Google: Gemini 2.5 Flash
The Google: Gemini 2.5 Flash model is a versatile AI tool that can handle various input modalities, including text, image, audio, and video files. It also supports context lengths of up to 1048576 tokens, allowing for detailed analysis and reasoning. Additionally, the model provides tools for users to reason with their inputs. When considering which model to use, the Google: Gemini 2.5 Flash may be worth shortlisting due to its balanced price point and moderate benchmark performance. With a blended score of 45.2 across three independent benchmarks, it stands as a viable option for those seeking a reliable AI solution. The model's input cost is $0.3 per million tokens, while the output cost is $2.5 per million tokens.
Benchmark results
Independent, published benchmarks. Blended score 58.4 across 2 benchmarks, last refreshed 2026-10-24. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| Aider Polyglot | code editing across languages | 55.1 |
| EQ-Bench | emotional understanding in dialogue | 47.9 |
- Model ID
- google/gemini-2.5-flash
- Vendor
- Released
- June 2025
- Tokenizer
- Gemini
- Input Modalities
- file, image, text, audio, video
- Output Modalities
- text
- Max Output
- 65,535 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- ✓ accepts audio
- Moderated
- no
What it costs in practice
Computed from the current $0.30/M input and $2.50/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.01 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.28 |
| A month of a busy support chatbot | 5M in / 2M out | $6.50 |
Strong choice for
Code Completion
CSV / Spreadsheet Cleanup
JSON Extraction
Bulk Data Labeling
Customer Support
Meeting Notes
Category rankings
Where Google: Gemini 2.5 Flash places across the 54 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #2 | Meeting NotesBusiness · of 25 ranked | 145 |
| #3 | JSON ExtractionData · of 25 ranked | 136 |
| #3 | Bulk Data LabelingData · of 25 ranked | 130 |
| #3 | Customer SupportBusiness · of 25 ranked | 128 |
| #3 | Dataset AnnotationResearch · of 25 ranked | 136 |
| #4 | Code CompletionCode · of 25 ranked | 133 |
| #5 | CSV / Spreadsheet CleanupData · of 25 ranked | 142 |
| #7 | Transcript CleanupWriting · of 25 ranked | 141 |
| #7 | Audio SummarizationVoice · of 25 ranked | 149 |
| #8 | RFP ResponseBusiness · of 25 ranked | 155 |
| #9 | SQL GenerationCode · of 25 ranked | 146 |
| #9 | Code DocumentationCode · of 25 ranked | 138 |
| #9 | OCR / Document ParsingData · of 25 ranked | 136 |
| #9 | Table Extraction from PDFsData · of 25 ranked | 136 |
| #9 | Video SummarizationVideo · of 25 ranked | 149 |
| #10 | Unit Test GenerationCode · of 25 ranked | 135 |
| #11 | SOP / Process DocsBusiness · of 25 ranked | 124 |
| #13 | Function / Tool CallingAgents · of 25 ranked | 126 |
| #14 | Code RefactoringCode · of 25 ranked | 149 |
| #14 | RAG PipelinesAgents · of 25 ranked | 149 |
| #16 | Data AnalysisData · of 25 ranked | 137 |
| #16 | Long-Document SummarizationWriting · of 25 ranked | 150 |
| #16 | Agent WorkflowsAgents · of 25 ranked | 156 |
| #16 | Coding AgentsAgents · of 25 ranked | 156 |
| #17 | Short-Form SummarizationWriting · of 25 ranked | 126 |
| #17 | Email DraftingWriting · of 25 ranked | 122 |
| #17 | Language LearningEducation · of 25 ranked | 122 |
| #17 | Chat CompanionPersonal · of 25 ranked | 126 |
| #17 | Trivia & General KnowledgePersonal · of 25 ranked | 116 |
| #18 | ETL ScriptingData · of 25 ranked | 140 |
| #18 | Medical Note SummarizationProfessional · of 25 ranked | 140 |
| #19 | Long-Context Q&AAgents · of 25 ranked | 144 |
| #20 | Code ReviewCode · of 25 ranked | 147 |
| #20 | CI/CD PipelinesCode · of 25 ranked | 130 |
| #20 | Contract ReviewProfessional · of 25 ranked | 157 |
| #20 | Essay GradingEducation · of 25 ranked | 147 |
| #21 | Diagram ExtractionVision · of 25 ranked | 133 |
| #21 | Browser AutomationAgents · of 25 ranked | 139 |
| #21 | Character RoleplayPersonal · of 25 ranked | 140 |
| #21 | Fitness CoachingPersonal · of 25 ranked | 120 |
| #21 | Experiment DesignResearch · of 25 ranked | 132 |
| #22 | Bug FixingCode · of 25 ranked | 151 |
| #22 | Financial AnalysisProfessional · of 25 ranked | 132 |
| #22 | Scientific CodingResearch · of 25 ranked | 151 |
| #23 | History TutoringEducation · of 25 ranked | 134 |
| #23 | TranscriptionVoice · of 25 ranked | 123 |
| #24 | Legal ResearchProfessional · of 25 ranked | 151 |
| #24 | Scientific ResearchProfessional · of 25 ranked | 151 |
| #24 | Sales / Cold EmailBusiness · of 25 ranked | 118 |
| #24 | Job Application DraftingBusiness · of 25 ranked | 118 |
| #24 | Fiction CollaboratorPersonal · of 25 ranked | 151 |
| #24 | Journaling HelperPersonal · of 25 ranked | 118 |
| #24 | Recipe GenerationPersonal · of 25 ranked | 118 |
| #24 | Literature ReviewResearch · of 25 ranked | 151 |
Similar models
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Google: Gemini 3.7 Flash
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Quick answers
- How much does Google: Gemini 2.5 Flash cost?
- $0.30 per million input tokens and $2.50 per million output tokens.
- What is Google: Gemini 2.5 Flash's context window?
- 1,048,576 tokens, roughly 1,572 pages of text in a single request.
- Does Google: Gemini 2.5 Flash support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Google: Gemini 2.5 Flash process images?
- Yes, it accepts image input.