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Gemini 2.5 Pro (Max Thinking)

xhigh
Closed
Google
Proprietary
text
vision
Gemini 2.5Released 2y ago
Avg score
60.1
/ 100 · not enough data for the index
Context
2.0M
Output limit
66k
Input price
$0.63 /M
Output price
$5.00 /M

Price from the model maker's own API, verified 8h ago · cached input $0.06 /M

Benchmarks

performance

Output SpeedN/A
tok/s

Median output speed in tokens per second over the last 14 days on the model maker's own API, measured nightly with a fixed ~800-token prompt and ~250-token answer. Models not yet probed fall back to a dated manual figure. Higher is faster.

Time to First TokenN/A
ms

Median time from request to first streamed token in milliseconds over the last 14 days on the model maker's own API, using the same nightly probe prompt. Lower is snappier; reasoning models are penalised here because they think before talking.

general

Rolling Contamination-Controlled AverageFresh
/100

Contamination-controlled average across every task category in the latest rolling release (e.g. reasoning, coding, data analysis, research, browsing, long-horizon tasks). Questions are rotated with each release and graded against objective ground truth, removing the need for LLM-as-judge scoring. Only models with a score in every category get an average.

data analysis

Rolling Data AnalysisFresh
/100

Rolling contamination-controlled data-analysis evaluation. Table comprehension, CSV / spreadsheet reasoning, SQL-style joins, and chart interpretation. Refreshed every six months with new tables and questions to minimise contamination.

Reliability monitor

Loading drift signal…

Hosted endpoints

HostInput $/MOutput $/MContextSpeedTTFTUptime 24hQuant
Host Umaker's API$0.63$5.001.0M——100.0%unknown
Host Vmaker's API$1.25$10.001.0M——100.0%unknown
Host Wmaker's API$2.25$18.001.0M——100.0%unknown
Anonymised third-party hosts. Sorted by lowest output price. Speed and time to first token are medians from our nightly probe where measured; uptime is the catalog's 24-hour figure.

Effort variants

Same API model, different reasoning budget. Thinking / xHigh modes usually score better on reasoning benchmarks but emit many more output tokens per request. Higher effort is also an alternative to running a team of agents: check whether the extra points are worth the extra output.

VariantIndexvs this pageBlended $/MOutput tokens
Gemini 2.5 Pro58.3—$1.721×
Gemini 2.5 Pro (Max Thinking)xhigh—this page$1.726×

Output tokens are the typical multiple of a standard answer that the cost calculator assumes for each effort level; hidden reasoning bills as output.

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