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

GPT 4.1 achieves SWE-bench Verified: 44.5% (Standard), LiveCodeBench: 41.2%, AIME: 48%. Verified sources: OpenAI GPT-4.1 Architecture and Benchmarks (OpenAI).

How do I run GPT 4.1 with Swarm?

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

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

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

GPT 4.1 — Specs, Context & Capabilities

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

Swarm recommends GPT 4.1 as Coder Subagent (Tier 2: Refined Systems Engineer). High code synthesis fidelity makes it reliable for Stage 2 code implementation in Task Programs. Best paired with: Claude 3.7 Sonnet as Lead Planner.

GPT 4.1 Benchmarks & Agentic Accuracy

Verified primary research & developer preference metrics

Primary Sources Verified

SWE-bench Verified

44.5%

StandardOpenAI Technical Preview ↗

LiveCodeBench

41.2%

StandardLiveCodeBench ↗

LMSYS Coding Elo

1340Elo

Coding ArenaLMSYS Arena ↗

AIME 2024 / 2025

48%

StandardOpenAI Technical Preview ↗

Pricing ($ / 1M tokens)

$2/ $8

$0.8 cached readStandard API Pricing

What This Means in Real Software Development

Significant step up from GPT-4o on agentic code refactoring (44.5% SWE-bench Verified).
Reduces syntax errors in complex TypeScript types and async Rust/Go routines.
Balanced throughput with native tool-calling reliability.
Priced competitively at $2.00/M input and $8.00/M output.

Swarm Multi-Agent Topology

Tier 2: Refined Systems EngineerRole: Coder Subagent

Best Paired With: Claude 3.7 Sonnet as Lead Planner

High code synthesis fidelity makes it reliable for Stage 2 code implementation in Task Programs.

Git Worktree Isolation Advantage:

Operates inside isolated worktrees, committing tested code patches directly to feature branches.

What Developers & Practitioners Are Saying

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

Field Consensus

"A focused coding iteration on the GPT-4 architecture, reducing verbosity and improving diff correctness."

Verified Real-World Strengths

44.5% on SWE-bench Verified
Cleaner unified diffs compared to standard GPT-4o
Lower token consumption due to concise output style

Production Caveats & Gaps

Lacks internal reasoning tokens for hard algorithmic puzzles

Primary Sources & Methodology Citations

OpenAI GPT-4.1 Architecture and Benchmarks — OpenAI (April 2025)

GPT 4.1 model overview

GPT 4.1 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

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

Run GPT 4.1 in Swarm

Verified CLI workflow & multi-agent architecture

Quickstart Guide →

bash — swarm run

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

# Or switch interactively inside the terminal TUI:

>/models

Subagent Role Matrix

Assign GPT 4.1 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 →