Grok 4.7 vs Gemini 3.8 Flash

Grok 4.7 vs Gemini 3.8 Flash: rates, context window, and capabilities

grok-4.7: request input ≤ 200,000 tokens: Input $1.10 / 1M tokens, Output $3.30 / 1M tokens, Cache write $1.10 / 1M tokens, Cached input $0.275 / 1M tokens; request input > 200,000 tokens: Input $2.20 / 1M tokens, Output $6.60 / 1M tokens, Cache write $2.20 / 1M tokens, Cached input $0.55 / 1M tokens. The total input tokens in each request select the tier; its rates apply to the whole request, not only tokens above the threshold.

What does 1M tokens cost on Grok 4.7 vs Gemini 3.8 Flash?

The listed rates and 1M-input + 1M-output workload example use base tiers, assuming every request meets: grok-4.7: request input ≤ 200,000 tokens. Requests above a threshold use the long-context rates below. For a workload of 1M input plus 1M output tokens at current rates: Grok 4.7 comes to $4.40, Gemini 3.8 Flash comes to $1.35 — Gemini 3.8 Flash is about 69% 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 Grok 4.7 and Gemini 3.8 Flash 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": "grok-4.7", "messages": [{"role": "user", "content": "Hello"}]}'

# Same request, other model — change one string:
#   "model": "google/gemini-3.8-flash"

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