Which coding model should I default to?

Start prompts on a fast, cheap model and escalate the hard calls to a frontier one. In idapt you switch mid-conversation with full context, so the split costs nothing.

Where do these rankings come from?

The live rankings page tracks named public benchmarks (LiveCodeBench, SciCode, and others) per model; the picks here follow its coding lane and get re-verified on review.

Can the model run the code it writes?

Yes: idapt agents execute code on cloud computers, so a coding model can write, run, and fix in one loop instead of handing you untested snippets.

All roundups

Best of

The models that ship working code.

Coding picks backed by live benchmark rankings and real prices, from frontier reviewers to fast pair-programmers.

Last reviewed July 16, 2026

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Coding is where model differences are most measurable: a model either produces code that runs or it does not. The picks below combine the live coding leaderboard with day-to-day fit (context, speed, price), and every one of them runs in the same idapt chat, so switching between them costs nothing.

How we pickedPicks come from the coding lane of the live rankings (LiveCodeBench and SciCode among the named benchmarks), cross-checked against context window and per-token price from the model registry. The specs beside each pick render from live catalog data, not this page's copy. Full standings: the coding leaderboard.

The picks

1Claude Opus 4.8The heavyweight for hard, multi-file work.

$5 in / $25 out per M tokens · 1M context

Consistently at the top of the coding lane for repo-scale reasoning and review; the pick when correctness on a hard change matters more than latency.

Best for: Deep debugging, refactors, and code review.

2Kimi K2.7 CodeThe coding specialist.

$0.74 in / $3.50 out per M tokens · 262K context

A model tuned specifically for code, strong on the coding benchmarks at a fraction of frontier pricing.

Best for: Sustained coding sessions where volume matters.

3Qwen 3 Coder NextThe open-weight coding pick.

$0.11 in / $0.8 out per M tokens · 262K context

The strongest open-weight coding line in the catalog; also the natural choice when you want the same family locally and hosted.

Best for: Open-weight preference and local-plus-cloud workflows.

4Grok Build 0.1xAI's build-focused agent model.

$1 in / $2 out per M tokens · 256K context

Tuned for agentic build loops (write, run, fix); pairs well with a cloud computer that gives it somewhere to run.

Best for: Agent-driven build-and-fix loops.

5GPT-5.6 SolOpenAI's flagship generalist.

$5 in / $30 out per M tokens · 1.1M context

A top-tier all-rounder that codes at frontier level while staying strong on everything around the code: specs, naming, docs.

Best for: Mixed sessions of code, writing, and planning.

Frequently asked

Run them in one workspace

Code Execution

Sandboxed Python, Node, and shell: agents and you, side-by-side.

Cloud Computers

Spin up cloud machines your agents can use: per-second billing, hibernate when idle.

Agents

Skills, scoped permissions, persistent memory: any model you pick.

Keep comparing

Models that show their work.Frontier answers at commodity prices.Open weights at the frontier.idapt vs Cursor idapt vs GitHub Copilot

Judge them on your own prompt

Every pick on this page runs in one idapt chat. Start free with a daily allowance, no credit card.

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