llm pricing comparison
GPT-4o vs Claude Sonnet Token Cost
GPT-4o vs Claude Sonnet cost is a common shortlist for product copilots and coding agents. This page holds traffic constant so you can see which list-price curve wins before you debate style.
Last checked 2026-08-16
Editorial note
This brief models gpt-4o and claude-sonnet 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.
- Both sit far above DeepSeek on unit price — use them where quality is non-negotiable.
- Watch output-token assumptions; long answers dominate the bill.
- Add a DeepSeek fallback scenario before locking annual contracts.
- Re-run after prompt changes — output length shifts monthly $ fast.
Beyond dollars
Latency, tool-calling reliability, and context window behavior may matter more than a 10–20% token delta. Still, finance teams need a monthly envelope — start here, then qualify.
Prompt packing tip
Large shared system prompts benefit from provider prompt caching. Estimate that upside separately with Prompt Cache Savings rather than baking it into this table.
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
Which is cheaper for short classifications?
Short outputs shrink the gap. Still run the calculator with your exact prompt lengths.
How do I include tool-calling overhead?
Treat each tool round as extra requests with their own prompt/completion sizes.
Is vLLM relevant here?
If you can self-host an open model, compare against the vLLM profile on a separate page.
Which model should I default to?
Default to the one that passes your eval bar at acceptable p95 latency, then optimize cost.
Related comparisons
Go deeper in the full calculator
Add more models, tune prompts, and export CSV for finance reviews.
Open LLM Cost Calculator