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Live evidenceSeptember 23, 2026

LLM Leaderboard & AI Model Benchmarks — September 2026

A ranking is a shortlist. Open the evidence before you treat it as a decision. 71 Supported and 125 Estimated models of 513 tracked — 455 benchmarks, pricing, and runtime data.

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Current BenchAlign leaders

Snapshot September 23, 2026

Method

GPT-6 AstraSupported
OpenAI01
Score88.4790% interval 84.0–92.9
Agentic
71
Coding
74
Reasoning
90
Multimodal
83
Knowledge
87
Multilingual
Not measured
Instruction following
Not measured
Math
85
Supportedenough independent evidence
Details for GPT-6 Astra
Claude Opus 5.5Estimated
Anthropic02
Score88.4590% interval 76.9–100.0
Agentic
89
Coding
87
Reasoning
79
Multimodal
89
Knowledge
90
Multilingual
Not measured
Instruction following
Not measured
Math
Not measured
Estimatedwider uncertainty
Details for Claude Opus 5.5
Claude Fable 5.1Supported
Anthropic03
Score83.3490% interval 78.7–88.0
Agentic
79
Coding
81
Reasoning
79
Multimodal
Not measured
Knowledge
87
Multilingual
Not measured
Instruction following
Not measured
Math
Not measured
Supportedenough independent evidence
Details for Claude Fable 5.1

Price context: GPT-6 Sol retains 93% of the top score with an output price 80% lower.

Data refreshed: September 23, 2026
Supported: 71 models
Ranking method: BenchAlign v5.6

The LLM leaderboard — September 2026 rankings

Benchmarks, pricing, runtime signals, and context window in one table. Filter state syncs to the URL so every view is shareable. Supported and Estimated labels show how much independent evidence backs each position.

Methodology Providers AI Race

CSV JSON

Supported means we have enough independent evidence to stand behind the row. Estimated means the rank is visible and the uncertainty is wider.

Supportedenough independent evidenceEstimatedwider uncertainty

LLM leaderboard table

1 GPT-6 Astra OpenAISupported	88.47	71	74	90	83	87	—	—	85	$10.00 / $50.00	1.05M	53	361.46s	—	OpenAI	Closed	Current	Reasoning
2 Claude Opus 5.5 AnthropicEstimated	88.45	89	87	79	89	90	—	—	—	$4.00 / $20.00	1M	90	34.88s	—	Anthropic	Closed	Current	Reasoning
3 Claude Fable 5.1 AnthropicSupported	83.34	79	81	79	—	87	—	—	—	$10.00 / $50.00	1M	65	291.45s	1498.47	Anthropic	Closed	Current	Reasoning
4 GPT-6 Sol OpenAIEstimated	82.17	60	66	79	83	80	—	—	—	$2.00 / $10.00	1.05M	Not measured	Not measured	—	OpenAI	Closed	Current	Reasoning
5 GPT-5.6 Sol OpenAISupported	80.44	70	72	71	88	81	—	88	97	$4.00 / $20.00	1.05M	82	113.21s	1483.47	OpenAI	Closed	Superseded	Reasoning
6 Claude Opus 5 AnthropicSupported	80.35	77	73	76	89	82	—	—	—	$5.00 / $25.00	—	54	54.78s	1492.9	Anthropic	Closed	Superseded	Reasoning
7 Claude Fable 5 AnthropicSupported	79.53	74	75	78	63	83	—	76	—	$10.00 / $50.00	1M+	67	107.97s	1505.68	Anthropic	Closed	Superseded	Reasoning
8 GPT-5.5 Pro OpenAIEstimated	73.04	—	—	—	—	—	—	—	70	$30.00 / $180.00	1M	Not measured	Not measured	—	OpenAI	Closed	Current	Reasoning
9 GPT-5.6 Terra OpenAISupported	72.76	60	65	63	77	72	—	86	97	$2.00 / $12.00	1.05M	Not measured	Not measured	—	OpenAI	Closed	Current	Reasoning
10 Gemini 3.8 Flash GoogleSupported	72.74	65	64	77	83	74	—	—	—	$0.75 / $3.75	1M	276	13.78s	1493.01	Google	Closed	Current	Reasoning
11 Kimi K3 Moonshot AISupported	72.53	70	63	79	89	69	—	—	—	$3.00 / $15.00	1.05M	37	58.52s	1484.77	Moonshot AI	Closed	Current	Reasoning
12 GPT-5.4 Pro OpenAIEstimated	72.44	—	—	70	—	—	—	—	69	$30.00 / $180.00	1.05M	74	151.79s	1476.39	OpenAI	Closed	Established	Reasoning
13 Qwen3.8 Max AlibabaSupported Self-host	72.02	66	56	87	87	66	—	91	—	Not listed	1M	39	54.03s	1480.56	Alibaba	Open	Current	Reasoning
14 Claude Opus 4.8 AnthropicSupported	70.86	62	64	56	88	70	—	74	65	$5.00 / $25.00	1M	58	34.59s	1473.22	Anthropic	Closed	Superseded	Reasoning
15 GPT-5.5 OpenAISupported	69.48	60	65	64	71	71	—	92	69	$5.00 / $30.00	1M	94	50.89s	1481.76	OpenAI	Closed	Superseded	Reasoning
16 Grok 4.6 xAISupported	69.23	68	63	76	—	69	—	—	—	$2.00 / $6.00	500K	58	42.75s	1455.56	xAI	Closed	Superseded	Reasoning
17 GPT-5.4 OpenAISupported	69.23	49	51	57	69	66	—	89	64	$2.50 / $15.00	1.05M	138	134.97s	1465.66	OpenAI	Closed	Superseded	Reasoning
18 Claude Opus 4.7 (Adaptive) AnthropicEstimated	68.83	59	57	50	50	63	—	—	—	$5.00 / $25.00	1M	Not measured	Not measured	1502.21	Anthropic	Closed	Superseded	Reasoning
19 Claude Sonnet 5 AnthropicSupported	67.25	64	61	77	77	64	—	—	—	$2.00 / $10.00	1M	78	146.46s	1461.21	Anthropic	Closed	Current	Reasoning
20 GPT-5.2 Pro OpenAIEstimated	66.75	—	—	—	—	—	—	—	—	$21.00 / $168.00	400K	Not measured	Not measured	1440.15	OpenAI	Closed	Established	Reasoning
21 GPT-6 Luna OpenAIEstimated	66.52	55	54	78	71	66	—	—	—	$0.10 / $0.50	1.05M	Not measured	Not measured	—	OpenAI	Closed	Current	Reasoning
22 Muse Spark 1.1 MetaSupported	66.44	58	57	74	77	68	—	—	—	Not listed	1M	217	12.12s	1492.56	Meta	Closed	Superseded	Reasoning
23 Claude Opus 4.7 AnthropicEstimated	66.35	53	60	—	—	62	—	—	61	$5.00 / $25.00	1M	50	26.04s	1494.45	Anthropic	Closed	Current	Standard
24 GLM-5.3 Z.AIEstimated Self-host	65.55	67	58	76	—	61	—	—	—	$0.00 / $0.00	1M	61	36.36s	—	Z.AI	Open	Current	Reasoning
25 Grok 4.5 xAISupported	65.37	58	59	45	79	67	—	—	—	$2.00 / $6.00	500K	53	10.94s	1468.13	xAI	Closed	Superseded	Reasoning

