DeepSeek: DeepSeek V3
Analysis Summary
DeepSeek V3 is an economical text model with a 163K context window, tool use, and function calling. Its coding capability is stronger than its general reasoning result, and the context capacity supports substantial technical documents, repositories, and structured prompts. Listed pricing is low enough for experimentation and routine production traffic.
It suits code assistance, technical content transformation, document processing, and applications that connect model responses to external functions. The measured agentic result is weak, so teams should avoid relying on it for long autonomous loops or unmonitored tool decisions. It is better used inside bounded workflows with validation and clear stopping conditions. Adopt it where coding and cost efficiency matter, while routing difficult reasoning and high-risk client decisions to a stronger model.
Assessed August 9, 2026
Editorial notes
DeepSeek V3 offers low-cost coding, a 163K context window, tool use, and function calling, making it useful for technical automation, though weak measured agentic performance limits autonomous workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V3 offers low-cost coding, a 163K context window, tool use, and function calling, making it useful for technical automation, though weak measured agentic performance limits autonomous workflows.
How DeepSeek: DeepSeek V3 compares
DeepSeek: DeepSeek V3 ranks #220 of 420 AI models we track for overall intelligence, #123 of 193 for coding, #154 of 175 for agentic tasks. Its 164K-token context window is larger than 53% of the models we list. At $0.26 per million input tokens it is cheaper than 49% 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 | $0.26 | $0.000257 |
| Output | $1.03 | $0.001029 |
What would DeepSeek: DeepSeek V3 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 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save DeepSeek: DeepSeek V3 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout DeepSeek: DeepSeek V3
DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations..
Frequently asked questions about DeepSeek: DeepSeek V3
How much does DeepSeek: DeepSeek V3 cost?
DeepSeek: DeepSeek V3 costs $0.26 per million input tokens and $1.03 per million output tokens.
What is the context window of DeepSeek: DeepSeek V3?
DeepSeek: DeepSeek V3 has a context window of 163,840 tokens (164K).
Is DeepSeek: DeepSeek V3 good for coding?
On our coding benchmark index, DeepSeek: DeepSeek V3 ranks #123 of 193 models, placing it in the broader range of the field for code generation and debugging.
What can DeepSeek: DeepSeek V3 do?
DeepSeek: DeepSeek V3 supports tool use and function calling.
Who created DeepSeek: DeepSeek V3?
DeepSeek: DeepSeek V3 is developed by DeepSeek and was released on December 26, 2024.
