OpenAI model

GPT 4.1 2025 04 14

GPT 4.1 2025 04 14 in the public OpenAI catalog.

Provider
OpenAI
Availability
Available
Model ID
gpt-4.1-2025-04-14
Snapshot
2026-10-07
Evaluation Verdict

OpenAI GPT-4.1 advances non-reasoning foundation performance (44.5% SWE-bench Verified, 1340 Coding Elo), providing high-precision code synthesis, reliable dependency resolution, and fast multi-turn responses.

GPT 4.1 2025 04 14 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
Benchmark Reality Check

What the benchmark tests: Evaluates instruction adherence and code edit precision on dirty codebases.

Production caveat: Pair with a test runner to catch edge-case regression bugs.

Primary Sources & Methodology Citations

GPT 4.1 2025 04 14 model overview

GPT 4.1 2025 04 14 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-4.1-2025-04-14
  • File input
  • Image input
  • Text input
  • Text output
  • Tools
  • Structured output
  • JSON

Run GPT 4.1 2025 04 14 in Swarm

Verified CLI workflow & multi-agent architecture

Quickstart Guide →
bash — swarm run
$swarm ctl model set --provider openai --model openai/gpt-4.1-2025-04-14

# Or switch interactively inside the terminal TUI:

>/models

Subagent Role Matrix

Assign GPT 4.1 2025 04 14 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.
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Public catalog snapshot. Catalog availability is not a real-time provider status or an access guarantee.