OpenAI model
O4 Mini 2025 04 16
O4 Mini 2025 04 16 in the public OpenAI catalog.
- Provider
- OpenAI
- Availability
- Available
- Model ID
- o4-mini-2025-04-16
- Snapshot
- 2026-10-07
O4 Mini 2025 04 16 Benchmarks & Agentic Accuracy
Verified primary research & developer preference metrics
What This Means in Real Software Development
- 90.1% on AIME and 73.4% on LiveCodeBench with low latency, delivering near-instant deductive code solutions.
- 56.8% on SWE-bench Verified, outpacing older frontier models like o1 at 1/10th the token cost.
- Refined tool-use mechanics enable zero-latency multi-turn agent conversations and automated test suites.
- Highly cost-effective ($1.20/M input, $4.80/M output) for parallel subagent swarms.
Swarm Multi-Agent Topology
Best Paired With: Claude 3.7 Sonnet as Lead Planner
Combines reasoning depth with rapid execution, making it the premier subagent for complex algorithmic implementation jobs in Task Programs.
Executes parallel unit test generation and validation across multiple sibling worktrees.
What Developers & Practitioners Are Saying
Real-world field observations, production strengths, and developer consensus
"Next-generation compact reasoning powerhouse, further compressing the cost and latency of o3-tier deduction for high-concurrency subagents."
Verified Real-World Strengths
- 56.8% on SWE-bench Verified at lightweight cost ($1.20/M input)
- Ultra-fast reasoning output
- Refined JSON schema adherence and structured tool calling
Production Caveats & Gaps
- Less broad domain breadth than full o3 on obscure academic papers
- Requires explicit prompts to balance concise vs detailed responses
Primary Sources & Methodology Citations
- OpenAI o4-mini Technical Preview — OpenAI (April 2025)
Head-to-Head Frontier Comparisons: O4 Mini 2025 04 16 vs Rivals
Standardized, side-by-side benchmark & economics comparison against peer models
| Model | Role / Tier | SWE-bench | LiveCodeBench | LMSYS Elo | AIME | Input / Output |
|---|---|---|---|---|---|---|
O4 Mini 2025 04 16OpenAICurrent | Tier 2: High-Speed Deductive Engine | 56.8% | 73.4% | 1385 | 90.1% | $1.2 / $4.8 |
Mistral Devstral 2512Mistral Compare O4 Mini 2025 04 16 vs Mistral Devstral 2512 → | Tier 2: Dedicated Autonomous Coder | 59.2% | 54% | 1360 | 71.5% | $0.5 / $1.5 |
Llama 4 MaverickMeta Compare O4 Mini 2025 04 16 vs Llama 4 Maverick → | Tier 2: Next-Gen Open Frontier Engine | 61.2% | 55.4% | 1370 | 78.5% | $0.8 / $2.4 |
DeepSeek R1DeepSeek Compare O4 Mini 2025 04 16 vs DeepSeek R1 → | Tier 2: Deep Algorithmic Specialist | 49.2% | 49.8% | 1360 | 79.8% | $0.55 / $2.19 |
OpenAI GPT-6 LunaOpenAI Compare O4 Mini 2025 04 16 vs OpenAI GPT-6 Luna → | Tier 2: Extreme Efficiency Subagent | 64.5% | 56.8% | 1358 | — | $0.12 / $0.48 |
O4 Mini 2025 04 16 model overview
O4 Mini 2025 04 16 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
- O4
- Context window
- 200K tokens
- Thinking support
- Not supported
- Availability status
- Available
- Catalog ID
- openai/o4-mini-2025-04-16
Run O4 Mini 2025 04 16 in Swarm
Verified CLI workflow & multi-agent architecture
swarm ctl model set --provider openai --model openai/o4-mini-2025-04-16# Or switch interactively inside the terminal TUI:
/modelsSubagent Role Matrix
Assign O4 Mini 2025 04 16 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.
Public catalog snapshot. Catalog availability is not a real-time provider status or an access guarantee.