DeepSeek: DeepSeek V3
Analysis Summary
DeepSeek V3 is a low-cost text model with a 163K context window, tool use, and function calling. Its pricing supports high-volume API workloads, while the large context can accommodate long briefs, structured records, and substantial documentation without aggressive chunking.
The model is a practical fit for extraction, summarisation, routing, and simple tool-driven workflows where cost control is central. Its supplied reasoning, coding, and agentic results are below the level expected for difficult software engineering or autonomous multi-step work. It also lacks vision, so image-based client workflows would require a separate model.
Use DeepSeek V3 as a volume and utility layer, especially for text-heavy automation. Keep a stronger model available for complex reasoning, code changes, and high-stakes client output.
Assessed September 7, 2026
Editorial notes
DeepSeek V3 pairs very low pricing with a 163K context window and documented tool and function calling, making it useful for economical automation, though its measured reasoning and coding capability is limited.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
DeepSeek V3 pairs very low pricing with a 163K context window and documented tool and function calling, making it useful for economical automation, though its measured reasoning and coding capability is limited.
How DeepSeek: DeepSeek V3 compares
DeepSeek: DeepSeek V3 ranks #271 of 438 AI models we track for overall intelligence, #138 of 210 for coding, #178 of 192 for agentic tasks. Its 164K-token context window is larger than 49% of the models we list. At $0.32 per million input tokens it is cheaper than 43% 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 intelligence 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 | $0.32 | $0.000320 |
| Output | $0.89 | $0.000890 |
What would DeepSeek: DeepSeek V3 cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 776 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 $0.32 per million input tokens and $0.89 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 #138 of 210 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.