Ask a single AI model a question (no web search, cannot retrieve latest/real-time information). Default: openai/gpt-5.4 (flagship, $2.50/$15, 1.05M ctx). For multiple perspectives on a question, prefer research tool with mode:ask synthesize:false. For code: openai/gpt-5.3-codex. For mid-tier: openai/gpt-5.4-mini ($0.75/$4.50, strong reasoning). For cheaper: openai/gpt-5-mini ($0.25/$2) or google/gemini-3.1-flash-lite-preview ($0.25/$1.50). For cheap with coding: openai/gpt-5.4-nano ($0.20/$1.25). For cheapest: openai/gpt-5-nano ($0.05/$0.40).

Web search with a single model. Use for real-time lookups. For multi-model parallel research, use the research tool.

Query tips (major accuracy improvement):

• NEVER include specific years (e.g. "2024", "2025") — use "latest", "current", or "newest" instead. The search engine returns recent results automatically; hardcoded years risk missing newer content or retrieving outdated info

• One topic per query — split broad questions into multiple calls

• Prefer English for technical topics (official docs are mostly English). Use Japanese when searching for Japan-specific services or local information

• Include exact terms: version numbers, API names, config keys

• Yes/No form for fact checks: "Does X support Y?" prevents false assertions

• Add site: prefix to target official docs

Model guide ($ = cheapest, $$$ = most expensive):

• perplexity/sonar ($): Extremely cheap (~1/20 cost of others). Fastest. Best for single-fact lookups and GitHub Issue searches

• openai/gpt-5.4-nano ($$): Latest gen nano with web search, cheaper than gpt-5-mini ($0.20/$1.25 vs $0.25/$2). Search quality comparable to gpt-5-mini for simple lookups, concise output

• openai/gpt-5-mini ($$): More thorough/comprehensive search results. Best for deep technical docs — migration guides, changelogs, CVE details

• google/gemini-3-flash ($$ default): General queries, broad coverage, good all-around

• openai/gpt-5.4-mini ($$$): Strong reasoning + search ($0.75/$4.50). Concise, high-confidence answers. Better cost-performance than claude-haiku-4.5

• anthropic/claude-haiku-4.5 ($$$): Last resort when other models lack needed info. Most expensive search model ($1/$5) — only use for a different perspective

For parallel multi-model results or diverse perspectives, use the research tool.

Multi-model parallel research. Queries 2-4 AI models simultaneously, then optionally synthesizes results. Use instead of search when: (1) you need higher confidence via cross-validation across sources, (2) you want diverse perspectives on a topic. mode:search (default): web research with grounding across 3 models (sonar, gemini-3-flash, gpt-5.4-nano). mode:ask: multi-model Q&A without web search — for architecture decisions, trade-off analysis, diverse expert opinions (uses gpt-5.4, claude-opus-4.6, gemini-3.1-pro-preview, sonar-reasoning-pro). synthesize:true (default): merges all responses into one comprehensive answer. synthesize:false: shows each model side-by-side with latency and cost — useful for comparing perspectives or when you want raw answers. Query tip: prefer English for technical topics, one focused topic per query. NEVER include specific years in queries — use "latest"/"current"/"newest" instead. Same best practices as the search tool apply.

List available AI models with capabilities, pricing, and web search costs. Use this to choose the right model for your task.