Analysis Summary
DeepSeek V3 0324 stands out among its generation for agentic task performance, backed by tool use and function calling, plus reasonable coding and instruction-following scores. Overall intelligence trails current frontier models but is respectable for its release period.
This makes it a workable option for automation pipelines, structured tool-calling tasks, and moderate coding assistance where budget matters. It is less suited to the most demanding reasoning or long-document analysis compared to newer flagship models.
Moderate pricing and open-weight availability make it a cost-effective choice for agentic automation rather than premium client-facing content.
Assessed July 19, 2026
Editorial notes
DeepSeek V3 0324 delivers strong agentic performance and reasonable coding ability with tool use and function calling at moderate pricing.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V3 0324 delivers strong agentic performance and reasonable coding ability with tool use and function calling at moderate pricing.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
15.4 Intelligence IndexĀ·21.2 Coding IndexĀ·31.1 Agentic IndexĀ·41 Math Index
How DeepSeek: DeepSeek V3 0324 compares
DeepSeek: DeepSeek V3 0324 ranks #180 of 393 AI models we track for overall intelligence, #97 of 157 for coding, #130 of 300 for agentic tasks. Its 164K-token context window is larger than 59% of the models we list. At $0.27 per million input tokens it is cheaper than 46% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.27 | $0.000270 |
| Output | $1.12 | $0.001120 |
What would DeepSeek: DeepSeek V3 0324 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save DeepSeek: DeepSeek V3 0324 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: 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 model and performs really well..
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Frequently asked questions about DeepSeek: DeepSeek V3 0324
How much does DeepSeek: DeepSeek V3 0324 cost?
DeepSeek: DeepSeek V3 0324 costs $0.27 per million input tokens and $1.12 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3 0324?
DeepSeek: DeepSeek V3 0324 has a context window of 163,840 tokens (164K).
Is DeepSeek: DeepSeek V3 0324 good for coding?
On our coding benchmark index, DeepSeek: DeepSeek V3 0324 ranks #97 of 157 models, placing it in the broader range of the field for code generation and debugging.
What can DeepSeek: DeepSeek V3 0324 do?
DeepSeek: DeepSeek V3 0324 supports tool use and function calling.
Who created DeepSeek: DeepSeek V3 0324?
DeepSeek: DeepSeek V3 0324 is developed by DeepSeek and was released on March 24, 2025.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 19, 2026 8:38 pm