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OpenRouter model

OpenAI: o3 Mini High

OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...

Provider
OpenRouter
Availability
Available
Model ID
openai/o3-mini-high
Snapshot
2026-10-07
Evaluation Verdict

OpenAI o3-mini is a specialized STEM and coding reasoning model with an exceptional 87.3% on AIME 2024 and 69.5% on LiveCodeBench, excelling at algorithmic correctness and multi-step math.

OpenAI: o3 Mini High Benchmarks & Agentic Accuracy

Verified primary research & developer preference metrics

Primary Sources Verified
SWE-bench Verified
49.3%
High Reasoning (Baseline)OpenAI Official System Card ↗
LiveCodeBench
69.5%
High ReasoningLiveCodeBench v2 Leaderboard ↗
LMSYS Coding Elo
1360Elo
Coding ArenaLMSYS Arena ↗
AIME 2024 / 2025
87.3%
High Reasoning (Pass@1)OpenAI Technical Announcement ↗
Pricing ($ / 1M tokens)
$1.1/ $4.4
$0.55 cached readStandard API Pricing

What This Means in Real Software Development

  • Dominates competitive algorithmic problem-solving with 69.5% on LiveCodeBench and 97.9% on MATH-500.
  • Achieves 49.3% baseline on SWE-bench Verified (jumping to 61%+ under advanced multi-turn agent harnesses).
  • Supports adjustable reasoning effort (low, medium, high) alongside native tool calling and Structured Outputs.
  • Priced at $0.14/M input and $4.40/M output, sitting in the sweet spot between lightweight flash models and heavy frontier weights.

Swarm Multi-Agent Topology

Tier 2: Dedicated Logic & Test EngineerRole: Coder Subagent

Best Paired With: Claude 3.7 Sonnet as Planner or Gemini 3.8 Flash as Finder

Excels at writing comprehensive unit test suites and verifying complex boundary conditions before code merges. Perfect for Stage 2 integration barriers in Task Programs.

Git Worktree Isolation Advantage:

Because o3-mini produces highly deterministic logic patches, running it inside isolated Git worktrees guarantees clean test assertion commits with zero branch pollution.

What Developers & Practitioners Are Saying

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

Field Consensus

"The gold standard for developer price-to-performance in reasoning models. Blazingly fast compared to o1, offering frontier STEM deduction at utility rates."

Verified Real-World Strengths

  • Top-tier LiveCodeBench (52.6%) and AIME (79.2%) for just $1.10/M input
  • High throughput for a reasoning model
  • Excellent for isolated algorithmic modules, regex authoring, and SQL tuning

Production Caveats & Gaps

  • Context window smaller than Gemini (200k vs 1M+)
  • Can overthink simple string formatting or file listing tasks
  • Lacks multimodal image inputs
Benchmark Reality Check

What the benchmark tests: Validates high-speed reasoning and STEM deduction on standardized problem sets.

Production caveat: Requires clear prompt boundaries to prevent unnecessary reasoning loops on trivial tasks.

Primary Sources & Methodology Citations

OpenAI: o3 Mini High model overview

OpenAI: o3 Mini High 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
200K tokens
Thinking support
high
Availability status
Available
Catalog ID
openrouter/openai/o3-mini-high
  • File input
  • Text input
  • Text output
  • Reasoning
  • Tools
  • Structured output
  • JSON

Run OpenAI: o3 Mini High in Swarm

Verified CLI workflow & multi-agent architecture

Quickstart Guide →
bash — swarm run
$swarm ctl model set --provider openrouter --model openrouter/openai/o3-mini-high

# Or switch interactively inside the terminal TUI:

>/models

Subagent Role Matrix

Assign OpenAI: o3 Mini High 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 →
← All OpenRouter models

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