What are the verified coding and reasoning benchmarks for Google: Gemini 3.6 Flash?

Google: Gemini 3.6 Flash achieves SWE-bench Verified: 65.2% (Thinking (Low)), LiveCodeBench: 49.5%, AIME: 78%. Verified sources: The Century Run: 100 Sequential Autonomous Agent Tasks (SwarmAgent Research).

Does Swarm isolate Google: Gemini 3.6 Flash code edits from other agents?

Yes. Swarm provisions isolated Git worktrees for every session and subagent, preventing file race conditions and keeping your main working tree clean until verification passes.

Can Google: Gemini 3.6 Flash be assigned to specific subagent roles?

Yes. In ~/.swarm/config.json, you can configure Google: Gemini 3.6 Flash as Primary/Planner (DAG task decomposition), Coder (implementation in isolated worktrees), or Finder (read-only symbol search).

Google: Gemini 3.6 Flash — Specs, Context & Capabilities

Q: What is the recommended Swarm multi-agent topology for Google: Gemini 3.6 Flash?

Swarm recommends Google: Gemini 3.6 Flash as Finder Subagent (Tier 3: High-Throughput Subagent Engine). Default model for fast discovery, multi-file symbol indexing, and rapid linting. Excellent stability across hundreds of continuous agent steps. Best paired with: Claude 3.7 Sonnet or Gemini 2.5 Pro.

Q: How does Swarm isolate Google: Gemini 3.6 Flash during autonomous code generation?

Operates with minimal memory overhead in Swarms Pebble KV daemon (~25MB RSS), enabling low-spec hosts ($0.15/Mo VPS) to run multi-agent routines.

Q: What are developers and practitioners saying about Google: Gemini 3.6 Flash in production?

Default workhorse for fast reconnaissance and agentic search across massive repositories.

Q: How do I run Google: Gemini 3.6 Flash with Swarm?

Configure Google: Gemini 3.6 Flash via CLI using: swarm ctl model set --provider openrouter --model openrouter/google/gemini-3.6-flash, or switch models interactively inside the terminal TUI with /models.

Google: Gemini 3.6 Flash Benchmarks & Agentic Accuracy

Verified primary research & developer preference metrics

Primary Sources Verified

SWE-bench Verified

65.2%

Thinking (Low)Google DeepMind / Swarm Century Run ↗

LiveCodeBench

49.5%

Thinking (Low)LiveCodeBench Leaderboard ↗

LMSYS Coding Elo

1355Elo

Coding ArenaLMSYS Arena ↗

AIME 2024 / 2025

78%

ThinkingGoogle DeepMind ↗

Pricing ($ / 1M tokens)

$0.15/ $0.6

$0.025 cached readStandard API Pricing

What This Means in Real Software Development

Proven in the live Century Run benchmark: sustained 100 autonomous Git commits, build validations, and refactors with 0 context collapses.
Scores 65.2% on SWE-bench Verified at $0.15/M tokens, offering exceptional cost-to-performance efficiency.
Low thinking mode delivers instant tool-calling response times (<400ms TTFT) for interactive CLI and TUI sessions.
Massive 1M context handles entire repository codebases with zero middle-truncation.

Swarm Multi-Agent Topology

Tier 3: High-Throughput Subagent EngineRole: Finder Subagent

Best Paired With: Claude 3.7 Sonnet or Gemini 2.5 Pro

Default model for fast discovery, multi-file symbol indexing, and rapid linting. Excellent stability across hundreds of continuous agent steps.

Git Worktree Isolation Advantage:

Operates with minimal memory overhead in Swarms Pebble KV daemon (~25MB RSS), enabling low-spec hosts ($0.15/Mo VPS) to run multi-agent routines.

What Developers & Practitioners Are Saying

Real-world field observations, production strengths, and developer consensus

Field Consensus

"Default workhorse for fast reconnaissance and agentic search across massive repositories."

Verified Real-World Strengths

Instant response
Cost-effective context loading for 500k+ token dumps
Stable structured output formatting

Production Caveats & Gaps

Trails frontier models on complex architectural decisions

Primary Sources & Methodology Citations

The Century Run: 100 Sequential Autonomous Agent Tasks — SwarmAgent Research (January 2026)

Google: Gemini 3.6 Flash model overview

Google: Gemini 3.6 Flash is listed in the public Swarm catalog through OpenRouter. This page summarizes the verified catalog fields used by Swarm without claiming real-time access for every provider account.

Provider: OpenRouter
Family: OpenRouter
Context window: 1.05M tokens
Thinking support: low · medium · high
Availability status: Available
Catalog ID: openrouter/google/gemini-3.6-flash

Audio input
File input
Image input
Text input
Video input
Text output
Reasoning
Tools
Structured output
JSON

Run Google: Gemini 3.6 Flash in Swarm

Verified CLI workflow & multi-agent architecture

Quickstart Guide →

bash — swarm run

$swarm ctl model set --provider openrouter --model openrouter/google/gemini-3.6-flash

# Or switch interactively inside the terminal TUI:

>/models

Subagent Role Matrix

Assign Google: Gemini 3.6 Flash to specialized system roles in ~/.swarm/config.json:

Primary / Planner: Orchestrates full task DAGs and multi-stage pipelines.
Coder Subagent: Generates code and unit tests inside private Git worktrees.
Finder Subagent: Performs read-only code search, symbol discovery, and mapping.

System Agent Roles →Why Swarm Architecture →