NOUMENOpen app
NOUMEN

DeepSeek · Open weights

DeepSeek V3/Deepseek Chat

Added Feb 27, 2025Open weights

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

Use in the app

DeepSeek original V3 model, trained on nearly 15 trillion tokens, matches leading closed-source models at a far lower price. Quantized at FP8.

  • Tools
  • Structured output
  • PDF input
Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.10
Output
$0.43

Reference prices as published by the model provider. API example

Specifications

Context window
128K
Max output
8.2K
Average output (7 days)
293 tokens
Longer than 30% of 465 models

Side by side

Compare models

Put DeepSeek V3/Deepseek Chat next to up to three other models. The comparison stays in the link, so you can share it.

Compare models

Choose up to 3 models to compare.0 of 3 chosen

Loading models…

TryGemini 2.5 ProQwen3 MaxStep 3.5 FlashAll 3

Public evaluations

Benchmarks

Independent evaluation results, with how each score ranks among the models in the Noumen catalog.

Intelligence Index

16.0

Better than 40% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    59.0

    Composite of the math evaluations

    Better than 56% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    45.7%

    Reasoning across long documents

    Better than 23% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    11.2%

    Expert-level questions across academic fields

    Better than 36% of 323 scored models

  • GPQA Diamond

    75.1%

    Graduate-level science questions

    Better than 36% of 291 scored models

  • MMLU-Pro

    83.7%

    Multi-subject knowledge and reasoning

    Better than 78% of 132 scored models

  • IFBench

    49.0%

    Following precise output instructions

    Better than 48% of 215 scored models

Coding

  • LiveCodeBench

    59.3%

    Recent competitive programming problems

    Better than 55% of 129 scored models

Math

  • AIME 2025

    59.0%

    Competition mathematics, 2025 problems

    Better than 56% of 118 scored models

Legacy evaluations

  • Terminal-Bench Hard

    32.6%

    Earlier terminal task suite

    Better than 60% of 212 scored models

  • τ²-Bench Telecom

    78.9%

    Tool use in a customer-support simulation

    Better than 58% of 214 scored models

  • AA-LCR (unversioned)

    45.7%

    Long-context reasoning, earlier grading

    Better than 23% of 309 scored models

Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput
25.4 tok/s
Faster than 15% of 250 models
Time to first token
3.6 s
Quicker than 47% of 250 models
Prompt cache hits
76.8%
Request success (24h)
99.9%
Reliable

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Hourly request success · last 72 hoursLowest hour 98.2%
  • Healthy (98% or more)
  • Degraded (90–98%)
  • Down (under 90%)
  • No requests

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart
curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-chat",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'
import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="deepseek-chat",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

DeepSeek

Other DeepSeek models, starting with the same family.