Grok 4.7 vs Gemini 3.8 Flash: API Price, Coding, and the 200K Cost Cliff

Grok 4.7 and Gemini 3.8 Flash are both current production models for coding and agent workflows, but their billing curves are very different. Grok emphasizes flagship coding, reasoning, and xAI server-side tools. Gemini offers a 1M context window, broader native input types, and an introductory price through the end of 2026.

For most high-volume workloads, Gemini 3.8 Flash is materially cheaper. Grok 4.7 becomes more interesting when xAI’s coding and agent behavior improves task completion enough to offset the token premium.

Current API Price Comparison

USD per million tokens:

Model	Input	Cached input	Output	Context	Long-context rule
Grok 4.7, prompt below 200K	$2.00	$0.50	$6.00	500K	None
Grok 4.7, prompt at least 200K	$4.00	$1.00	$12.00	500K	All request tokens use long rates
Gemini 3.8 Flash, through Dec 31	$0.75	$0.075	$3.75	1,048,576	No 200K price step
Gemini 3.8 Flash, from Jan 1, 2027	$1.50	$0.15	$7.50	1,048,576	Standard rate

Google also lists 2026 Batch and Flex rates of $0.375/M input, $0.0375/M cached input, and $1.875/M output. Grok 4.7 currently receives no Batch discount. xAI Priority Processing is a separate low-latency tier at 2x standard token rates.

Three Workload Examples

Workload	Grok 4.7	Gemini 3.8 Flash current price
100K input + 20K output	$0.32	$0.15
One 300K-input request + 30K output	$1.56	$0.34
300K cached input + 30K output	$0.66	$0.135 plus cache storage

For the cached Gemini example, storing 300K tokens for one hour adds $0.15 at Google’s current storage rate, bringing that example to $0.285. It remains below Grok’s $0.66.

The second row exposes Grok’s 200K cost cliff. Once the prompt reaches 200K tokens, xAI bills all input, cached input, and output tokens in that request at the long-context rate. Gemini does not have the same threshold, and its context ceiling is more than twice as large.

Grok 4.7 vs Grok 4.6

Grok 4.7 keeps Grok 4.6’s standard input, cached-input, and output prices:

Context tier	Grok 4.6 cache	Grok 4.7 cache	Increase
Below 200K	$0.50	$0.50	0%
At least 200K	$1.00	$1.00	0%

That makes the successor cost-neutral at the unit-token level. Production teams still need regression tests for reasoning-token use, latency, tool behavior, and task completion.

Capability Differences

Area	Grok 4.7	Gemini 3.8 Flash
Native input	Text, image	Text, image, video, audio, PDF
Output	Text; xAI publishes no text-output limit	Text, up to 65,536 tokens
Context	500K	1,048,576
Reasoning control	Configurable	low, medium, high
Built-in tools	Web search, X search, code execution, files/collections	Search, Maps, code execution, file search, URL context, computer use preview
Async discount	No Grok 4.7 Batch discount	Batch and Flex supported

Tool calls can dominate small-token requests. xAI charges $5 per 1,000 Web Search, X Search, or Code Execution calls, $10 per 1,000 file-attachment searches, and $2.50 per 1,000 collection searches. Model token prices do not include those charges.

Which Model Should You Choose?

Choose Grok 4.7 when your evaluation set shows an advantage on difficult code changes, autonomous tool loops, X-grounded research, or high-reasoning tasks. Keep prompts below 200K when possible, and measure cached-token volume.

Choose Gemini 3.8 Flash for high-volume production, large contexts, native audio/video/PDF input, Google grounding, or Batch/Flex traffic. Its introductory rate is scheduled to end after December 31, so model 2027 budgets at $1.50/$7.50 as well.

Bottom Line

Gemini 3.8 Flash wins raw API economics and context capacity. Grok 4.7 is a quality-led purchase: it makes sense when better task completion or xAI-native tools repay the higher token and cache bill. The practical architecture is Gemini for broad throughput and Grok as a measured escalation route.

Official sources checked September 25, 2026: xAI Grok 4.7, xAI pricing, Gemini 3.8 Flash model page, and Gemini pricing.

Use the AI Pricing Calculator and the Grok API pricing guide for additional models.