DeepSeek V3.2
DeepSeek V3.2 is DeepSeek's reasoning-first general model built for agents, serving both the chat and reasoner endpoints in non-thinking and thinking modes.
input · usd / 1m tok
$0.58
output · usd / 1m tok
$1.68
context window
163.84ktokens
modalities · in → out
takes text in, gives text out
pricing
base api ratesusd per 1m tokens
- input
- $0.58
- output
- $1.68
providers
Azure AI Foundry hosts DeepSeek V3.2. Impossibl routes your request intelligently and handles failover automatically when a provider is down.
Azure AI Foundry
Azure AI Foundry serving options endpoint location routes East US 2 1 East US 1 locations describe provider endpoints; they do not guarantee where inference runs.
specifications
takes text in, gives text outdeepseek/deepseek-v3-2
- creatorDeepSeek
- model typeText generation
- context window163,840 tokens
- maximum outputnot published
- input
takes text in, gives text out
- outputtext
- tool callingnot verified
- releaseddec 1, 2025
- endpoint
/v1/chat/completions
unknown means the public catalog does not establish that fact. a model's documented capabilities can differ from what a particular api supports. see the model documentation for integration details.
try it · your prompt, this model, live
# responses API
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["IMPOSSIBL_API_KEY"],
base_url="https://api.impossibl.com/v1",
)
resp = client.responses.create(
model="deepseek/deepseek-v3-2",
input="",
)
print(resp.output_text)
edit the prompt, then run
benchmarks
intelligence index
16.0#82 of 108 models on the gateway
- omniscience-46.9#78 of 84
- gpqa75.1%#61 of 80
- humanity’s last exam11.2%#68 of 87
- Tau278.9%
- GPQA75.1%
- LiveCodeBench59.3%
- AIME 202559.0%
- IFBench49.0%
- AA-LCR45.7%
- Terminal-Bench Hard32.6%
- Humanity’s Last Exam11.2%
- CritPt0.9%
- Intelligence Index16.04
- Omniscience Index-46.88
- intelligence index (API)16
each configuration is listed separately; these evaluations describe the tested model configuration, and performance and costs can differ on impossibl. unmeasured scores are omitted and api values keep their source units. last checked 2026-10-14.
compare DeepSeek V3.2 with other models
frontier labs and open weights, best-ranked firstusd / 1m tok · in / out
- anthropic/claude-opus-5-5$4.00 / $20.00compare →
- openai/gpt-6-astra$10.00 / $50.00compare →
- meta/muse-wonder$4.00 / $20.00compare →
- xiaomi/mimo-v2.6-pro$0.435 / $0.87compare →
frequently asked questions
What is DeepSeek V3.2?
DeepSeek V3.2 is DeepSeek's reasoning-first general model built for agents, serving both the chat and reasoner endpoints in non-thinking and thinking modes. It introduces DeepSeek Sparse Attention for efficient long-context work and integrates thinking directly into tool use in both modes.
How much does DeepSeek V3.2 cost?
DeepSeek V3.2 costs $0.58 per million input tokens and $1.68 per million output tokens through the Impossibl API. All rates are in USD.
What is the context length of DeepSeek V3.2?
DeepSeek V3.2 has a 163,840-token context window through the Impossibl API.
What inputs and outputs does DeepSeek V3.2 support?
DeepSeek V3.2 accepts text as input. DeepSeek V3.2 returns text.
How do I use DeepSeek V3.2 through an API?
DeepSeek V3.2 is available through the Impossibl API. Use deepseek/deepseek-v3-2 as the model identifier with /v1/chat/completions. The quickstart explains how to create an API key and send your first request.
When was DeepSeek V3.2 released?
DeepSeek released DeepSeek V3.2 on December 1, 2025.
this page describes DeepSeek V3.2 as listed by the impossibl public api. prices and availability come from that catalog, refreshed here every five minutes. this is an impossibl offering, not a comparison of independent hosting-provider quotes. model descriptions and release dates, where available, use the creator sources linked under the answers above.
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