Content updated: 2026-07-31
ChatGPT vs DeepSeek Pricing
Selection framework
This guide focuses on a cost-checking method: estimate spend from real usage, then cross-check official documentation and migration risk—rather than publishing a price ranking that quickly goes stale.
What to evaluate
- Estimate cost from your own inputs, outputs, retries, and peak traffic rather than a headline price alone.
- Check API documentation, rate limits, data-handling terms, and migration cost.
- Track quality, latency, failures, and actual spend before production rollout.
Validate the same task with ModelAny
Send one prompt for a real task that matches your use case to ChatGPT, DeepSeek (and any other services you select), then compare factual accuracy, actionability, and how much editing each result needs. ModelAny only opens and fills the selected services; each provider remains responsible for its answers, plans, and data terms.
- Write down success criteria such as verifiability, editing time, and privacy requirements.
- Compare available models with the same input so prompt differences do not distort the result.
- Record the output, human edits, and failures before choosing a long-term workflow.
What public benchmarks show
Below are results only from public benchmark categories where every model on this page appears together. Scores from different sources cannot be added up, and they do not prove one model is best overall.
Arena · coding preference
Arena asks people to pick the better answer without knowing which model wrote it. A higher Elo means more preference votes in that category—not an overall product ranking.
| Product | Exact model version | Rank | Score | Metric |
|---|---|---|---|---|
| ChatGPT | gpt-5.6-sol-xhigh (codex-harness) | 5 | 1620 | Elo (Elo) |
| DeepSeek | deepseek-v4-flash-high | 7 | 1577 | Elo (Elo) |
SWE-bench Verified · real software-issue fixing
SWE-bench Verified measures how often an AI coding setup can fix real GitHub issues. A higher resolved percentage means more issues were fixed in that specific test setup.
| Product | Exact model version | Rank | Score | Metric |
|---|---|---|---|---|
| ChatGPT | JoyCode + Claude 4 Sonnet + GPT-4.1 | 17 | 74.6% | Resolved (%) |
| DeepSeek | mini-SWE-agent + DeepSeek V3.2 (high reasoning) | 46 | 70% | Resolved (%) |
Official sources and verification date
The links below are official sources for product identity and plan information, last checked 2026-07-19. Pricing, model availability, quotas, and regional access can change; confirm on the provider site before purchasing or deploying.
- OpenAI ChatGPT plans and pricing - 2026-07-19
- DeepSeek API models and pricing - 2026-07-19
Frequently asked questions
Does this page publish an absolute ranking?
No. We compare models only where they share the same public test conditions, and we link to the original sources so you can verify. We don't publish a “best overall” list outside a stated context.
Are pricing and plan details definitive?
This page links to official sources and verification dates. Confirm the price and terms shown for your region on the provider site before purchasing or deploying.
Does ModelAny store prompts?
ModelAny is local-first: drafts, settings, and history stay in your browser. Prompts are sent only to the AI services you choose and are not uploaded to ModelAny servers.
Compare multiple models with one prompt
ModelAny is a free, open-source browser extension available on the Chrome Web Store and Microsoft Edge Add-ons. Drafts, settings, and history remain in your browser.
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