AI Model Intelligence

DeepSeek-V3-0324

deepseek/v3-0324

By DeepSeek · family: deepseek · released 2025-08-05 · knowledge: 2024-07

$0.200
Input / 1M tokens
$0.770
Output / 1M tokens
128K
Context window
16K
Max output

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capabilities

Tool callingReasoningStructured outputAttachmentsOpen weightsTemperature control
Modalities: input text · output text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding49
  • Tool calling40/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability7/10
Agents52
  • Tool calling35/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit10/15
  • Provider availability7/10
JSON / structured output48
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume18/20
Cost efficiency68
  • Headline price (log-scaled)63/95
  • Has prompt-cache pricing5/5
Long context45
  • Context window (100K → 2M)35/90
  • Has published price for full window10/10
Production-readiness91
  • Number of independent providers35/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers6/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$1.39
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$2.77
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$0.79
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$2.37
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$2.86
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Pricing detail

Recommended pricing from nano-gpt · deepseek-v3-0324

$0.200
Input
$0.770
Output
$0.135
Cache read

Available on 7 providers

ProviderProvider model idInput / 1MOutput / 1MContextReleased
Qiniu
qiniu-ai
deepseek-v3-0324UnknownUnknown128K2025-08-05
Meganova
meganova
deepseek-ai/DeepSeek-V3-0324$0.250$0.880164K2025-03-24
NanoGPT
nano-gpt
deepseek-v3-0324$0.200$0.770128K2024-01-01
Jiekou.AI
jiekou
deepseek/deepseek-v3-0324$0.280$1.14164K2026-01
Alibaba (China)
alibaba-cn
siliconflow/deepseek-v3-0324$0.250$1.00164K2024-12-26
submodel
submodel
deepseek-ai/DeepSeek-V3-0324$0.200$0.80075K2025-08-23
NovitaAI
novita-ai
deepseek/deepseek-v3-0324$0.270$1.12164K2025-03-25

Data inconsistencies across providers

  • context_window varies: 128000, 163840, 75000
  • release_date varies (span 731d): 2024-01-01, 2024-12-26, 2025-03-24, 2025-03-25, 2025-08-05, 2025-08-23, 2026-01

Different providers report different values for this model. Quick facts above use the representative provider; consult the table for per-provider truth.

Frequently asked questions

How much does DeepSeek-V3-0324 cost?

DeepSeek-V3-0324 costs $0.200 per 1M input tokens and $0.770 per 1M output tokens, sourced from nano-gpt. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of DeepSeek-V3-0324?

DeepSeek-V3-0324 has a context window of 128K tokens, with a max output of 16K tokens per reply. This is the total combined size of prompt + completion.

Does DeepSeek-V3-0324 support tool calling?

Yes. DeepSeek-V3-0324 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does DeepSeek-V3-0324 support structured output / JSON mode?

No. DeepSeek-V3-0324 does not support structured output / JSON-schema-constrained decoding. If your workflow requires it, look at the /capabilities/structured-output list for alternatives.

Can DeepSeek-V3-0324 accept image input?

No. DeepSeek-V3-0324 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is DeepSeek-V3-0324 open-weight?

No. DeepSeek-V3-0324 is a proprietary model — only DeepSeek (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to DeepSeek-V3-0324?

If DeepSeek-V3-0324 doesn't fit, consider DeepSeek V4 Pro, DeepSeek V4 Flash, DeepSeek-V3.2. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More DeepSeek models

Capability lists this model is in

Last updated:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.