DeepSeek V4 Pro vs GPT-5.4 mini
GPT-5.4 mini is the lower-priced of the two on Router One — about 95% less on a 1M-input + 1M-output mix. DeepSeek V4 Pro offers 1M of context vs 400K for GPT-5.4 mini. DeepSeek V4 Pro answers on /v1/chat/completions, /v1/messages (Claude Code) and /v1/responses (Codex CLI); GPT-5.4 mini on /v1/chat/completions and /v1/responses (Codex CLI).
DeepSeek V4 Pro and GPT-5.4 mini compared on current per-token rates, context window, and capabilities — both callable through one OpenAI-compatible endpoint with per-request cost traces.
DeepSeek V4 Pro vs GPT-5.4 mini: rates, context window, and capabilities
| Spec | DeepSeek V4 Pro | GPT-5.4 mini |
|---|---|---|
| Input / 1M tokens | $2.63 | $0.075 |
| Output / 1M tokens | $5.26 | $0.30 |
| Cached input / 1M tokens | $2.63 | $0.00375 |
| Context window | 1M | 400K |
| Capabilities | Chat, Streaming, Tool calling | Chat, Streaming, Tool calling, Vision |
| Detail page | DeepSeek V4 Pro | GPT-5.4 mini |
What does 1M tokens cost on DeepSeek V4 Pro vs GPT-5.4 mini?
For a workload of 1M input plus 1M output tokens at current rates: DeepSeek V4 Pro comes to $7.89, GPT-5.4 mini comes to $0.375 — GPT-5.4 mini is about 95% cheaper on this mix. Real workloads skew heavily toward input tokens, so weigh the input rate by your own ratio; the cached-input row above is the posted catalog rate for that model.
Switch between DeepSeek V4 Pro and GPT-5.4 mini 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:
curl https://api.router.one/v1/chat/completions \
-H "Authorization: Bearer sk-your-router-one-key" \
-H "Content-Type: application/json" \
-d '{"model": "deepseek-v4-pro", "messages": [{"role": "user", "content": "Hello"}]}'
# Same request, other model — change one string:
# "model": "openai/gpt-5.4-mini"FAQ
Is DeepSeek V4 Pro cheaper than GPT-5.4 mini?
At current posted rates, GPT-5.4 mini is the cheaper of the two (input $2.63 vs $0.075, output $5.26 vs $0.30 per 1M tokens). Rates change; the /models page is the live source of truth.
Can I switch between DeepSeek V4 Pro and GPT-5.4 mini 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. Rates on this page were read from the live catalog on 2026-08-30 (UTC) and refresh within the hour.