# Gemini 3 Pro vs DeepSeek V4 Pro

> Markdown mirror of https://router.one/models/compare/gemini-3-pro-vs-deepseek-v4-pro for AI assistants and crawlers. Router One is an OpenAI-compatible LLM API gateway.

Gemini 3 Pro and DeepSeek V4 Pro compared on current per-token rates, context window, and capabilities — both callable through one OpenAI-compatible endpoint with per-request cost traces.

## Gemini 3 Pro vs DeepSeek V4 Pro: rates, context window, and capabilities

| Spec | Gemini 3 Pro | DeepSeek V4 Pro |
| --- | --- | --- |
| Input / 1M tokens | $0.88 | $1.31 |
| Output / 1M tokens | $7.00 | $2.63 |
| Cached input / 1M tokens | $0.88 | $1.31 |
| Context window | 1.0M | 1.0M |
| Capabilities | Chat, Streaming, Tool calling, Vision | Chat, Streaming, Tool calling |
| Detail page | [Gemini 3 Pro](https://router.one/models/gemini-3-pro-preview-11-2025) | [DeepSeek V4 Pro](https://router.one/models/deepseek-v4-pro) |

## What does 1M tokens cost on Gemini 3 Pro vs DeepSeek V4 Pro?

For a workload of 1M input plus 1M output tokens at current rates: Gemini 3 Pro comes to $7.88, DeepSeek V4 Pro comes to $3.94 — DeepSeek V4 Pro is about 50% cheaper on this mix. Real workloads skew heavily toward input tokens, so weigh the input rate by your own ratio; prompt-cache hits bill at the cached-input rate where supported.

## Switch between Gemini 3 Pro and DeepSeek V4 Pro without changing code

Both models are behind the same OpenAI-compatible endpoint, so an A/B test is a one-string change — same key, same code, and every request traced with tokens, cost, and latency in the dashboard:

`compare.sh`

```bash
curl https://api.router.one/v1/chat/completions \
  -H "Authorization: Bearer sk-your-router-one-key" \
  -H "Content-Type: application/json" \
  -d '{"model": "google/gemini-3-pro-preview-11-2025", "messages": [{"role": "user", "content": "Hello"}]}'

# Same request, other model — change one string:
#   "model": "deepseek-v4-pro"
```

## FAQ

### Is Gemini 3 Pro cheaper than DeepSeek V4 Pro?

At current posted rates, DeepSeek V4 Pro is the cheaper of the two (input $0.88 vs $1.31, output $7.00 vs $2.63 per 1M tokens). Rates change; the /models page is the live source of truth.

### Can I switch between Gemini 3 Pro and DeepSeek V4 Pro without changing code?

Yes. Both are served through the same OpenAI-compatible endpoint, so switching is changing the model string in the request — the key, base URL, and request shape stay identical.

### Where do these numbers come from?

Specs and prices on this page render from the live Router One catalog — the same data as the /models page — and refresh with it. Pricing methodology is documented on /pricing-methodology.

## More comparisons

- [Claude Sonnet 5 vs Gemini 3 Pro](https://router.one/models/compare/claude-sonnet-5-vs-gemini-3-pro)
- [GPT-5.4 vs Gemini 3 Pro](https://router.one/models/compare/gpt-5-4-vs-gemini-3-pro)
- [DeepSeek V4 Pro vs GPT-5.4 mini](https://router.one/models/compare/deepseek-v4-pro-vs-gpt-5-4-mini)
- [Kimi K2.5 vs DeepSeek V4 Pro](https://router.one/models/compare/kimi-k2-5-vs-deepseek-v4-pro)

All model comparisons: https://router.one/models/compare

## See also

- Canonical page: https://router.one/models/compare/gemini-3-pro-vs-deepseek-v4-pro
- All models & prices: https://router.one/models (markdown: https://router.one/models.md)
- Pricing: https://router.one/pricing