AG Agentic CO Coding RE Reasoning MM Multimodal & Grounded KN Knowledge ML Multilingual IF Instruction Following MA Math

Source-linked · the table lists 507 of 513 tracked models; 196 carry a BenchAlign rank

How the score is built

What the table covers

The BenchLM LLM leaderboard 2026 ranks 196+ models and tracks 513+ large language models side by side across 455 benchmarks — from SWE-bench and LiveCodeBench for coding to GPQA Diamond and MMLU-Pro for knowledge and reasoning. Whether you need the best AI models 2026 has to offer for agentic workflows, math, multilingual tasks, or instruction following, our AI benchmark comparison tables make it easy to see how GPT-5, Claude, Gemini, DeepSeek, Llama, and dozens of other frontier and open-source models stack up on both benchmarks and operator tradeoffs like price and context. Supported and Estimated labels separate evidence strength from score, so incomplete reporting does not automatically remove a model from the comparison.

Reading the table

Embed the live leaderboard

What changed in September 2026

GPT-6 Astra (OpenAI) holds the #1 spot on the BenchAlign leaderboard at 88.47.
36 model releases tracked in September 2026.
Google climbed 1 spot in the provider race.
71 Supported and 125 Estimated models appear in the public leaderboard.

Dataset journalData verified September 23, 2026

Explore benchmarks by category

Move from the overall ranking into the capability or workload that actually decides your model choice.

The evidence mapBenchmark directory

Radar · latest confirmed releases

3 source-linked updates

Every model on this board will change. Radar keeps the record: releases, price changes, retirements, and API changes, each with its source and its date, matched to the models you declare.

Gemini 3.8 Flash TTS and Flash-Lite TTS releasedLatest
Google · Sep 23, 2026
Source confirmed
Claude Opus 5.5 released
Anthropic · Sep 22, 2026
Source confirmed
MiMo-V2.6-Pro and MiMo-V2.6-Flash released
Xiaomi · Sep 22, 2026
Source confirmed

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Decision-ready picks

Current models that clear the ranking, freshness, and evidence thresholds for each decision.

