← All models
Google · proprietary
Gemini 3.5 Flash
Gemini 3.5 Flash by Google appears in 1 source with Reasoning at 59.19. Best read for LLM, Long context, Low cost.
CreatorGoogle
Release date2026-05-19
Knowledge cutoffNot published
Context1M tokens
Input price$1.5/M tokens
Output price$9/M tokens
Modalitytext + vision
CountryUS
Metrics
All source-backed metrics
LLM Stats Rank14ranking · source_rank
Reasoning59.19reasoning · index_reasoning
Math40.57math · index_math
Coding46.37coding · index_code
Vision40.09multimodal · index_vision
Tool calling42.18tool_calling · index_tool_calling
Long context14.31long_context · index_long_context
Finance33.8domain · index_finance
Legal37.44domain · index_legal
Code Arena1,507.03 %coding · coding_arena_score
Humanity Last Exam40.2 %reasoning · hle_score
ARC-AGI v272.1 %reasoning · arc_agi_v2_score
MMMU-Pro83.6 %multimodal · mmmu_pro_score
Toolathlon56.5 %tool_calling · toolathlon_score
MCP Atlas83.6 %tool_calling · mcp_atlas_score
MRCR v226.6 %long_context · mrcr_v2_score
SWE-bench Pro55.1 %coding · swe_bench_pro_score
CharXiv-R84.2 %multimodal · charxiv_r_score
Context1,048,576 tokenscontext · context
Speed188.94 c/sperformance · throughput
Latency4,492.42 msperformance · latency
Input price1.5 $/Mpricing · input_price
Output price9 $/Mpricing · output_price
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 3.5 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.