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Google · proprietary
Gemini 2.5 Pro
Gemini 2.5 Pro by Google appears in 2 sources with Reasoning at 35.05. Best read for Coding, High intelligence, LLM.
CreatorGoogle
Release date2025-05-20
Knowledge cutoffNot published
Context1M tokens
Input price$1.25/M tokens
Output price$10/M tokens
Modalitytext + vision
CountryUS
Metrics
All source-backed metrics
LLM Stats Rank46ranking · source_rank
Reasoning35.05reasoning · index_reasoning
Math31.28math · index_math
Coding16.81coding · index_code
Vision22.66multimodal · index_vision
Long context29.47long_context · index_long_context
Healthcare32.41domain · index_healthcare
GPQA83 %reasoning · gpqa_score
AIME 202583 %math · aime_2025_score
SWE-bench Verified63.2 %coding · swe_bench_verified_score
Code Arena1,000 %coding · coding_arena_score
Humanity Last Exam17.8 %reasoning · hle_score
ARC-AGI v24.9 %reasoning · arc_agi_v2_score
MMMU79.6 %multimodal · mmmu_score
SimpleQA50.8 %knowledge · simpleqa_score
Context1,048,576 tokenscontext · context
Speed241.68 c/sperformance · throughput
Latency12,428.32 msperformance · latency
Input price1.25 $/Mpricing · input_price
Output price10 $/Mpricing · output_price
Arena Rating1,458.95metric
Arena Rank15metric
Vote Count117,010metric
Evidence
Citations and source overlap
FAQ
How should I read this profile?
Treat this as a source-backed model dossier, not an EvalKit-run verification. The public values are replicated from linked sources and kept source-scoped.
Is Gemini 2.5 Pro verified by EvalKit?
No. EvalKit currently shows 0 verified rows until real run evidence exists.
Why can metrics disagree?
Different sources test different tasks, dates, prompts, and aggregation methods. EvalKit keeps those differences visible instead of merging them into a fake universal score.