modelgrep

Which AI model should I use?

Match · Updated July 2026

There is no single best AI model — the right pick depends on the job. Right now that means Claude Fable 5 for the hardest reasoning, GPT-5.6 Sol for code, Ling-2.6-flash for budget volume work. Match your need to a row below; every recommendation is the live #1 of a benchmark-backed ranking, not an opinion.

The hardest problems — research, strategy, complex analysis
Raw capability matters more than cost; take the top of the Intelligence Index.
anthropic logo
Claude Fable 5
current #1 · full ranking →
Writing and reviewing code
Coding Index (SWE-bench, SciCode) predicts real software work far better than general intelligence.
openai logo
GPT-5.6 Sol
current #1 · full ranking →
Generating UI, websites or frontend code
Design Arena Elo is voted by humans comparing rendered output head-to-head.
moonshotai logo
Kimi K3
current #1 · full ranking →
Long-form writing, editing and content
High intelligence plus 100K+ context to hold a full draft and its revisions.
anthropic logo
Claude Fable 5
current #1 · full ranking →
Real-time, high-throughput streaming
Tokens per second decides how fluid the experience feels.
openai logo
GPT-5 Nano
current #1 · full ranking →
Voice and interactive apps where response lag kills UX
Time-to-first-token is the metric users actually perceive.
google logo
Gemini 2.5 Flash Lite
current #1 · full ranking →
High-volume batch work on a budget
At millions of tokens a day, price per token dominates every other factor.
I
Ling-2.6-flash
current #1 · full ranking →
Prototyping with zero budget
Free-tier models cost nothing while you validate the idea.
cohere logo
North Mini Code (free)
current #1 · full ranking →
RAG and document Q&A pipelines
128K+ context to hold retrieved passages, balanced against per-token cost at volume.
anthropic logo
Claude Fable 5
current #1 · full ranking →
Reading images, PDFs, charts and screenshots
Only vision-capable multimodal models can take image input at all.
anthropic logo
Claude Fable 5
current #1 · full ranking →
Running on your own hardware, no API
Open weights small enough for a workstation — privacy and zero per-token cost.
minimax logo
MiniMax M3
current #1 · full ranking →
Whole codebases or book-length documents in one prompt
Context window is a hard constraint; pick from the largest.
x-ai logo
Grok 4.20 Multi-Agent
current #1 · full ranking →

Frequently asked

Which AI model should I use?

Start from your binding constraint. If quality is everything, use the Intelligence Index leader. If it's a coding tool, use the Coding Index leader. If users are waiting on responses, optimize latency; if you're processing millions of tokens, optimize price. The table on this page maps each need to the current winner.

Should I just use the smartest model for everything?

No — frontier models cost 10–100× more per token and respond slower than efficient-tier models. For classification, extraction, chat and other high-volume work, a small model delivers near-identical quality at a fraction of the cost. Reserve the flagship for tasks that actually fail on cheaper models.

How current are these recommendations?

Each recommendation is generated from live rankings — benchmark scores refresh daily and speed/price hourly, so the named models change as soon as the leaderboard does.