--- title: "Google: Gemini 3.7 Flash — price, capability and what beats it · Undominated.ai" canonical: https://undominated.ai/models/google__gemini-3.7-flash/ description: "Google: Gemini 3.7 Flash: $1.50/M in, $7.50/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements." --- # Google: Gemini 3.7 Flash — price, capability and what beats it · Undominated.ai > Google: Gemini 3.7 Flash: $1.50/M in, $7.50/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements. [Check base rates for this workload](/check/google__gemini-3.7-flash/) [Cheaper alternatives](/alternatives/google__gemini-3.7-flash/) [Family](/families/gemini-3/) [Compare models](https://undominated.ai/compare/?models=google%2Fgemini-3.7-flash) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # Gemini 3.7 Flash Google · 13 Aug 2026 · proprietary Balanced Summarise Chat Code gen Agentic BETTER VALUE OPTION ## A stored alternative has an equal-or-higher measured score and an equal-or-lower price. **$3.00** / 1M tokens Balanced · 3 tokens in per 1 out Reasoning tokens are billed separately. [Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) · Δ score 10 points · same measured price · $3.00 / 1M tokens [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) is a further stored option with these losses: no file input Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) [Vendor cross-check](https://ai.google.dev/gemini-api/docs/pricing) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,487 ± 5.15 · 21,539 votes Context window 1.05M Maximum output 65.54K Input modalities text, image, video, file, audio Output modalities text Published input price $1.50 / 1M tokens Published output price $7.50 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from Google: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate. Cheaper right now: $0.750 in · $3.75 out per million tokens at Google, a promotion of 50%. The price on this page is Google’s standard rate: the ranking uses the standard rate, never a promotion. Every price dimension · USD per million tokens | Input | $1.50 /M | | --- | --- | | Output | $7.50 /M | | Cached input | $0.150 /M | | Cache write | $0.083 /M | | Cache write 1h | Unknown /M | | Reasoning | $7.50 /M | | Web search | $0.014 /call | **Reasoning tokens are billed separately** at $7.50/M, on top of output. Its share of your bill depends on the reasoning tokens used. ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. 6 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller Google google-vertex/global/flex Endpoint terms Cached input /M $0.038 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount 50% · already included in these rates Uptime · last 30 minutes 82.35% | Input $0.375 | Output $1.88 | Precision undeclared | Uptime (1d) 99.06% | | Seller Google AI Studio google-ai-studio/flex Endpoint terms Cached input /M $0.038 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount 50% · already included in these rates Uptime · last 30 minutes 99.94% | Input $0.375 | Output $1.88 | Precision undeclared | Uptime (1d) 99.94% | | Seller Google AI Studio google-ai-studio Endpoint terms Cached input /M $0.075 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount 50% · already included in these rates Uptime · last 30 minutes 99.88% | Input $0.750 | Output $3.75 | Precision undeclared | Uptime (1d) 99.86% | | Seller Google google-vertex/global Endpoint terms Cached input /M $0.075 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount 50% · already included in these rates Uptime · last 30 minutes 98.75% | Input $0.750 | Output $3.75 | Precision undeclared | Uptime (1d) 99.11% | | Seller Google google-vertex/global/priority Endpoint terms Cached input /M $0.135 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount 50% · already included in these rates Uptime · last 30 minutes 100.00% | Input $1.35 | Output $6.75 | Precision undeclared | Uptime (1d) 99.62% | | Seller Google AI Studio google-ai-studio/priority Endpoint terms Cached input /M $0.135 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount 50% · already included in these rates Uptime · last 30 minutes 100.00% | Input $1.35 | Output $6.75 | Precision undeclared | Uptime (1d) 99.99% | ### Independent scores | LMArena Elo | 1487 high | | --- | --- | LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero. #### Best rankings by task - Agenticgamedev #5 1235 - Native Android apps #6 1255 - Godot games #6 1264 - Game development #7 1334 - ASCII art #7 1289 - Websites #8 1311 - Mobile apps #8 1227 - Data visualisation #9 1327 Per-task Elo and rank from [Design Arena](https://designarena.ai), via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list. ### Capability | Context window | 1M | | --- | --- | | Max output | 65K | | Input modes | text, image, video, file, audio | | Tool use | yes | | Reasoning | always on | | Open weights | no | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | verified | | Cross-checked | [vendor page](https://ai.google.dev/gemini-api/docs/pricing) | ## Our take editorial — not a measurement Evaluate Flash for recurring multimodal work, using the current proof to judge measured capability. The retained pricing source describes promotional terms, so confirm the dated vendor schedule before committing to a long-term budget. Standard and batch delivery are distinct offers; do not substitute a batch rate into a synchronous workload. ### Strengths - Audio, video, image, file and text input are listed - Cache and batch pricing can be compared separately ### Weaknesses - A promotional rate is not evidence of a permanent future price - Cache storage terms need checking alongside token rates ### Reach for it when - Multimodal production evaluations - Workflows that can compare standard and delayed delivery ### Avoid it if - Your forecast assumes unchanged promotional terms - You have not established the required delivery mode Sources: [ai.google.dev](https://ai.google.dev/gemini-api/docs/pricing) Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step... ## Questions this page answers What does Gemini 3.7 Flash cost? $1.50/M in, $7.50/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Gemini 3.7 Flash have an independent quality score? Gemini 3.7 Flash has an LMArena score in this catalogue. What beats Gemini 3.7 Flash? Gemini 3.8 Flash has an equal-or-higher measured score and an equal-or-lower price. Does this page use Artificial Analysis scores for Gemini 3.7 Flash? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options Google: Gemini 3.7 Flash. Balanced workload. Better value option available. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related - Both better and cheaper [Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) - Higher score and cheaper, with a named trade [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) - Side by side [Gemini 3.8 Flash](/compare/google__gemini-3.7-flash--vs--google__gemini-3.8-flash/) - Nearby on the capability axis [Claude Opus 4.7](/models/anthropic__claude-opus-4.7/) - Same vendor [Gemini 3.1 Pro Preview](/models/google__gemini-3.1-pro-preview/) - Google models [Google](/providers/google/) - Where this model appears [wire](/wire/) - Side by side [Claude Opus 5](/compare/anthropic__claude-opus-5--vs--google__gemini-3.7-flash/) - Nearby on the capability axis [Muse Spark 1.2](/models/meta__muse-spark-1.2/) - Same vendor [Gemini 3.6 Flash](/models/google__gemini-3.6-flash/) - Where this model appears [effort](/effort/) - Side by side [GPT-5.6 Sol](/compare/google__gemini-3.7-flash--vs--openai__gpt-5.6-sol/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![Gemini 3.7 Flash — Undominated.ai dominance verdict](https://undominated.ai/badge/google__gemini-3.7-flash.svg)](https://undominated.ai/models/google__gemini-3.7-flash/) HTML Copy Gemini 3.7 Flash — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/google__gemini-3.7-flash.svg](https://undominated.ai/badge/google__gemini-3.7-flash.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)