Gemini 3.5 Flash — Google's Fastest Frontier Model
Launched at Google I/O on May 19, 2026. 289 tokens/sec — 4x faster than Claude Opus 4.7. $1.50/M input — 10x cheaper. Leads on agentic benchmarks. The cost-performance equation just changed.
📋 Key Specifications
| Release Date | May 19, 2026 (Google I/O) |
| Model Family | Gemini 3.5 (first in family) |
| Input Modalities | Text, Image, Video, Audio, PDF |
| Context Window | 1,000,000 tokens |
| Max Output | 65,536 tokens |
| Output Speed | 289 tokens/sec (4x Claude Opus) |
| Knowledge Cutoff | January 2025 |
| Tool Use | Function calling, Structured output, Search, Code execution |
| Computer Use | Not supported |
💰 Pricing Comparison (per 1M tokens)
| Model | Input | Output | Speed |
|---|---|---|---|
| ✅ Gemini 3.5 Flash | $1.50 | $9.00 | 289 t/s |
| GPT-5.5 'Spud' | $5.00 | $30.00 | ~85 t/s |
| Claude Opus 4.7 | $15.00 | $75.00 | ~70 t/s |
| Claude Sonnet 4.6 | $3.00 | $15.00 | ~120 t/s |
| Gemini 3 Flash (prev gen) | $0.75 | $3.00 | ~200 t/s |
💡 Cached input is just $0.15/M tokens — 90% cheaper for repeated prompts. Free tier available on Google AI Studio.
📊 Head-to-Head Benchmarks
Bold = best in row. Source: Google DeepMind official release, May 2026.
| Benchmark | Gemini 3.5 Flash | Claude Opus 4.7 | GPT-5.5 |
|---|---|---|---|
| Terminal-bench 2.1 (Coding) | 76.2% | 66.1% | 78.2% |
| SWE-Bench Pro (Coding) | 55.1% | 64.3% | 58.6% |
| MCP Atlas (Agentic) | 83.6% 🏆 | 79.1% | 75.3% |
| Toolathlon (Agentic) | 56.5% 🏆 | — | 55.6% |
| OSWorld-Verified (UI) | 78.4% | 78.0% | 78.7% |
| Finance Agent v2 | 57.9% 🏆 | 51.5% | 51.8% |
| MMMU-Pro (Multimodal) | 83.6% 🏆 | 75.2% | 81.2% |
| CharXiv Reasoning | 84.2% 🏆 | 82.1% | 84.1% |
| MRCR v2 128k (Long Context) | 77.3% | 46.9% | 41.4% |
| ARC-AGI-2 (Reasoning) | 72.1% | 75.8% | 84.6% |
🏆 Gemini 3.5 Flash wins 6/10 benchmarks — remarkable for a "Flash" model priced at $1.50/M input.
🎯 When Should You Use Gemini 3.5 Flash?
✅ Best For
- AI agents & tool-calling workflows
- High-volume API applications
- Multimodal tasks (image/video/audio)
- Long document analysis (1M context)
- Cost-sensitive production deployments
- Real-time chatbots needing speed
❌ Consider Alternatives For
- Pure coding tasks (Claude Opus still wins)
- Complex reasoning puzzles (GPT-5.5 leads)
- Computer use / GUI automation
- Tasks requiring latest knowledge (cutoff: Jan 2025)
⚡ API Quick Start
Get started in 3 steps:
🔥 Gemini 3.5 Flash vs The Competition
vs Claude Opus 4.7
Gemini 3.5 Flash is 4x faster and 5-8x cheaper than Claude Opus 4.7. It wins on agentic benchmarks (MCP Atlas, Toolathlon), multimodal tasks, and long-context performance. However, Claude Opus still leads on pure coding (SWE-Bench 64.3% vs 55.1%) and complex reasoning. For most production workloads where cost and speed matter, Gemini 3.5 Flash is the better choice.
vs GPT-5.5 'Spud'
Gemini 3.5 Flash is 3.3x cheaper on input and 3.3x cheaper on output than GPT-5.5. It's also 3.4x faster. GPT-5.5 wins on coding benchmarks (Terminal-bench 78.2% vs 76.2%) and reasoning (ARC-AGI-2 84.6% vs 72.1%). But Gemini dominates on agentic tasks, multimodal, and long-context. For high-volume applications, the cost savings are enormous.
vs DeepSeek V4
DeepSeek V4 is the cheapest option at $0.87/M output, but Gemini 3.5 Flash offers better agentic performance, native multimodal support, and a managed API with Google's infrastructure. DeepSeek is better for pure cost optimization; Gemini is better for production reliability and multimodal use cases.
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Try TrendPulse Free →❓ Frequently Asked Questions
Is Gemini 3.5 Flash free to use?
Google AI Studio offers a free tier with rate limits. For production use, it costs $1.50/M input and $9.00/M output tokens. Cached input is $0.15/M.
Can Gemini 3.5 Flash process images and video?
Yes. It natively supports text, images, video, audio, and PDF inputs. This is a major advantage over text-only models like DeepSeek V4.
When is Gemini 3.5 Pro coming?
Sundar Pichai confirmed Gemini 3.5 Pro is scheduled for June 2026 at Google I/O. It's expected to push benchmark scores even higher.
Should I switch from Claude/GPT to Gemini 3.5 Flash?
If you're building agents, handling multimodal data, or need high throughput at low cost — yes. If pure coding quality is your #1 priority, Claude Opus is still competitive. The best strategy is to benchmark both on your specific use case.
Does Gemini 3.5 Flash support function calling?
Yes. It supports function calling, structured output (JSON mode), code execution, and search as a tool. It scored 83.6% on MCP Atlas — the highest of any model tested.