Gemini 3.6 Flash
gemini-3.6-flash
Total Context
1M
Max Output
65.5K
Released
N/A
Input$1.5 / M tokens
Output$7.5 / M tokens
Gemini 2.5 Pro
gemini-2.5-proGemini 2.5 Pro is Google’s advanced Gemini 2.5 model for complex tasks, deep reasoning, and coding. Official Gemini 2.5 materials describe the generation as “thinking” before responding, with improved performance and accuracy on hard tasks. It remains a strong choice for users who need deliberate reasoning and multimodal understanding.
Context Window
1M tokens
Maximum Output
65.5K tokens
Release Date
Jun 17, 2025
Modalities
Gemini 2.5 Pro Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $1.25/M | $10/M | $0.125/M |
Gemini 2.5 Pro API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Supported
Knowledge Base
2025-01-01
Endpoint Protocols
geminiCompletions APIMessages API
Gemini 2.5 Pro Model Highlights
Gemini 2.5 Pro combines deep reasoning, advanced coding and million-token multimodal context for complex technical and analytical tasks.
Deep Technical Reasoning
Reasons through difficult problems in mathematics, science and engineering before producing a final answer.
Advanced Code Reasoning
Analyzes large codebases, understands dependencies and develops solutions for complex implementation or debugging problems.
Million-Token Multimodality
Processes up to 1,048,576 input tokens across text, images, video, audio and PDFs in a single context.
Gemini 2.5 Pro Use Cases
Gemini 2.5 Pro is suited to complex coding, scientific problem solving and analysis of large multimodal datasets or document collections.
Complex Codebase Analysis
Trace architecture and dependencies across a large repository, diagnose defects and propose coordinated modifications.
Scientific Problem Solving
Work through multi-stage mathematics or STEM problems, explain assumptions and derive a reasoned result.
Large Multimodal Corpus Review
Review extensive documents, recordings, images and video, extract relevant evidence and synthesize findings.
How to Use Gemini 2.5 Pro via the TokenHub API
Replace these path values before running: {model}
curl 'https://us-api.tokenhub.com/v1beta/models/{model}:generateContent' \
-X 'POST' \
-H "Authorization: Bearer $TOKENHUB_API_KEY"Gemini 2.5 Pro Benchmarks
Gemini 2.5 Pro
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 27 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 32 |
| Artificial Analysis Math Index | Artificial Analysis math reasoning aggregate | 87.7 |
| Knowledge & Reasoning | ||
| MMLU-Pro | Advanced multi-task knowledge | 86.2% |
| GPQA | Advanced science problem solving | 84.4% |
| HLE | Broad expert-level exam set | 21.1% |
| Coding & Engineering | ||
| LiveCodeBench | Live coding problems | 80.1% |
| SciCode | Scientific coding challenges | 42.8% |
| Terminal-Bench Hard | Hard terminal task execution | 26.5% |
| Math | ||
| MATH-500 | Advanced math problem solving | 96.7% |
| AIME | Competition math problems | 88.7% |
| AIME 2025 | Competition math problems | 87.7% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 48.7% |
| AA-LCR | Long-context reasoning | 66% |
| τ²-Bench | Agent workflow tasks | 54.1% |
Metrics sourced from Artificial Analysis
Frequently asked questions about Gemini 2.5 Pro
Understand what Gemini 2.5 Pro is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.
What is Gemini 2.5 Pro, and where does it fit in Google’s model lineup?+
Gemini 2.5 Pro is Google’s established Gemini 2.5 Pro reasoning model for code, STEM, large datasets, and long documents. It remains a defined model generation, but newer models in the same family may be preferable for new evaluations.
Which workloads are the best fit for Gemini 2.5 Pro?+
Best-fit scenarios include complex multi-step reasoning, mathematics, science, and engineering problems, and analysis of long documents and datasets. Test representative inputs and define measurable acceptance criteria before production.
Why might a team select Gemini 2.5 Pro over a smaller or older model?+
Key strengths include strong reasoning on difficult problems, strong handling of long context, and support for varied multimodal inputs. This combination is especially useful for mathematics, science, and engineering problems.
What should be validated before relying on Gemini 2.5 Pro?+
Consider another model when the project can adopt a newer Gemini generation, very low latency is the main requirement, or the workflow cannot include human review for important decisions. Verify important factual, legal, financial, medical, or operational outputs with qualified human review.
What is the practical TokenHub setup guidance for Gemini 2.5 Pro?+
In TokenHub, select the exact model identifier displayed for Gemini 2.5 Pro, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Confirm the TokenHub-exposed input types, tools, grounding options, and model lifecycle rather than assuming full Gemini API parity.
Ready to use Gemini 2.5 Pro?
Use one API key to access Gemini 2.5 Pro and more AI models through TokenHub.
Media and Discussions
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