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Deepseek V3.2 API Pricing & Quick Start

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

Intelligence#183 / 573
25
Artificial Analysis Intelligence Index
Speed#166 / 586
0.0
Output tokens per second (median)
Input Price#327 / 586
$0.27NT$ 9
USD / 1M tokens
Output Price#277 / 586
$0.40NT$ 13
USD / 1M tokens
First-token latency#1 / 586
0.00s
Time to first token (AA median)
ProviderDeepSeek
ReleasedDecember 2025
Model IDdeepseek/deepseek-v3.2

Technical specifications

Context window
164K tokens
Reasoning
Yes
Input
Text
Output
Text

Pricing comparison

BazaarLink retail price alongside AA's observed market standard.

BazaarLink price our site

Input$0.27NT$ 9
Output$0.40NT$ 13
Cache read$0.13NT$ 4
Cache write
3:1 blended (est.)$0.30NT$ 10
All prices per 1M tokens. Supports TWD credit card / official invoice.

Market reference Artificial Analysis

Input$0.28
Output$0.42
Cache readAA not tracked
Cache writeAA not tracked
3:1 blended$0.32
✓ Matches market reference — BazaarLink does not mark up.
Source: artificialanalysis.ai

Independent benchmarks

Scores below come from Artificial Analysis, an independent third party. BazaarLink does not participate in the testing.

Intelligence 25
Coding
Math 59
MMLU 84
GPQA 75
This modelCategory leader
Overall intelligence
#183out of 573 models
Aggregated across academic benchmarks
Math reasoning
#118out of 269 models
AIME / MATH-500 / SciCode
Time to first token
🥇
#1out of 586 models
AA 全球 p50:0.00 秒
Intelligence
25
Mid-tier
This model
25
Category leader
61
Median
15
Math
59
Mid-tier
This model
59
Category leader
99
Median
53
MMLU Pro
84%
This model
84%
Category leader
90%
Median
75%
GPQA
75%
This model
75%
Category leader
94%
Median
69%
LiveCodeBench
59%
This model
59%
Category leader
42%
Median
42%
HLE
11%
This model
11%
Category leader
53%
Median
7%
SciCode
39%
This model
39%
Category leader
60%
Median
33%
IFBench
49%
This model
49%
Category leader
83%
Median
44%
τ²-Bench Telecom
79%
This model
79%
Category leader
99%
Median
46%
AA-LCR
39%
This model
39%
Category leader
76%
Median
40%
Terminal-Bench Hard
33%
This model
33%
Category leader
66%
Median
14%

Top 5 — CodingCoding Index leaderboard

1GPT-5.6 Sol (xhigh)openai/gpt-5-6-sol-xhigh78$5 / $30
4GPT-5.6 Sol (high)openai/gpt-5-6-sol-high77$5 / $30
5Claude Opus 5 (Adaptive Reasoning, Xhigh Effort)anthropic/claude-opus-5-xhigh77$5 / $25
AASource: Artificial Analysis · Independent third-party evaluation; not influenced by BazaarLinkView full evaluation on AA →

Quick Start

Use Deepseek V3.2 via BazaarLink API — just change the base_url:

Python
from openai import OpenAI

client = OpenAI(
    base_url="https://bazaarlink.ai/api/v1",
    api_key="sk-bl-YOUR_API_KEY",
)

response = client.chat.completions.create(
    model="deepseek/deepseek-v3.2",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
TypeScript
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://bazaarlink.ai/api/v1",
  apiKey: "sk-bl-YOUR_API_KEY",
});

const response = await client.chat.completions.create({
  model: "deepseek/deepseek-v3.2",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Why use Deepseek V3.2 via BazaarLink?

  • USD billing (TWD-quoted) + unified invoices — no foreign credit card needed for Taiwan teams
  • OpenAI-compatible API — zero code changes required
  • Automatic failover — multi-provider redundancy for the same model
  • Chinese-language support — local team, instant help
Try Now← All Models

Frequently Asked Questions

What is Deepseek V3.2?

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

How much does the Deepseek V3.2 API cost?

Deepseek V3.2 costs $0.2690 per 1M input tokens and $0.4000 per 1M output tokens when accessed through BazaarLink.

How do I use Deepseek V3.2 with the OpenAI SDK?

Set base_url to "https://bazaarlink.ai/api/v1" and use model ID "deepseek/deepseek-v3.2". All OpenAI SDK methods (chat.completions, embeddings, streaming) work without code changes.

What is the context window for Deepseek V3.2?

Deepseek V3.2 supports a context window of 163,840 tokens.

Is Deepseek V3.2 available for free?

Deepseek V3.2 is a paid model. BazaarLink offers free trial credits on registration so you can test it without a credit card.

Relay integrity checks

Tested endpoints
2 runs
Independent hosts
2
Model-family fingerprint match
50%
Anomalies detected
1 runs
Data range
past 90 days

BazaarLink Probe verifies endpoints that claim to serve this model and flags behavior that differs from the reference baseline.

View the full integrity report →

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ModelsAPI documentationAPI latency probe
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