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DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
At a glance
- Context window
- 1Mtokens
- Max output
- 393Ktokens
- Knowledge to
- —
- Released
- 2026
Capabilities
CapabilitiesReasoningToolsStructured output
InputText
OutputText
ReasoningSupportedmaxhighlow
Benchmarks
- Intelligence index
- 36
- Coding index
- 69
- Agentic index
- 42
Standard evaluations
| Benchmark | Score | Tasks |
|---|---|---|
| gpqa_diamond | 0.89 | 987 |
| tau_bench_verified_airline | 0.78 | 200 |
Source: Artificial Analysis · as of Sep 16, 2026
Performance
Uptime on IranRouter
43.1%
Aug 18Sep 16
Reference uptime
100%
Aug 18Sep 16
Median latency
1,360 ms
Aug 18Sep 16
Throughput
52.7 tok/s
Aug 18Sep 16
IranRouter uptime comes from our own automated probes; the reference figures are daily measurements of this model's upstream routes. Each card shows a 30-day average, and a day without data stays empty.
Popularity
- Current rank
- #23
- Rank change, 7 days
- -4
Daily tokens · 90 days
149.8B
Jun 18Sep 15
Ranked by daily token volume across the global model market; the figure above the chart is the daily average.
Supported parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Parameters this model accepts; anything else is ignored.
Quick start
from openai import OpenAI
client = OpenAI(
api_key="ir-...",
base_url="https://iranrouter.com/v1",
)
resp = client.chat.completions.create(
model="deepseek/deepseek-v4-pro-0813",
messages=[{"role": "user", "content": "سلام!"}],
)
print(resp.choices[0].message.content)Only base_url and the key change; the rest of your code stays as it is.