Analysis Summary
DeepSeek V3 0324 is a cost-focused general model with a 164K context window and explicit tool and function-calling support. Its reasoning measurements are stronger than the surrounding budget models, and its coding results are useful for routine development, scripting, and structured technical work. Pricing remains low enough for substantial production volume.
The model is a good fit for SEO drafting, content transformation, code assistance, data extraction, and tool-connected workflows that have clear guardrails. It is less suitable for autonomous agents that must recover from complex failures, or for high-stakes client-facing analysis where consistency is paramount. Design for Online could use it as a value routing layer, with a stronger model reserved for difficult escalations.
Assessed September 7, 2026
Editorial notes
DeepSeek V3 0324 offers strong value, a 164K context, tool and function calling, and better coding and reasoning than most budget models in this batch. Its agentic reliability and long-term production maturity are more limited than newer flagships.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V3 0324 offers strong value, a 164K context, tool and function calling, and better coding and reasoning than most budget models in this batch. Its agentic reliability and long-term production maturity are more limited than newer flagships.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
9.2 Intelligence Index·21.2 Coding Index·0.8 Agentic Index·41 Math Index
How DeepSeek: DeepSeek V3 0324 compares
DeepSeek: DeepSeek V3 0324 ranks #238 of 435 AI models we track for overall intelligence, #144 of 208 for coding, #176 of 190 for agentic tasks. Its 164K-token context window is larger than 50% of the models we list. At $0.25 per million input tokens it is cheaper than 52% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.25 | $0.000250 |
| Output | $1.00 | $0.001000 |
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 756 models → 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 $0.25 per million input tokens and $1.00 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 #144 of 208 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: September 7, 2026 8:38 pm