DeepSeek: DeepSeek V3
Analysis Summary
DeepSeek V3 is a text-only model released in December 2024, with a 163K context window and support for tools and function calling. Its measured coding capability is stronger than its overall reasoning result, but both the reasoning and agentic measurements remain limited for difficult multi-step work. The context capacity can help with document-heavy tasks, though context size alone does not establish reliable long-document reasoning.
The low listed prices, $0.32 per million input tokens and $0.89 per million output tokens, make it a plausible candidate for routine tool-assisted text processing, extraction, or internal automation. It is less compelling for high-stakes analysis, autonomous coding, or content workflows where fine instruction control is essential. The supplied data does not list vision support.
Use it as a cost-conscious option for bounded tasks with measurable outcomes and review mechanisms. Test tool-call accuracy and answer consistency before expanding its role, and route complex work to a model with stronger measured reasoning and agentic performance.
Assessed September 23, 2026
Editorial notes
DeepSeek V3 offers a 163K context window, tool and function calling, and low listed token prices. Its measured reasoning and coding results are limited, making it more suitable for routine automation than demanding analysis.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
DeepSeek V3 offers a 163K context window, tool and function calling, and low listed token prices. Its measured reasoning and coding results are limited, making it more suitable for routine automation than demanding analysis.
Benchmarks
Artificial Analysis data refreshed Oct 24, 2026. Arena ratings from the Oct 20, 2026 text leaderboard, with style control.
How DeepSeek: DeepSeek V3 compares
DeepSeek: DeepSeek V3 ranks #269 of 443 AI models we track for overall intelligence, #126 of 198 for coding, #166 of 181 for agentic tasks. Its 164K-token context window is larger than 51% of the models we list. At $0.26 per million input tokens it is cheaper than 45% 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.
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 718 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 #126 of 198 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.