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Gemini 2.5 Flash

GoogleEstablishedReleased Jun 17, 2025
Overall Score
Est. 37Prov. #84 of 119
Arena Elo
1411
Categories Ranked
8of 8
Price (1M tokens)
$0.3 in / $2.5 out
Speed
221tok/s
Context
1M
ProprietaryNon-Reasoning
Confidence
base

According to BenchLM.ai, Gemini 2.5 Flash ranks #84 out of 119 models on the provisional leaderboard with an overall score of 37/100. It does not yet have enough sourced coverage for BenchLM's verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

Gemini 2.5 Flash is a proprietary model with a 1M token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.

This profile currently has 17 of 225 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Its strongest category is Reasoning (#59), while its weakest is Instruction Following (#90). This performance profile makes it particularly strong for complex reasoning, multi-step problem solving, and analytical tasks.

Ranking Distribution

Category rank across 8 benchmark categories — sorted by best rank

Category Performance

Scores across all benchmark categories (0-100 scale)

Category Breakdown

Agentic

#69
33.5/ 100
Weight: 22%4 benchmarks
Terminal-Bench 2.0BrowseCompOSWorld-VerifiedGAIATAU-benchWebArena

Coding

#81
17.1/ 100
Weight: 20%3 benchmarks
SWE-bench VerifiedLiveCodeBenchSWE-bench ProSWE-RebenchSciCode

Reasoning

#59
43.8/ 100
Weight: 17%2 benchmarks
MuSRLongBench v2MRCRv2ARC-AGI-2

Knowledge

#85
26.7/ 100
Weight: 12%6 benchmarks
GPQASuperGPQAMMLU-ProHLEFrontierScienceSimpleQA

Math

#72
27.7/ 100
Weight: 5%0 benchmarks
AIME 2025BRUMO 2025MATH-500FrontierMath

Multilingual

#70
36.6/ 100
Weight: 7%0 benchmarks
MGSMMMLU-ProX

Multimodal

#64
53.4/ 100
Weight: 12%1 benchmark
MMMU-ProOfficeQA ProCharXivCharXiv w/o tools

Inst. Following

#90
42.0/ 100
Weight: 5%1 benchmark
IFEvalIFBench

Chatbot Arena Performance

Text Overall1411CI: ±2.5122,458 votes
Coding1424CI: ±4.425,169 votes
Math1407CI: ±6.87,775 votes
Instruction Following1402CI: ±3.932,997 votes
Creative Writing1397CI: ±5.217,041 votes
Multi-turn1403CI: ±4.821,210 votes
Hard Prompts1420CI: ±3.362,144 votes
Hard Prompts (English)1419CI: ±4.131,300 votes
Longer Query1419CI: ±4.230,538 votes

Benchmark Details

Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.

Compare This Model

See how Gemini 2.5 Flash stacks up against similar models

Gemini 3.1 ProGoogle
Prov. 92
Gemini 3 Pro Deep ThinkGoogle
Prov. 90
Gemini 3.5 FlashGoogle
Prov. 87
Claude Mythos PreviewAnthropic
Prov. 99
Claude Opus 4.8Anthropic
Prov. 95

Frequently Asked Questions

How does Gemini 2.5 Flash perform overall in AI benchmarks?

Gemini 2.5 Flash currently ranks #84 out of 119 models on BenchLM's provisional leaderboard with an overall score of 37 (estimated). It is created by Google and features a 1M context window.

Is Gemini 2.5 Flash good for knowledge and understanding?

Gemini 2.5 Flash ranks #85 out of 119 models in knowledge and understanding benchmarks with an average score of 26.7. There are stronger options in this category.

Is Gemini 2.5 Flash good for coding and programming?

Gemini 2.5 Flash ranks #81 out of 119 models in coding and programming benchmarks with an average score of 17.1. There are stronger options in this category.

Is Gemini 2.5 Flash good for reasoning and logic?

Gemini 2.5 Flash ranks #59 out of 119 models in reasoning and logic benchmarks with an average score of 43.8. There are stronger options in this category.

Is Gemini 2.5 Flash good for agentic tool use and computer tasks?

Gemini 2.5 Flash ranks #69 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 33.5. There are stronger options in this category.

Is Gemini 2.5 Flash good for multimodal and grounded tasks?

Gemini 2.5 Flash ranks #64 out of 119 models in multimodal and grounded tasks benchmarks with an average score of 53.4. There are stronger options in this category.

Is Gemini 2.5 Flash good for instruction following?

Gemini 2.5 Flash ranks #90 out of 119 models in instruction following benchmarks with an average score of 42. There are stronger options in this category.

Does Gemini 2.5 Flash have full benchmark coverage on BenchLM?

Not yet. Gemini 2.5 Flash currently has 17 published benchmark scores out of the 225 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Gemini 2.5 Flash?

Gemini 2.5 Flash has a context window of 1M, which determines how much text it can process in a single interaction.

Related Resources

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Last updated: June 2, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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