DeepSeek V3 0324

by DeepSeekdeepseek/deepseek-chat-v3-0324

  • Text
  • No route yet
  • Released
  • Knowledge cutoff 31 July 2024

LLMCompare cannot run DeepSeek V3 0324 yet.No route to this model is configured on this site yet. Its prices and parameters are listed below for reference.

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DeepSeek V3 0324 at a glance

Context length
163,840 tokens
Maximum output
115,200 tokens
Accepts
Text
Returns
Text
Features
JSON outputTool callingPrompt caching
Reasoning effort levels
Not supported
Released
24 Mar 2025
Knowledge cutoff
31 July 2024

Model facts synced from the OpenRouter model list on 21 Oct 2026.

DeepSeek V3 0324 pricing by route

A route is the service LLMCompare calls to reach the model. DeepSeek V3 0324 has 1 route. Prices are in US dollars.

Prices of DeepSeek V3 0324 on each route
RouteOn LLMCompareInputper 1M tokensOutputper 1M tokensCache readper 1M tokensPrice verified onSource
OpenRouterDefaultNot configured$0.29$1.14$0.11openrouter.ai/deepseek/deepseek-chat-v3-0324

The cost shown in an LLMCompare report is calculated from these prices as they were at the time of the run.

Cost calculator

Estimate what a batch of calls to DeepSeek V3 0324 costs. The starting numbers are examples. Change them to match your task.

Part of the input tokens above, billed at the cache read price.

Cost per call
$0.00086
2 credits
Cost of 100 calls
$0.086
200 credits

Calculated from the OpenRouter prices verified on 21 Oct 2026. Credits are the cost plus a 20% service fee, at $0.001 per credit, rounded up for each call, with a minimum of 1 per call. A real run is charged for the usage the provider reports.

Parameters you can set

These are the parameters LLMCompare can set when it calls the model through OpenRouter.

Parameters of DeepSeek V3 0324
ParameterTypeRange or optionsDefault
temperatureNumber0 to 2in steps of 0.1Provider default
top_pNumber0 to 1in steps of 0.05Provider default
max_tokensInteger1 to 115,200Provider default
seedInteger-2,147,483,648 to 4,294,967,295Provider default
response_formatOne oftextjson_objectProvider default

About DeepSeek V3 0324

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...

Description as published for this model. LLMCompare has not edited it.

Models to compare with DeepSeek V3 0324

Text models from the same provider and models at the nearest price. The order is not a ranking.

Models to compare with DeepSeek V3 0324
Add to comparisonModelContextMax outputInput priceper 1M tokensOutput priceper 1M tokensFeaturesReleasedOn LLMCompare
DeepSeek V3DeepSeekdeepseek/deepseek-chat164k16k$0.2574$1.03JSONToolsNo route yet
DeepSeek V3.1 TerminusDeepSeekdeepseek/deepseek-v3.1-terminus164k147k$0.27$1.00JSONToolsNo route yet
DeepSeek V4 Pro 0423DeepSeekdeepseek/deepseek-v4-pro1.05M384k$0.4225$0.8449ReasoningJSONToolsCacheNo route yet
GPT-5.4 NanoOpenAIopenai/gpt-5.4-nano400k128k$0.20$1.25ReasoningJSONToolsCacheVisionNo route yet
GPT-5.6 Luna ProOpenAIopenai/gpt-5.6-luna-pro1.05M128k$0.20$1.20ReasoningJSONToolsCacheVisionNo route yet
GPT-5.6 LunaOpenAIopenai/gpt-5.6-luna1.05M128k$0.20$1.20ReasoningJSONToolsCacheVisionNo route yet

Questions about DeepSeek V3 0324

How much does DeepSeek V3 0324 cost?
On the OpenRouter route, DeepSeek V3 0324 costs $0.29 per 1 million input tokens and $1.14 per 1 million output tokens, in US dollars. Input tokens that DeepSeek V3 0324 reads from the prompt cache cost $0.11 per 1 million tokens. LLMCompare verified this price on 21 Oct 2026.
What is the context length of DeepSeek V3 0324?
DeepSeek V3 0324 has a context length of 163,840 tokens and returns up to 115,200 output tokens in one call.
What inputs does DeepSeek V3 0324 accept?
DeepSeek V3 0324 accepts these inputs: Text. DeepSeek V3 0324 returns: Text.
Can I test DeepSeek V3 0324 on my own data?
Not yet. LLMCompare lists the prices and parameters of DeepSeek V3 0324, but no route to DeepSeek V3 0324 is configured on LLMCompare, so it cannot be selected for an evaluation.