Model
Gemini 3.7 Flash
High-efficiency Gemini model for agentic workflows, coding, and multimodal reasoning
Compare providers (sorted by listed input price)
22 of 23 providers publish a price for Gemini 3.7 Flash. The cheapest full-context option is Cortecs at $0.75/$3.75 per M — 2% below Vertex's own price. Listed prices span 2.0× for identical weights.
Best price history
Daily lowest published price across live providers. A lower line is better for the buyer.
- Best input /M
- $0.75▲ 100.0%
- Best output /M
- $3.75▲ 100.0%
- Provider coverage
- 29
- 25 at the start · 24 snapshots
Price badge
https://www.vaanalytics.in/badge/google/gemini-3.7-flash.svgLive SVG, regenerated on every hourly sync — paste it into a README to always show the current cheapest listed price. Updates when prices change; no build step needed on your side.
Recent changes
Changelog →- new modelvia 302ai · Sep 9, 2026
- repricedvia nano-gpt · Sep 9, 2026
- cache_write: $0.075 → $0.042
- capabilityvia edenai · Sep 7, 2026
- name: Gemini 3.7 Flash (US) → Gemini 3.7 Flash (Vertex AI, US)
- capabilityvia edenai · Sep 7, 2026
- name: Gemini 3.7 Flash → Gemini 3.7 Flash (Vertex AI)
- capabilityvia edenai · Sep 7, 2026
- name: Gemini 3.7 Flash (EU) → Gemini 3.7 Flash (Vertex AI, EU)
- repricedvia nano-gpt · Sep 2, 2026
- input: $0.375 → $0.75
- output: $1.88 → $3.75
- cache_read: $0.037 → $0.075
- cache_write: $0.021 → $0.075
Benchmarks
- FrontierCode(score)report ↗Unclassified source43.6
- DeepSWE(resolve rate)report ↗Unclassified source65.3
- Terminal-Bench ↗(accuracy)report ↗Unclassified source85.8
- AutomationBench(accuracy)report ↗Unclassified source30.4
- GDP.pdf(accuracy)report ↗Unclassified source34
- GDM-MRCR(accuracy)report ↗Unclassified source97
Scores a lab published about its own model are claims, not measurements. Rankings elsewhere on this site use independently measured scores only.
Prices are per million tokens (USD). “—” means the provider does not publicly list a price for this model. Data from models.dev; verify with the provider before purchasing.