Gemini 3.5 Flash

Spec

Attribute	Value
Developer	Google DeepMind
Released	2026-05-19 (GA at Google I/O 2026)
Announced	2026-05-19 (Google I/O 2026)
Context window	1,048,576 input / 65,536 output tokens
Pricing	$1.50 in / $9.00 out per 1M tokens ($0.15 cached)
License	unknown
Availability	Gemini API, Google AI Studio, Google Antigravity, Gemini app, AI Mode in Google Search
Family	Gemini 3.5
Modalities	Text + image + audio + video → text
Thinking	Dynamic thinking (on by default)
Knowledge cutoff	January 2026
Speed	4× faster than other frontier models (output tokens/sec)

Benchmarks

Benchmark	Score	Context
Terminal-Bench 2.1	76.2%	Agentic coding
MCP Atlas	83.6%	MCP/tool use
CharXiv Reasoning	84.2%	Chart reasoning
GPQA Diamond	90.4%	PhD-level science
MMMU-Pro	81.2%	Multimodal understanding
Outperforms Gemini 3.1 Pro across the full coding and agentic benchmark suite.

Use Cases

Primary positioning: agentic and coding tasks at Flash speed and cost. The "strongest agentic and coding model the Flash series has ever shipped."

• Multi-step agent workflows (MCP Atlas 83.6%)
• Scientific reasoning (GPQA Diamond 90.4%)
• Coding tasks (Terminal-Bench 76.2%)
• Multimodal analysis

Availability

Gemini API, Google AI Studio, Google Antigravity, Gemini app, AI Mode in Google Search.

Compared To

• Gemini 3.1 Pro: Gemini 3.5 Flash surpasses it on coding/agentic/multimodal benchmarks at lower cost and 4× speed
• GPT-5.5 Instant: Both target fast, cost-efficient frontier tiers. Gemini 3.5 Flash has an explicit MCP Atlas benchmark; GPT-5.5 Instant lacks published agentic benchmarks
• Claude Opus 4.7: Anthropic flagship vs. Google's Flash tier; different price/performance tradeoffs
• Devstral 2: Open-weight coding specialist (72.2% SWE-bench) vs. Gemini 3.5 Flash's broader multimodal + agentic scope

Sources

• Google Blog launch
• llm-stats.com benchmarks
• Announced at Google I/O 2026 (2026-05-19) — see Google DeepMind