservationsN/A | Result date |
| Arenatext | Categorymulti turn | Rank25 | Rating / score1,468.23 | Votes9,809 | ObservationsN/A | Result date |
| Arenatext | Categorycreative writing | Rank26 | Rating / score1,444.15 | Votes9,029 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry legal and government | Rank26 | Rating / score1,477.94 | Votes3,547 | ObservationsN/A | Result date |
| Arenatext style control | Categoryindustry business and management and financial operations | Rank26 | Rating / score1,469.18 | Votes999 | ObservationsN/A | Result date |
| Arenatext factuality | Categorycreative writing | Rank27 | Rating / score1,445.17 | Votes8,016 | ObservationsN/A | Result date |
| Arenatext style control | Categorygerman | Rank27 | Rating / score1,468.15 | Votes965 | ObservationsN/A | Result date |
| Arenatext | Categorygerman | Rank28 | Rating / score1,457.02 | Votes965 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryexpert | Rank28 | Rating / score1,489.29 | Votes4,618 | ObservationsN/A | Result date |
| Arenatext | Categoryindustry writing and literature and language | Rank29 | Rating / score1,446.36 | Votes13,158 | ObservationsN/A | Result date |
| Arenatext factuality | Categoryindustry life and physical and social science | Rank29 | Rating / score1,483.96 | Votes7,616 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNvidia | Provider model IDdeepseek-ai/deepseek-v4-pro-0813 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderAlibaba Token Plan | Provider model IDdeepseek-v4-pro-0813 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderSCNet Token Plan | Provider model IDDeepSeek-V4-Pro-0813 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderAlibaba Token Plan (China) | Provider model IDdeepseek-v4-pro-0813 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context1M | Updated |
| ProviderCrofAI | Provider model IDdeepseek-v4-pro-0813 | Regionglobal | Input / 1M$0.35 | Output / 1M$0.80 | Context1M | Updated |
| ProviderOrcaRouter | Provider model IDdeepseek/deepseek-v4-pro-0813 | Regionglobal | Input / 1M$0.442 | Output / 1M$0.884 | Context1M | Updated |
| ProviderRunInfra | Provider model IDdeepseek-ai/DeepSeek-V4-Pro-0813 | Regionglobal | Input / 1M$0.60 | Output / 1M$1.9 | Context1M | Updated |
| ProviderMerge Gateway | Provider model IDdeepseek/deepseek-v4-pro-0813 | Regionglobal | Input / 1M$0.66 | Output / 1M$1.98 | Context1M | Updated |
| ProviderVercel AI Gateway | Provider model IDdeepseek/deepseek-v4-pro-0813 | Regionglobal | Input / 1M$0.66 | Output / 1M$1.98 | Context1M | Updated |
| ProviderAIHubMix | Provider model IDdeepseek-v4-pro-0813 | Regionglobal | Input / 1M$0.6918 | Output / 1M$2.08 | Context1M | Updated |
| ProviderOpenRouter | Provider model IDdeepseek/deepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.05 | Output / 1M$3.15 | Context1M | Updated |
| ProviderNanoGPT | Provider model IDdeepseek/deepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.1 | Output / 1M$2.5 | Context1M | Updated |
| ProviderDeep Infra | Provider model IDdeepseek-ai/DeepSeek-V4-Pro-0813 | Regionglobal | Input / 1M$1.3 | Output / 1M$2.6 | Context1M | Updated |
| ProviderWeights & Biases | Provider model IDdeepseek-ai/DeepSeek-V4-Pro-0813 | Regionglobal | Input / 1M$1.31 | Output / 1M$3.96 | Context1M | Updated |
| ProviderCloudflare Workers AI | Provider model ID@cf/deepseek-ai/deepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.32 | Output / 1M$3.96 | Context1M | Updated |
| ProviderHugging Face | Provider model IDdeepseek-ai/DeepSeek-V4-Pro-0813 | Regionglobal | Input / 1M$1.32 | Output / 1M$3.96 | Context1M | Updated |
| ProviderDigitalOcean | Provider model IDdeepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.32 | Output / 1M$3.96 | Context1M | Updated |
