Gemini 3.8 Flash pricing and benchmarks
Google’s newest Flash model, with thinking, tool use and a 1M-token context window.
Input
$0.75
per 1M tokens
Cached input
$0.075
per 1M tokens
Output
$3.75
per 1M tokens
Capability index
156.5
#6 of 16 tracked
How capable is Gemini 3.8 Flash?
Gemini 3.8 Flash scores 156.5 on the Epoch Capabilities Index (confidence interval 154.6–162.0), ranking #6 of the 16 rated models we track. It is a best-value pick: no cheaper model we track scores higher.
| Benchmark | Tests | Score |
|---|---|---|
| GPQA Diamond | Science reasoning | 93.9% |
| FrontierMath (Tiers 1–3) | Advanced math | 68.4% |
| SimpleQA Verified | Factual accuracy | 69.7% |
| ARC-AGI-2 | Abstract reasoning | — |
| DeepSWE | Coding | 73.8% |
| APEX-Agents | Agentic work | — |
Source: Epoch AI (as “Gemini 3.8 Flash”), best recorded result, CC BY 4.0. A dash means no published score. Compare all models
What Gemini 3.8 Flash costs in practice
| Workload | Monthly cost |
|---|---|
Support chatbot 100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each. | $262.50 |
Document Q&A (RAG) 50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each. | $412.50 |
Coding agent 10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens. | $186.00 |
Pricing details
- Introductory price through December 31, 2026. From January 1, 2027: $1.50 input, $0.15 cached, $7.50 output per 1M tokens.
- Output price includes thinking tokens.
- Priority inference costs 1.8x the standard rate.
Estimate your Gemini 3.8 Flash bill
- Gemini 3.8 FlashGoogle$412.50/mo$0.0083 / request
Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.