The 2026 AI Model Leaderboard

Our independent ranking of the leading AI models on capability, price, and real-world usefulness. Updated as new models ship. Scores are our composite rating, not a single benchmark.

12 models trackedUpdated weeklyBy Codixology AI desk

#	Model	Score	Context	Price /1M tok	Best for
1	C Model A Lab One	94	200K	$3 / $15	Reasoning & coding	Try →
2	G Model B Lab Two	92	1M	$1.25 / $10	Long context	Try →
3	O Model C Lab Three	91	128K	$2.50 / $10	General purpose	Try →
4	L Model D Lab Four	88	128K	Open weights	Self-hosting	Try →
5	M Model E Lab Five	86	32K	$0.60 / $2	Value & speed	Try →
6	R Model F Lab Six	84	64K	$0.90 / $3	Multilingual	Try →

⚠ Placeholder data. Model names, scores, context windows, and prices are illustrative and must be verified against each provider’s current documentation before publishing.

Category winners

Best model by job

The top pick can differ depending on what you’re actually doing.

Best for coding

Model A

Strongest at multi-step reasoning and refactoring across files.

Best value

Model E

Near-frontier quality at a fraction of the cost per token.

Longest context

Model B

A 1M-token window for whole codebases and long documents.

Best open weights

Model D

The strongest model you can self-host and fine-tune freely.

Methodology

How we score models

Our composite score blends four things we weigh by how much they matter to real users, not by what looks good on a chart:

Capability, measured across reasoning, coding, writing, and instruction-following tasks we run ourselves.
Price, the blended input and output cost for a realistic workload, because a great model you can’t afford isn’t useful.
Context and limits, how much you can fit in one request and how reliably the model uses it.
Reliability, latency, uptime, and how often the model refuses reasonable requests.

We update the board as models are released or repriced. Scores are our editorial judgment, informed by public benchmarks but not dictated by any single one.

FAQ

Leaderboard questions

How often is the leaderboard updated? +

We review it weekly and update immediately when a major model launches or changes its pricing.

Are these scores based on one benchmark? +

No. The score is a composite of our own hands-on testing plus public benchmarks. We weight practical usefulness over leaderboard-chasing.

Which model should I actually use? +

It depends on your job. Use the category winners above as a shortcut: coding, value, long context, or open weights.

Do you get paid to rank models? +

No. Rankings are independent. Some links may be affiliate links, but they never affect a model’s position.

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