DeepSeek V4.1 Flash vs GPT-5.5
GPT-5.5 is the lower-priced of the two on Router One — about 8% less on a 1M-input + 1M-output mix. DeepSeek V4.1 Flash offers 1M of context vs 1.05M for GPT-5.5. DeepSeek V4.1 Flash answers on /v1/chat/completions, /v1/messages (Claude Code) and /v1/responses (Codex CLI); GPT-5.5 on /v1/chat/completions and /v1/responses (Codex CLI).
DeepSeek V4.1 Flash and GPT-5.5 compared on current per-token rates, context window, and capabilities — both callable through one OpenAI-compatible endpoint with per-request cost traces.
DeepSeek V4.1 Flash vs GPT-5.5: rates, context window, and capabilities
| Spec | DeepSeek V4.1 Flash | GPT-5.5 |
|---|---|---|
| Input / 1M tokens | $0.60 | $0.50 |
| Output / 1M tokens | $2.40 | $2.25 |
| Cached input / 1M tokens | $0.012 | $0.125 |
| Context window | 1M | 1.05M |
| Capabilities | Chat, Streaming, Tool calling, Vision | Chat, Streaming, Tool calling, Vision |
| Detail page | DeepSeek V4.1 Flash | GPT-5.5 |
What does 1M tokens cost on DeepSeek V4.1 Flash vs GPT-5.5?
For a workload of 1M input plus 1M output tokens at current rates: DeepSeek V4.1 Flash comes to $3.00, GPT-5.5 comes to $2.75 — GPT-5.5 is about 8% 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 V4.1 Flash and GPT-5.5 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-v4.1-flash", "messages": [{"role": "user", "content": "Hello"}]}'
# Same request, other model — change one string:
# "model": "openai/gpt-5.5"FAQ
Is DeepSeek V4.1 Flash cheaper than GPT-5.5?
Input: DeepSeek V4.1 Flash $0.60 vs GPT-5.5 $0.50 / 1M tokens; GPT-5.5 has the lower rate. Output: DeepSeek V4.1 Flash $2.40 vs GPT-5.5 $2.25 / 1M tokens; GPT-5.5 has the lower rate. Total cost depends on the workload's input, output and cache usage. Rates change; the /models page is the live source of truth.
Can I switch between DeepSeek V4.1 Flash and GPT-5.5 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 2026-09-11 (UTC) and refresh within the hour.