llm pricing comparison
Anthropic vs OpenAI vs DeepSeek Cost
Anthropic vs OpenAI vs DeepSeek cost gives a three-way list-price view for teams that have not narrowed the shortlist. Hold prompts and RPS fixed, then eliminate vendors that fail quality or compliance constraints.
Last checked 2026-08-16
Editorial note
This brief models claude-sonnet and gpt-4o and deepseek-chat on the same workload so finance and engineering can argue from one spreadsheet row. List prices change; the point is relative ordering and sensitivity to output length. Pair the mini calculator below with your own prompt logs, then export a fuller scenario from the LLM Cost Calculator before you commit spend. Updated 2026-08-16.
- DeepSeek Chat usually wins pure price.
- GPT-4o and Claude compete on premium quality lanes.
- Procurement should demand evals alongside unit prices.
- Re-run after prompt changes — output length shifts monthly $ fast.
How to read a three-way table
Sort first by whether the model can do the job, then by monthly $. A third-place price with half the retries can still win total cost of quality.
Next steps
After you shortlist two vendors, open the dedicated head-to-head compare page and export CSV from the full calculator for finance review.
How OmniKit estimates these costs
OmniKit tokenizes representative prompts locally when possible and multiplies by versioned list prices (per million input/output tokens). Traffic is modeled from requests per second and days per month so you can compare vendors on the same workload. Cache write fees, batch multipliers, and enterprise discounts are not assumed unless you set them in the related savings tools.
Use this page for directional planning, then confirm with your provider invoice and a quality eval on your domain. For a full planning path, see the LLM cost planning guide. Last verified against catalog v2026-09-11 (page checked 2026-08-16).
Sources
Vendor list pages can change without notice. OmniKit’s calculator uses a dated catalog; these links are the public originals.
- OpenAI API pricing · checked 2026-09-11
- Anthropic Claude API pricing · checked 2026-09-11
- Google Gemini developer pricing · checked 2026-09-11
- DeepSeek API pricing · checked 2026-09-11
FAQ
How do I present this to executives?
Lead with monthly cost at agreed RPS, then quality eval scores, then risk.
Should discounts be applied?
Yes in the final workbook; this page uses public list rates.
What is the fastest next step?
Run the embedded mini calculator, then open the full tool for CSV export.
Where do Gemini and vLLM fit?
Use the broader LLM pricing comparison and GPU/vLLM TCO tools for those axes.
Related comparisons
Go deeper in the full calculator
Add more models, tune prompts, and export CSV for finance reviews.
Open LLM Cost Calculator