--- title: "Google: Gemini 3.1 Pro Preview — price, capability and what beats it · Undominated.ai" canonical: https://undominated.ai/models/google__gemini-3.1-pro-preview/ description: "Google: Gemini 3.1 Pro Preview: $2.00/M in, $12.00/M out. Independent capability scores, context-tier pricing, and alternatives compared under recorded workload and capability requirements." --- # Google: Gemini 3.1 Pro Preview — price, capability and what beats it · Undominated.ai > Google: Gemini 3.1 Pro Preview: $2.00/M in, $12.00/M out. Independent capability scores, context-tier pricing, and alternatives compared under recorded workload and capability requirements. [Check base rates for this workload](/check/google__gemini-3.1-pro-preview/) [Cheaper alternatives](/alternatives/google__gemini-3.1-pro-preview/) [Family](/families/gemini-3/) [Compare models](https://undominated.ai/compare/?models=google%2Fgemini-3.1-pro-preview) 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 3.1 Pro Preview Google · 19 Feb 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. **$4.50** / 1M tokens Balanced · 3 tokens in per 1 out Base context tier shown; inspect the complete context ladder below. · Reasoning tokens are billed separately. [Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) · Δ score 16.8 points · 33% 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 1,480.2 ± 3 · 121,806 votes Context window 1.05M Maximum output 65.54K Input modalities audio, file, image, text, video Output modalities text Published input price $2.00 / 1M tokens Published output price $12.00 / 1M tokens Pricing kind fixed Context tiers Tiered by context 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: $2.25/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 | $2.00 /M | | --- | --- | | Output | $12.00 /M | | Cached input | $0.200 /M | | Cache write | $0.375 /M | | Cache write 1h | Unknown /M | | Reasoning | $12.00 /M | | Web search | $0.014 /call | | Batch discount | 50% | **The headline rate does not apply to a long-context workload.** Complete context ladder · 1 tier | More than 200,000 tokens | $4.00 /M in (2×) $18.00 /M out $0.400 /M cached input $0.375 /M cache write | | --- | --- | **Reasoning tokens are billed separately** at $12.00/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. 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 $0.100 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 95.65% | Input $1.00 | Output $6.00 | Precision undeclared | Uptime (1d) 94.67% | | Seller Google AI Studio google-ai-studio/flex Endpoint terms Cached input /M $0.100 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 $1.00 | Output $6.00 | Precision undeclared | Uptime (1d) 99.93% | | Seller Google google-vertex/global Endpoint terms Cached input /M $0.200 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 97.95% | Input $2.00 | Output $12.00 | Precision undeclared | Uptime (1d) 98.57% | | Seller Google AI Studio google-ai-studio Endpoint terms Cached input /M $0.200 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 99.40% | Input $2.00 | Output $12.00 | Precision undeclared | Uptime (1d) 99.79% | | Seller Google google-vertex/global/priority Endpoint terms Cached input /M $0.360 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 $3.60 | Output $21.60 | Precision undeclared | Uptime (1d) 99.69% | | Seller Google AI Studio google-ai-studio/priority Endpoint terms Cached input /M $0.360 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 $3.60 | Output $21.60 | Precision undeclared | Uptime (1d) 99.37% | ### Independent scores | LMArena Elo | 1480.2 default | | --- | --- | LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero. #### Best rankings by task - Agentichtmlslides #4 1226 - Agenticslides(html) #4 1219 - Agenticslides #7 1112 - Agenticslides(python pptx) #7 1107 - Pptxslides #7 1110 - Godot games #8 1236 - SVG #11 1285 - ASCII art #11 1281 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 | audio, file, image, text, video | | 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) | This is Gemini 3.1 Pro Preview, a published API row. It is not Gemini 3.5 Pro, which is not in this catalogue. ## Our take editorial — not a measurement This preview-labelled Gemini accepts several input modalities in the recorded endpoint. For long documents, select the prompt size before comparing prices because the accepted table has a context threshold. Check the vendor’s storage terms as well as cache-read rates when holding context caches. Read the current benchmark evidence with its task and effort settings. ### Strengths - Audio, video, image, file and text input are listed - The accepted table records context-tier and batch pricing ### Weaknesses - Cache storage and cache reads can be separate billing dimensions - The preview label requires an availability and lifecycle check for production use ### Reach for it when - Multimodal task evaluations - Document workflows with explicit cache-retention assumptions ### Avoid it if - You require a generally available rather than preview-labelled model - Your estimate ignores prompt length or cache storage Sources: [ai.google.dev](https://ai.google.dev/gemini-api/docs/pricing) Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation... ## Questions this page answers What does Gemini 3.1 Pro Preview cost? $2.00/M in, $12.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Gemini 3.1 Pro Preview have an independent quality score? Gemini 3.1 Pro Preview has an LMArena score in this catalogue. What beats Gemini 3.1 Pro Preview? 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 3.1 Pro Preview? 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 3.1 Pro Preview. 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-3.1-pro-preview--vs--google__gemini-3.8-flash/) - Nearby on the capability axis [Muse Spark 1.2](/models/meta__muse-spark-1.2/) - Same vendor [Gemini 3.5 Flash](/models/google__gemini-3.5-flash/) - Google models [Google](/providers/google/) - Where this model appears [disagreement](/disagreement/) - Nearby on the capability axis [Gemini 3.6 Flash](/models/google__gemini-3.6-flash/) - Same vendor [Gemini 3.7 Flash](/models/google__gemini-3.7-flash/) - Where this model appears [cliffs](/cliffs/) - Nearby on the capability axis [Muse Spark 1.1](/models/meta__muse-spark-1.1/) - Same vendor [Gemini 2.5 Pro](/models/google__gemini-2.5-pro/) ## 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 3.1 Pro Preview — Undominated.ai dominance verdict](https://undominated.ai/badge/google__gemini-3.1-pro-preview.svg)](https://undominated.ai/models/google__gemini-3.1-pro-preview/) HTML Copy Gemini 3.1 Pro Preview — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/google__gemini-3.1-pro-preview.svg](https://undominated.ai/badge/google__gemini-3.1-pro-preview.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/)