DeepSeek-V4-Pro-0813: API Pricing, Context Window & Benchmarks
DeepSeek-V4-Pro-0813 is a language model from DeepSeek, released in August 2026, with a 1.0M-token context window, and pricing from $1.30/M input, $0.100/M cached input, $2.60/M output.
DeepSeek-V4-Pro-0813 is the GA / production release of DeepSeek-V4-Pro, with major upgrades for agentic coding and tool-use workloads. It is served behind the official API id `deepseek-v4-pro` and is distinct from catalog
DeepSeek-V4-Pro-0813 benchmarks
Capability tiers
Standing within each category, adjusted for leaderboard depth.
Real tasks performance
High-confidence performance for DeepSeek-V4-Pro-0813 across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.
Performance by conversation depth
How DeepSeek-V4-Pro-0813 holds up as conversations get longer.
Quality Tracker
DeepSeek-V4-Pro-0813 Performance Across Datasets
Scores sourced from the model's scorecard, paper, or official blog posts
llm-stats.com - Mon Sep 07 2026DeepSeek-V4-Pro-0813 pricing
Providers
DeepSeek-V4-Pro-0813 starts at $0.435 per million input tokens and $0.870 per million output tokens via DeepSeek. Reused prompt prefixes cost $0.0036 per million cached input tokens. See all 4 providers below with their per-token pricing, latency, throughput, and modality support.
| Provider | Input $/M | Cached input $/M | Output $/M | Context in / out | TTFT p95 s | Output p5 c/s | Modalities in / out |
|---|---|---|---|---|---|---|---|
 DeepSeek | $0.435 | $0.0036 | $0.870 | 1.0M/393.2K | 2.00 | 46 | / |
 DeepInfra | $1.30 | $0.100 | $2.60 | 1.0M/393.2K | 2.40 | 34 | / |
 Novita | $1.32 | $0.132 | $3.96 | 1.0M/393.2K | 1.58 | 23 | / |
 Together | $1.32 | $0.130 | $3.96 | 1.0M/393.2K | 4.50 | 49 | / |
Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.
DeepSeek-V4-Pro-0813 model size
DeepSeek-V4-Pro-0813 has 1.6 trillion parameters. See how it compares to other models in the same parameter range.
DeepSeek-V4-Pro-0813 context window
Input and output token limits for DeepSeek-V4-Pro-0813, plus how it ranks on long-context understanding.
DeepSeek-V4-Pro-0813 API
Run a request to see the response
Use it in your code
Billed at $1.30 input / $0.10 cached input / $2.60 output per 1M tokens through the LLM Stats gateway.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://gateway.llm-stats.com/v1"
)
response = client.chat.completions.create(
model="deepseek-v4-pro-0813",
messages=[
{"role": "user", "content": "What is machine learning?"}
]
)
print(response.choices[0].message.content)Need an API key? Create one above in the playground, or read the API documentation.
DeepSeek-V4-Pro-0813 latency
DeepSeek-V4-Pro-0813 time to first token, sustained output throughput, and failed-request rate from live API traffic over the trailing 7 days.
Provider operational metrics
Time to first token, output throughput, and failed-request rate from live API traffic
DeepSeek-V4-Pro-0813 examples
Recent arena outputs from DeepSeek-V4-Pro-0813, picked from the highest-ranked matchups.
DeepSeek-V4-Pro-0813 license
DeepSeek-V4-Pro-0813 is released under the MIT license, which permits commercial use, has 1.6T parameters.
- License
- MIT
- Commercial use allowed
- Parameters
- 1.6T
MIT License - allows commercial use
DeepSeek-V4-Pro-0813 resources
Official sources for DeepSeek-V4-Pro-0813: api documentation, official playground, paper or system card, official launch post, source repository, model weights.
DeepSeek-V4-Pro-0813 vs other models
The most-compared alternatives to DeepSeek-V4-Pro-0813 are Qwen3.8 Max, Claude Opus 4.8, Muse Spark 1.1. Open any pair side-by-side for benchmarks, pricing, context, and latency.
Models like DeepSeek-V4-Pro-0813
Models ranked just above and below DeepSeek-V4-Pro-0813 by LLM Stats score.
FAQ
Common questions about DeepSeek-V4-Pro-0813.