OpenRouter model

OpenAI: GPT-5.4 Mini

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...

Provider
OpenRouter
Availability
Available
Model ID
openai/gpt-5.4-mini
Snapshot
2026-10-07
Evaluation Verdict

OpenAI GPT-5.4-mini is an exceptional high-throughput subagent engine (61.2% SWE-bench, $0.50/M input), bringing near-frontier coding logic to parallel worktree execution.

OpenAI: GPT-5.4 Mini Benchmarks & Agentic Accuracy

Verified primary research & developer preference metrics

Primary Sources Verified
SWE-bench Verified
61.2%
ThinkingOpenAI Technical Report ↗
LiveCodeBench
64.5%
ThinkingLiveCodeBench ↗
LMSYS Coding Elo
1390Elo
Coding ArenaLMSYS Arena ↗
AIME 2024 / 2025
88%
ThinkingOpenAI Technical Report ↗
Pricing ($ / 1M tokens)
$0.5/ $2
$0.12 cached readStandard API Pricing

What This Means in Real Software Development

  • Breaks the 60% barrier on SWE-bench Verified (61.2%) for a lightweight, sub-dollar model.
  • High throughput ensures rapid test authoring, code compilation, and error recovery.
  • Strong 88.0% on AIME demonstrates deep logic for competitive algorithms and data structures.
  • The ideal model for running 5+ concurrent Coder subagents in Swarm.

Swarm Multi-Agent Topology

Tier 3: Elite High-Throughput SubagentRole: Coder Subagent

Best Paired With: Claude 3.7 Sonnet as Lead Planner

High throughput and low pricing make it the premier engine for concurrent Coder and Finder jobs.

Git Worktree Isolation Advantage:

Executes parallel bug fixes across isolated worktrees without file contention.

What Developers & Practitioners Are Saying

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

Field Consensus

"Highly tuned compact model featuring refined code synthesis and robust error recovery."

Verified Real-World Strengths

  • 61.2% SWE-bench Verified
  • Reliable git diff generation with minimal syntax regressions
  • Fast turn latency

Production Caveats & Gaps

  • Still benefits from isolated test runners to verify changes
Benchmark Reality Check

What the benchmark tests: Evaluates compact agentic bug fixes and unit test generation.

Production caveat: Always execute in isolated git worktrees.

Primary Sources & Methodology Citations

OpenAI: GPT-5.4 Mini model overview

OpenAI: GPT-5.4 Mini 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
400K tokens
Thinking support
off · low · medium · high · xhigh
Availability status
Available
Catalog ID
openrouter/openai/gpt-5.4-mini
  • File input
  • Image input
  • Text input
  • Text output
  • Reasoning
  • Tools
  • Structured output
  • JSON

Run OpenAI: GPT-5.4 Mini in Swarm

Verified CLI workflow & multi-agent architecture

Quickstart Guide →
bash — swarm run
$swarm ctl model set --provider openrouter --model openrouter/openai/gpt-5.4-mini

# Or switch interactively inside the terminal TUI:

>/models

Subagent Role Matrix

Assign OpenAI: GPT-5.4 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.
← All OpenRouter models

Public catalog snapshot. Catalog availability is not a real-time provider status or an access guarantee.