Best for tackling complex agentic tasks at scale
Our most intelligent workhorse model yet for coding and agents.
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Versatility across agentic tasks
Optimized for high performance across software engineering, web development and knowledge work tasks.
Smart and rigorous
Rigorous reasoning efforts for better quality output.
Reliable in agentic execution
Navigates roadblocks and resolves coding and real world issues with accuracy.
Truly multimodal
Multimodal understanding across text, audio, images, code, and video.
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3D game built in Google Antigravity
From a simple text prompt to a fully playable 3D game. We used Gemini 3.7 Flash combined with Nano Banana to dynamically generate characters, items, and textures in real-time.
Interactive parallax landing pages
Stunning, interactive landing pages generated in a single shot. We used Gemini 3.7 Flash to orchestrate sub-agents, using Gemini Omni to create smooth, interactive parallax components.
Train a robotics model with multimodal graph looping
Watch a robotics model learn faster. We combined Gemini 3.7 Flash's multimodal understanding with a 3-agent graph loop to speed up the training loop.
Interactive annual report
From a static PDF to an interactive data story. Watch how complex annual reports are transformed into engaging web experiences complete with live charts and aggregated insights.
| Benchmark | Notes | Gemini 3.7 Flash | Gemini 3.6 Flash | Claude Sonnet 5 | GPT-5.6 Terra | Muse Spark 1.2 |
|---|---|---|---|---|---|---|
| Input price $/1M tokens | $0.75* | $0.75* | $2.00 | $2.00 | $1.25 | |
| Output price $/1M tokens | $3.75* | $3.75* | $10.00 | $12.00 | $4.25 | |
| Artificial Analysis Intelligence Index Composite model intelligence | 56 | 52 | 55 | 57 | 57 | |
| FrontierCode 1.1 Main Production code quality | Score | 43.6% | 34.4% | 42.7% | 41.3% | — |
| DeepSWE v1.1 Long-horizon software engineering | 65.3% | 48.6% | 53.8% | 69.6% | 54.9% | |
| Code Arena Web development | Elo | 1588 | 1538 | 1541 | 1523 | 1535 |
| Terminal-bench 2.1 Agentic terminal coding | 85.8% | 78.0% | 80.4% | 87.4% | 82.9% | |
| Terminal-bench 3.0 General agent capabilities | 14.9% | 5.4% | 14.6% | 20.8% | — | |
| AutomationBench Enterprise workflow automation | Private set | 30.4% | 17.0% | 10.7% | 23.6% | — |
| GDPVal-AA v2 Knowledge work | Elo | 1525 | 1422 | 1598 | 1578 | 1628 |
| Harvey LAB-AA Complex legal workflows | 90.7% | 85.1% | 90.1% | 85.2% | — | |
| GDP.pdf Expert PDF document comprehension | 34.0% | 22.0% | 28.0% | 24.7% | 16.0% | |
| CharXiv Reasoning Information synthesis from complex charts | No tools | 84.5% | 85.2% | 77.0% | 85.9% | — |
| With tools | 88.7% | 89.4% | 88.3% | — | — | |
| LVBench Long video understanding | 85.4% | 84.2% | 68.5% | 78.9% | — | |
| GDM-MRCR v2 (8-needle) Long context performance | 128k (average) | 97.0% | 91.8% | 81.5% | 93.5% | — |
| OSWorld-2.0 Agentic computer use | 47.9% | 33.8% | — | 50.2% | — | |
| Agent's Last Exam Multimodal desktop and OS agent tasks | Pass rate | 26.3% | 24.2% | 33.3% | 28.0% | — |
| HLE-Verified Multidisciplinary expert reasoning | 53.6% | 51.2% | 31.0% | 51.1% | — | |
| BioMysteryBench Bioinformatics research reasoning | Human solvable | 87.1% | 80.6% | 87.5% | 83.8% | — |
| Human difficult | 43.5% | 41.2% | 34.1% | 49.4% | — | |
| LABBench2 Biology real-world research tasks | 82.1% | 76.1% | 80.1% | 81.2% | — |
- Name
- 3.7 Flash
- Status
- General availability
- Input
- Text
- Image
- Video
- Audio
- Output
- Text
- Input tokens
- 1M
- Output tokens
- 64k
- Tool use
- Function calling
- Search as a tool
- Computer use
- Best for
- Everyday tasks
- Agentic coding
- Advanced reasoning
- Multimodal understanding
- Knowledge work
- Availability
- Gemini App
- Gemini Enterprise App
- Gemini Enterprise Agent Platform
- Google AI Studio
- Gemini API
- Google Antigravity
- Documentation
- View developer docs
- Model card
- View model card