← All models
Google · proprietary
Gemini 2.5 Flash
Gemini 2.5 Flash by Google appears in 2 sources with Reasoning at 28.49. Best read for Coding, High intelligence, LLM.
CreatorGoogle
Release date2025-05-20
Knowledge cutoffNot published
Context1M tokens
Input price$0.3/M tokens
Output price$2.5/M tokens
Modalitytext + vision
CountryUS
Metrics
All source-backed metrics
LLM Stats Rank55ranking · source_rank
Reasoning28.49reasoning · index_reasoning
Math22.99math · index_math
Coding11.89coding · index_code
Vision16.83multimodal · index_vision
Long context18.66long_context · index_long_context
Healthcare33.01domain · index_healthcare
GPQA82.8 %reasoning · gpqa_score
AIME 202572 %math · aime_2025_score
SWE-bench Verified60.4 %coding · swe_bench_verified_score
Code Arena909.5 %coding · coding_arena_score
Humanity Last Exam11 %reasoning · hle_score
MMMU79.7 %multimodal · mmmu_score
SimpleQA26.9 %knowledge · simpleqa_score
Context1,048,576 tokenscontext · context
Speed72.53 c/sperformance · throughput
Latency9,090.25 msperformance · latency
Input price0.3 $/Mpricing · input_price
Output price2.5 $/Mpricing · output_price
Arena Rating1,417.95metric
Arena Rank80metric
Vote Count116,697metric
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 Flash 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.