--- title: "Google: Gemini 2.5 Pro Preview 06-05 — unrated, priced in this catalogue · Undominated.ai" canonical: https://undominated.ai/models/google__gemini-2.5-pro-preview/ description: "Google: Gemini 2.5 Pro Preview 06-05: $1.25/M in, $10.00/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero." --- # Google: Gemini 2.5 Pro Preview 06-05 — unrated, priced in this catalogue · Undominated.ai > Google: Gemini 2.5 Pro Preview 06-05: $1.25/M in, $10.00/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero. [Check base rates for this workload](/check/google__gemini-2.5-pro-preview/) [Cheaper alternatives](/alternatives/) [Family](/families/gemini-2/) [Compare models](https://undominated.ai/compare/?models=google%2Fgemini-2.5-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 2.5 Pro Preview 06-05 Google · 05 Jun 2025 Balanced Summarise Chat Code gen Agentic NOT INDEPENDENTLY RATED ## No independent LMArena score is published for this model. **$3.44** / 1M tokens Balanced · 3 tokens in per 1 out Base context tier shown; inspect the complete context ladder below. · Reasoning tokens are billed separately. Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) Independent LMArena score Not independently rated Context window 1.05M Maximum output 65.54K Input modalities file, image, text, audio Output modalities text Published input price $1.25 / 1M tokens Published output price $10.00 / 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: $1.72/M at Google AI Studio — 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 | $1.25 /M | | --- | --- | | Output | $10.00 /M | | Cached input | $0.125 /M | | Cache write | $0.375 /M | | Cache write 1h | Unknown /M | | Reasoning | $10.00 /M | | Web search | $0.014 /call | **The headline rate does not apply to a long-context workload.** Complete context ladder · 1 tier | More than 200,000 tokens | $2.50 /M in (2×) $15.00 /M out $0.250 /M cached input $0.375 /M cache write | | --- | --- | **Reasoning tokens are billed separately** at $10.00/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 AI Studio google-ai-studio/flex Endpoint terms Cached input /M $0.063 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 $0.625 | Output $5.00 | Precision undeclared | Uptime (1d) 99.98% | | Seller Google google-vertex/global Endpoint terms Cached input /M $0.125 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 98.38% | Input $1.25 | Output $10.00 | Precision undeclared | Uptime (1d) 97.49% | | Seller Google google-vertex/eu Endpoint terms Cached input /M $0.125 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 81.28% | Input $1.25 | Output $10.00 | Precision undeclared | Uptime (1d) 89.42% | | Seller Google AI Studio google-ai-studio Endpoint terms Cached input /M $0.125 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 95.77% | Input $1.25 | Output $10.00 | Precision undeclared | Uptime (1d) 95.92% | | Seller Google google-vertex/us Endpoint terms Cached input /M $0.125 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 97.54% | Input $1.25 | Output $10.00 | Precision undeclared | Uptime (1d) 97.54% | | Seller Google google-vertex/global/priority Endpoint terms Cached input /M $0.225 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 $2.25 | Output $18.00 | Precision undeclared | Uptime (1d) 99.70% | | Seller Google AI Studio google-ai-studio/priority Endpoint terms Cached input /M $0.225 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 $2.25 | Output $18.00 | Precision undeclared | Uptime (1d) 100.00% | ### Independent scores No independent benchmark has measured this model. Unrated is not a score of zero. ### Capability | Context window | 1M | | --- | --- | | Max output | 65K | | Input modes | file, image, text, audio | | Tool use | yes | | Reasoning | always on | | Knowledge cutoff | 2025-01-31 | | Open weights | no | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | unrated | Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy... ## Questions this page answers What does Gemini 2.5 Pro Preview 06-05 cost? $1.25/M in, $10.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Gemini 2.5 Pro Preview 06-05 have an independent quality score? Gemini 2.5 Pro Preview 06-05 has no independent quality score in this catalogue. Unrated is not a score of zero. What beats Gemini 2.5 Pro Preview 06-05? Gemini 2.5 Pro Preview 06-05 has no independent quality score. Unrated is not a score of zero. Does this page use Artificial Analysis scores for Gemini 2.5 Pro Preview 06-05? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. Does a missing score mean Gemini 2.5 Pro Preview 06-05 scored zero? Unrated is not a score of zero. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options Google: Gemini 2.5 Pro Preview 06-05. Balanced workload. Not independently rated. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related No independent quality score, so there is no dominator to name. Unrated is not a clean bill of health. - Same vendor [Gemini 3.8 Flash](/models/google__gemini-3.8-flash/) - Google models [Google](/providers/google/) - Where this model appears [cliffs](/cliffs/) - Same vendor [Gemini 3.7 Flash](/models/google__gemini-3.7-flash/) - Where this model appears [effort](/effort/) - Same vendor [Gemini 3.1 Pro Preview](/models/google__gemini-3.1-pro-preview/) - Where this model appears [traps](/traps/) - Where this model appears [subscription vs API](/plans/) ## 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. 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