Model summary
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) is amongst the leading models in intelligence and reasonably priced when comparing to other open weight models of similar size. It's also faster than average, however somewhat verbose. The model supports text input, outputs text, and has a 1M tokens context window.
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) scores 53 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 27). When evaluating the Intelligence Index, it generated 130M tokens, which is somewhat verbose in comparison to the median of 100M.
Pricing for DeepSeek V4 Pro 0813 (Reasoning, Max Effort) is $0.43 per 1M input tokens (somewhat expensive, median: $0.33) and $0.87 per 1M output tokens (moderately priced, median: $1.20). In total, it cost $135.03 to evaluate DeepSeek V4 Pro 0813 (Reasoning, Max Effort) on the Intelligence Index.
At 83 tokens per second, DeepSeek V4 Pro 0813 (Reasoning, Max Effort) is faster than average (66).
| Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. |
|---|---|
| Input modality | Supports: text |
| Output modality | Supports: text |
| Context window | 1M ~1500 A4 pages of size 12 Arial font |
| Total parameters | 1600B |
| Active parameters | 49B Number of parameters active per token during inference |
Metrics are compared against models of the same class:
- Non-reasoning models → compared only with other non-reasoning models
- Reasoning models → compared across both reasoning and non-reasoning
- Open weights models → compared only with other open weights models of the same size class:
- Tiny: ≤4B parameters
- Small: 4B–40B parameters
- Medium: 40B–150B parameters
- Large: >150B parameters
-
Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio:
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<$0.15 per 1M tokens
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$0.15–$1 per 1M tokens
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$1 per 1M tokens Highlights
Intelligence #
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Evaluations
Agentic real-world work tasks, (Elo-500)/2000
[𝜏³-Banking](/evaluations/tau3-banking)Updated
Agentic tool use
Agentic coding & terminal use
Coding
Humanity's Last ExamUpdated Reasoning & knowledge
Scientific reasoning
Physics reasoning
AA-Omniscience AccuracyUpdated Knowledge
1 - hallucination rate
AA-LCRUpdated Long context reasoning
Agentic knowledge work, Elo
Agentic SaaS workflows
Legal agentic work, criterion pass rate
Agentic business operations
Quantitative analysis on spreadsheets & documents
Instruction following
Long-horizon agentic tasks
Kubernetes incident root-cause analysis
Visual reasoning
AA-Omniscience
AA-Omniscience Index
Openness Index #
Artificial Analysis Openness Index: Score
Intelligence Index Comparisons #
Intelligence Index vs. Cost per Intelligence Index Task
Token Use #
Output Tokens per Intelligence Index Task
Cost #
Cost per Intelligence Index Task
Cost to Run Artificial Analysis Intelligence Index
Pricing: Cache Hit, Input, and Output
Context Window #
Context Window
Speed #
Measured by Output Speed (tokens per second)
Output Speed
Time per Intelligence Index Task
Latency #
Measured by Time (seconds) to First Token
Latency: Time To First Answer Token
End-to-End Response Time #
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Model Size (Open Weights Models Only) #
Model Size: Total and Active Parameters
Frequently Asked Questions #
Common questions about DeepSeek V4 Pro 0813 (Reasoning, Max Effort)
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) was released on August 13, 2026.
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) was created by DeepSeek.
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) scores 53 on the Artificial Analysis Intelligence Index, placing it well above average among other open weight models of similar size (median: 27).
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) generates output at 83.2 tokens per second (based on DeepSeek's API), which is above average compared to other open weight models of similar size (median: 66.2 t/s).
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) has a time to first token (TTFT) of 1.63s (based on DeepSeek's API), which is better than average compared to other open weight models of similar size (median: 1.89s).
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) costs $0.43 per 1M input tokens (better than average, median: $0.56) and $0.87 per 1M output tokens (very competitive, median: $2.20), based on DeepSeek's API.
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) costs $0.43 per 1M input tokens and $0.87 per 1M output tokens (based on DeepSeek's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $0.18 per 1M tokens. Pricing may vary by provider. Compare provider pricing
When evaluated on the Intelligence Index, DeepSeek V4 Pro 0813 (Reasoning, Max Effort) generated 130M output tokens, which is somewhat higher than average compared to other open weight models of similar size (median: 100M).
Yes, DeepSeek V4 Pro 0813 (Reasoning, Max Effort) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) supports text input.
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) supports text output.
No, DeepSeek V4 Pro 0813 (Reasoning, Max Effort) does not support image input. It can only process text.
No, DeepSeek V4 Pro 0813 (Reasoning, Max Effort) is not multimodal. It only supports text input.
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.
Yes, DeepSeek V4 Pro 0813 (Reasoning, Max Effort) is open weights. The model weights are publicly available.
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) has 1.6 trillion parameters (49 billion active).
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) is a Mixture of Experts (MoE) model with 1.6 trillion total parameters, but only 49 billion active parameters are used during inference.
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) achieves a score of 53 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.
Yes, DeepSeek V4 Pro 0813 (Reasoning, Max Effort) is available via API through 1 provider. [Compare API providers](/models/deepseek-v4-pro/providers)
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) is available through 1 API provider. [Compare providers](/models/deepseek-v4-pro/providers)