What are the verified coding and reasoning benchmarks for GPT 4.1 Mini?

GPT 4.1 Mini achieves SWE-bench Verified: 32% (Standard), LiveCodeBench: 31.5%, AIME: 28.5%. Verified sources: OpenAI GPT-4.1-mini Capabilities (OpenAI).

How do I run GPT 4.1 Mini with Swarm?

Configure GPT 4.1 Mini via CLI using: swarm ctl model set --provider openai --model openai/gpt-4.1-mini, or switch models interactively inside the terminal TUI with /models.

Does Swarm isolate GPT 4.1 Mini 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 GPT 4.1 Mini be assigned to specific subagent roles?

Yes. In ~/.swarm/config.json, you can configure GPT 4.1 Mini as Primary/Planner (DAG task decomposition), Coder (implementation in isolated worktrees), or Finder (read-only symbol search).

GPT 4.1 Mini — Specs, Context & Capabilities

Q: What is the recommended Swarm multi-agent topology for GPT 4.1 Mini?

Swarm recommends GPT 4.1 Mini as Finder Subagent (Tier 3: High-Velocity Subagent Engine). High throughput and low pricing enable deploying 10+ parallel subagents for symbol search and test runs. Best paired with: Claude 3.7 Sonnet as Lead Planner.

GPT 4.1 Mini Benchmarks & Agentic Accuracy

Verified primary research & developer preference metrics

Primary Sources Verified

SWE-bench Verified

32%

StandardOpenAI Technical Preview ↗

LiveCodeBench

31.5%

StandardLiveCodeBench ↗

LMSYS Coding Elo

1275Elo

Coding ArenaLMSYS Arena ↗

AIME 2024 / 2025

28.5%

StandardOpenAI Technical Preview ↗

Pricing ($ / 1M tokens)

$0.2/ $0.8

$0.06 cached readStandard API Pricing

What This Means in Real Software Development

High speed enables instant responses across multi-turn agent conversations.
Substantial 32.0% SWE-bench score at near-zero token cost ($0.20/M input).
Strong support for structured tool calls, function calling, and AST inspection.
Ideal for high-concurrency subagent swarms running inside separate worktrees.

Swarm Multi-Agent Topology

Tier 3: High-Velocity Subagent EngineRole: Finder Subagent

Best Paired With: Claude 3.7 Sonnet as Lead Planner

High throughput and low pricing enable deploying 10+ parallel subagents for symbol search and test runs.

Git Worktree Isolation Advantage:

Executes read-only repo scans across multiple worktrees concurrently.

What Developers & Practitioners Are Saying

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

Field Consensus

"Refined compact model offering improved instruction adherence for developer toolchains."

Verified Real-World Strengths

32.0% on SWE-bench Verified
Fast response times for CLI autocomplete and triage
Crisp code explanations without fluff

Production Caveats & Gaps

Limited capacity for deep multi-step algorithmic reasoning

Primary Sources & Methodology Citations

OpenAI GPT-4.1-mini Capabilities — OpenAI (April 2025)

GPT 4.1 Mini model overview

GPT 4.1 Mini is listed in the public Swarm catalog through OpenAI. This page summarizes the verified catalog fields used by Swarm without claiming real-time access for every provider account.

Provider: OpenAI
Family: Gpt 4.1
Context window: 1.05M tokens
Thinking support: Not supported
Availability status: Available
Catalog ID: openai/gpt-4.1-mini

File input
Image input
Text input
Text output
Tools
Structured output
JSON
Batch

Run GPT 4.1 Mini in Swarm

Verified CLI workflow & multi-agent architecture

Quickstart Guide →

bash — swarm run

$swarm ctl model set --provider openai --model openai/gpt-4.1-mini

# Or switch interactively inside the terminal TUI:

>/models

Subagent Role Matrix

Assign GPT 4.1 Mini 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 →