Gemini 3.5 Flash is a Fast multimodal from Google DeepMind (United States / UK).
One-line fit: best used for Apps needing speed + vision.
Key specifications
| Provider | Google DeepMind |
|---|---|
| Model | Gemini 3.5 Flash |
| Type | Fast multimodal |
| Context window | Large |
| Pricing (indicative) | Lower |
| Company category | Frontier Lab |
| Region | United States / UK |
| Official site | https://deepmind.google |
Benchmarks and public standing
Strong latency/quality balance
Treat scores as directional. SWE-bench, Terminal-Bench, LMSYS Arena, Artificial Analysis, and vendor cards use different harnesses and are not always comparable 1:1. Re-check the latest official model card before decisions.
What this model is good at
Apps needing speed + vision
This aligns with Google DeepMind’s broader strengths:
- Multimodal understanding
- Workspace and Search distribution
- Long-context research
- Video/image generation
Limitations and watch-outs
Hard SWE vs coding specialists
- Rate limits, regional availability, and data retention policies vary by plan.
- Agent harness quality (Cursor, Claude Code, Codex, custom tools) can change outcomes more than raw model Elo.
- Open-weight availability (if any) is separate from hosted API quality and safety filters.
Ideal users
- Product engineers shipping features that match: Apps needing speed + vision
- Teams standardizing on the Google DeepMind ecosystem
- Agent builders who need a Fast multimodal
When to pick something else
- Cheaper volume: compare lower tiers from the same lab or open Chinese/EU alternatives.
- Maximum hard SWE thoughtfulness: compare Claude Fable-class and other coding flagships.
- Giant multimodal corpora / Workspace: compare Gemini-class models.
- Self-host / open weights: Llama, Qwen, DeepSeek, GLM, Mistral open lines.
Parent company
Google DeepMind – Google frontier research and product AI. Gemini powers Search, Workspace, Android, AI Studio, and Vertex AI.
Related models from Google DeepMind
- Gemini 3.5 Pro – Flagship multimodal
- Gemini 2.5 Pro / Flash – Prior generation
- Gemma open models – Open weights
- Veo / Imagen families – Video / image gen
Data is curated for AIForumSphere model directory mid-2026 directional figures.
