--- title: "Google: Gemini 3.5 Flash — price, capability and what beats it · Undominated.ai" canonical: https://undominated.ai/models/google__gemini-3.5-flash/ description: "Google: Gemini 3.5 Flash: $1.50/M in, $9.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements." --- # Google: Gemini 3.5 Flash — price, capability and what beats it · Undominated.ai > Google: Gemini 3.5 Flash: $1.50/M in, $9.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements. [Check base rates for this workload](/check/google__gemini-3.5-flash/) [Cheaper alternatives](/alternatives/google__gemini-3.5-flash/) [Family](/families/gemini-3/) [Compare models](https://undominated.ai/compare/?models=google%2Fgemini-3.5-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 3.5 Flash Google · 19 May 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. **$3.38** / 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 19.3 points · 11% lower 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 1,477.7 ± 4.13 · 47,187 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 $9.00 / 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: $1.69/M at Google — delivery tier (flex) It does not pass the like-for-like test, so it never sets a rank. Every price dimension · USD per million tokens | Input | $1.50 /M | | --- | --- | | Output | $9.00 /M | | Cached input | $0.150 /M | | Cache write | $0.083 /M | | Cache write 1h | Unknown /M | | Reasoning | $9.00 /M | | Web search | $0.014 /call | | Batch discount | 50% | **Reasoning tokens are billed separately** at $9.00/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. 7 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 $0.075 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $0.750 | Output $4.50 | Precision undeclared | Uptime (1d) 98.68% | | Seller Google AI Studio google-ai-studio/flex 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 None reported Uptime · last 30 minutes Unknown | Input $0.750 | Output $4.50 | Precision undeclared | Uptime (1d) 99.96% | | Seller Google google-vertex/global Endpoint terms Cached input /M $0.150 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.65% | Input $1.50 | Output $9.00 | Precision undeclared | Uptime (1d) 98.86% | | Seller Google AI Studio google-ai-studio Endpoint terms Cached input /M $0.150 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.91% | Input $1.50 | Output $9.00 | Precision undeclared | Uptime (1d) 99.88% | | Seller Google google-vertex/us Endpoint terms Cached input /M $0.165 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $1.65 | Output $9.90 | Precision undeclared | Uptime (1d) — | | Seller Google google-vertex/global/priority Endpoint terms Cached input /M $0.270 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $2.70 | Output $16.20 | Precision undeclared | Uptime (1d) 99.86% | | Seller Google AI Studio google-ai-studio/priority Endpoint terms Cached input /M $0.270 Context limit 1,048,576 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $2.70 | Output $16.20 | Precision undeclared | Uptime (1d) 99.93% | ### Independent scores | LMArena Elo | 1477.7 medium | | --- | --- | LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero. #### Best rankings by task - Agenticslides(python pptx) #2 1242 - Pptxslides #2 1244 - Agenticslides #3 1244 - Agentichtmlslides #6 1162 - Agenticslides(html) #6 1162 - Python pptxslides #9 1247 - Agenticgamedev #12 1180 - SVG #13 1254 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 | | Knowledge cutoff | 2025-01-01 | | 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) | Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution... ## Questions this page answers What does Gemini 3.5 Flash cost? $1.50/M in, $9.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Gemini 3.5 Flash have an independent quality score? Gemini 3.5 Flash has an LMArena score in this catalogue. What beats Gemini 3.5 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 3.5 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 3.5 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/) - Nearby on the capability axis [Muse Spark 1.1](/models/meta__muse-spark-1.1/) - Same vendor [Gemini 3.1 Pro Preview](/models/google__gemini-3.1-pro-preview/) - Google models [Google](/providers/google/) - Where this model appears [disagreement](/disagreement/) - Nearby on the capability axis [Kimi K3](/models/moonshotai__kimi-k3/) - Same vendor [Gemini 3.7 Flash](/models/google__gemini-3.7-flash/) - Where this model appears [effort](/effort/) - Nearby on the capability axis [Gemini 3.6 Flash](/models/google__gemini-3.6-flash/) - Same vendor [Gemini 2.5 Pro](/models/google__gemini-2.5-pro/) - Where this model appears [traps](/traps/) ## 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 3.5 Flash — Undominated.ai dominance verdict](https://undominated.ai/badge/google__gemini-3.5-flash.svg)](https://undominated.ai/models/google__gemini-3.5-flash/) HTML Copy Gemini 3.5 Flash — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/google__gemini-3.5-flash.svg](https://undominated.ai/badge/google__gemini-3.5-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/)