| ProviderArcee | Provider model IDdeepseek/deepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.32 | Output / 1M$3.96 | Context1M | Updated |
| ProviderTogether AI | Provider model IDdeepseek-ai/DeepSeek-V4-Pro-0813 | Regionglobal | Input / 1M$1.32 | Output / 1M$3.96 | Context1M | Updated |
| ProviderOfox | Provider model IDdeepseek/deepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.32 | Output / 1M$3.96 | Context1M | Updated |
| ProviderRequesty | Provider model IDdeepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.32 | Output / 1M$3.96 | Context1M | Updated |
| ProviderBaseten | Provider model IDdeepseek-ai/DeepSeek-V4-Pro-0813 | Regionglobal | Input / 1M$1.32 | Output / 1M$3.96 | Context1M | Updated |
| ProviderEmpirioLabs AI | Provider model IDdeepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.32 | Output / 1M$3.96 | Context1M | Updated |
| ProviderKilo Gateway | Provider model IDdeepseek/deepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.32 | Output / 1M$3.96 | Context1M | Updated |
| ProviderFireworks AI | Provider model IDaccounts/fireworks/models/deepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.32 | Output / 1M$3.96 | Context1M | Updated |
| ProviderVolcengine Ark | Provider model IDdeepseek-v4-pro-ga-260813 | Regionglobal | Input / 1M$1.34 | Output / 1M$4.01 | Context1M | Updated |
| ProviderVivgrid | Provider model IDdeepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.35 | Output / 1M$3 | Context1M | Updated |
| ProviderCharm Hyper | Provider model IDdeepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.44 | Output / 1M$4.31 | Context1M | Updated |
| ProviderVenice AI | Provider model IDdeepseek-v4-pro-0813 | Regionglobal | Input / 1M$1.65 | Output / 1M$4.95 | Context1M | Updated |
| ProviderCortecs | Provider model IDdeepseek-v4-pro-0813 | Regionglobal | Input / 1M$2 | Output / 1M$4 | Context1M | Updated |
Provider-specific output speed and catalog latency for DeepSeek-V4-Pro-0813. Runtime does not affect the capability score.
Provider | Output Speed | Catalog Latency | Max Input | Max Output | Updated |
|---|
| ProviderDeepSeek | Output Speed45.48 tok/s | Catalog Latency2.00 s | Max Input1M | Max Output393.2K | Updated |
| ProviderDeepInfra | Output Speed33.89 tok/s | Catalog Latency2.40 s | Max Input1M | Max Output393.2K | Updated |
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionDeepSeek-V4-Pro-0813 | Released | LLMBoard86.78 | Parameters1.6T | Context1M | Max output393.2K | Open weightsYes | LicenseMIT |
| VersionDeepSeek-V4-Pro-Max | Released | LLMBoardN/A | Parameters1.6T | Context1M | Max output393.2K | Open weightsYes | LicenseMIT |
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about DeepSeek-V4-Pro and its available data.
6T-parameter MoE large language model with 49B activated parameters, low, high, and max reasoning effort, a 1M-token context window, and up to 384K output tokens.
It is served through the OpenAI-compatible Chat Completions and Responses APIs under the ID `deepseek-v4-pro`, with open weights available at `deepseek-ai/DeepSeek-V4-Pro-0813` under the MIT license.
Data as of 2026-09-08.
Common questions about DeepSeek-V4-Pro.
DeepSeek-V4-Pro's default version was released on Aug 13, 2026.
No official standard PAYG price is currently available for DeepSeek-V4-Pro. The lowest tracked third-party offer starts at $0.35 input and $0.80 output via CrofAI.
DeepSeek-V4-Pro was created by DeepSeek.
The default version has a 1M token context window.
Yes. The default version is marked as open weight under MIT.
30 provider offerings are linked to the default version.
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.