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DeepSeek · Open weights

DeepSeek V3.2 Exp

Added Jan 1, 2024Open weights

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Use in the app

DeepSeek V3.2 Exp is an experimental V3-series model with improved long-context efficiency compared with earlier V3 releases. FP8.

Input
Text
Output
Text
Discovery tier
Open weights

Pricing

USD per 1M tokens
Input
$0.28
Output
$0.42

Reference prices as published by the model provider. API example

Specifications

Context window
163.8K
Max output
65.5K
Average output (7 days)
716 tokens
Longer than 62% of 468 models

Side by side

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Public evaluations

Benchmarks

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

Intelligence Index

13.9

Better than 34% of 326 scored models

3.8Catalog models by score55.1

Indexes

  • Math Index

    57.7

    Composite of the math evaluations

    Better than 55% of 118 scored models

Document reasoning

  • AA-LCRv1.1

    44.7%

    Reasoning across long documents

    Better than 21% of 309 scored models

Reasoning and knowledge

  • Humanity’s Last Exam

    9.0%

    Expert-level questions across academic fields

    Better than 30% of 323 scored models

  • GPQA Diamond

    73.8%

    Graduate-level science questions

    Better than 32% of 291 scored models

  • MMLU-Pro

    83.6%

    Multi-subject knowledge and reasoning

    Better than 76% of 132 scored models

  • IFBench

    43.1%

    Following precise output instructions

    Better than 35% of 215 scored models

Coding

  • LiveCodeBench

    55.4%

    Recent competitive programming problems

    Better than 47% of 129 scored models

Math

  • AIME 2025

    57.7%

    Competition mathematics, 2025 problems

    Better than 55% of 118 scored models

Legacy evaluations

  • Terminal-Bench Hard

    25.0%

    Earlier terminal task suite

    Better than 47% of 212 scored models

  • τ²-Bench Telecom

    33.9%

    Tool use in a customer-support simulation

    Better than 26% of 214 scored models

  • AA-LCR (unversioned)

    44.7%

    Long-context reasoning, earlier grading

    Better than 21% 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
17.9 tok/s
Faster than 11% of 259 models
Time to first token
4.8 s
Quicker than 35% of 259 models
Prompt cache hits
53.8%
Request success (24h)
99.8%
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 83.3%
  • 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-ai/deepseek-v3.2-exp",
    "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-ai/deepseek-v3.2-exp",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)

DeepSeek

Other DeepSeek models, starting with the same family.