DecisionModelCurrent measureProvenance

Best open weightHighest-scoring evidence-qualified current open-weight model.Qwen3.8 MaxAlibaba72.02overall scoreSupported · 3 source families
Best near-frontier value93% of the leading score at a lower output price.GPT-6 SolOpenAI$10output / 1M tokensEstimated · 1 source family
Fastest measuredFastest externally measured model that also clears the ranking and evidence thresholds.Gemini 3.5 Flash-LiteGoogle357tokens / secArtificial Analysis · updated 2026-09-23
Largest useful contextLargest context among evidence-qualified current models retaining at least half of the leading score.GPT-6 AstraOpenAI1.05Mcontext windowSupported · 2 source families

Current models that clear rank, freshness and evidence thresholds

Qualification method Qualification method

Popular comparisons

Claude Opus 5.5 vs Claude Opus 5 Claude Fable 5.1 vs GPT-6 Astra GPT-6 Astra vs GPT-5.6 Sol Claude Fable 5.1 vs Claude Opus 5 GPT-6 Astra vs Claude Opus 5 Claude Fable 5.1 vs Claude Fable 5 Gemini 3.8 Flash vs GPT-6 Astra Gemini 3.8 Flash vs Gemini 3.7 Flash Grok 4.6 vs GPT-5.6 Sol

Tools and resources

AI Prompt WriterTurn the work you need into a testable prompt Prompt OptimizerGet closer to usable output with a clearer prompt LLM Pricing ComparisonCompare API costs across models Alternative FinderFind the best ChatGPT or Claude replacement Which LLM Should I Use?Get a personalized recommendation Cost CalculatorEstimate your monthly API spend Methodology & ExplainersHow benchmarks are scored and curated

How we work

A ranking is a shortlist.

Rank orders the evidence; it does not make the decision. Every row here opens to its sources so you can disagree with us.

We do not invent scores to fill a table.

A model without a public, independent row stays unranked, and says so. Vendor-run numbers are shown, labeled, and kept out of the rank.

When we were wrong, the fix is on the page.

Scoring bugs, missing coverage, and re-weightings are dated and linked, because a ranking you cannot audit is a launch post with a table.

The desk

Editorial policy

The AI race, read as a record instead of a spectacle

Track which release led its month, how provider depth changed, and whether the crown moved.

Explore the release timeline

Months: 6
Releases: 230
Lead changes: 5

Best ranked model released in Sep 2026

GPT-6 AstraOpenAI

Score88.47

RankProviderTop-three avg.Models

01Anthropic8420

02OpenAI83.735

03Google67.718

Six-month release record

Explore the release timeline

Scoring methodology8 weighted categories, 61 ranking benchmarks, and 300 display-only records.Inspect method

Category weights: 100%
Scored categories: 8
Ranking benchmarks: 61
Display-only: 300

Each model's overall score is a normalized weighted average of category averages. Within each category, benchmark results are normalized to a common scale and combined using weights that favor harder, less-saturated evaluations.

Confidence remains separate from score. It shows how much public benchmark evidence supports a result, while display-only benchmarks stay visible for context without receiving ranking weight.

Data comes from OpenBench, official model papers, and public leaderboards. External consensus signals are bounded calibration inputs and are not exposed in exported data.

Read the complete methodology

Category and weightBenchmarks that affect the scoreCoverage

Agentic22%
Terminal-Bench 3.0 · Terminal-Bench 4.0 · AA AutomationBench · AA EnterpriseOps-Gym · AA Harvey LAB · AA Tau3 Banking · Terminal-Bench 2.0 · Terminal-Bench 2.1 · BrowseComp · HLE w/ tools · GDPval-AA · OSWorld-Verified · OSWorld 2.0 · JobBench · MCP Atlas · Toolathlon · Toolathlon-Verified · AutomationBench · Agents' Last Exam · DeepSearchQA · BFCL v4 · τ³-bench results · Terminal-Bench 2.1 (Vals)
23 weighted · 70 context-only
Coding20%
SWE-Rebench · SWE-bench Pro · VulcanBench v3 · FrontierCode 1.1 Main · SWE Multilingual · FrontierSWE v2 · SciCode · AA-SciCode · LiveCodeBench (Vals) · DeepSWE
10 weighted · 53 context-only
Reasoning17%
LongBench v2 · MRCRv2 · ARC-AGI-2 · ARC-AGI-3 · AA-LCR · CritPt
6 weighted · 24 context-only
Multimodal12%
MMMU-Pro · AA-MMMU-Pro · OfficeQA Pro · CharXiv
4 weighted · 65 context-only
Knowledge12%
GPQA · SuperGPQA · MMLU-Pro · HLE · AA-GPQA Diamond · AA-HLE · AA-Omniscience Accuracy · HLE w/o tools · GPQA Diamond (Vals) · MMLU-Pro (Vals)
10 weighted · 44 context-only
Multilingual7%
MMLU-ProX
1 weighted · 13 context-only
Instruction Following5%
IFBench · AA-IFBench
2 weighted · 2 context-only
Math5%
AIME26 · HMMT Feb 2026 · FrontierMath v2 (Tiers 1-3) · FrontierMath v2 (Tier 4) · USAMO 2026
5 weighted · 29 context-only

Scoring methodology · BenchAlign v5.6

Inspect method