270 models · 249 benchmarks

Compare frontier AI models by quality, cost, and context

124 provisional-ranked models, 33 verified-ranked models, and 270 tracked LLMs. The most comprehensive LLM comparison tool — 249 benchmarks, real pricing, and runtime data in one place.

The top-ranked model on the BenchLM leaderboard is Claude Mythos 5 with an overall score of 99.

Last verified: June 29, 2026

Methodology Providers AI Race

124 prov. / 33 ver.

Leaderboard

$0.30 avg output/M

LLM Pricing

Latency & tokens/sec

Speed Dashboard

24 agentic evals

Agent Benchmarks

−94% since 2023

Pricing Trends

CSV · JSON · Embed

Data Export

Agentic Coding Multimodal Reasoning Knowledge Inst. Following Multilingual Math

Explore by Use Case

Additional reporting pages for long context, tool use, web research, computer use, document AI, image understanding, frontend work, and factuality.

Browse all rankings

Long Context

LongBench v2, MRCR, AI-Needle, Graphwalks

Tool Use

BFCL, MCP Atlas, Toolathlon, TAU Bench

Web Research

BrowseComp, WebArena, WebVoyager

Computer Use

OSWorld, ScreenSpot Pro, Vision2Web

Document AI

OfficeQA Pro, OmniDocBench, CC-OCR

Image Understanding

MMMU-Pro, AI2D, CountBench, RefCOCO

Frontend / App Dev

React Native Evals, Design2Code, Vision2Web

Factuality

SimpleQA, HLE w/o tools, Facts-VLM

The BenchLM LLM leaderboard 2026 provisionally ranks 124+ models and tracks 270+ large language models side by side across 249 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. The main leaderboard now distinguishes provisional ranking from verified ranking so you can see which scores rest on exact-source coverage and which still rely on source-unverified public rows.

Compare models instantly

Decision-ready picks

The fastest way to scan the current BenchLM dataset by outcome instead of just by benchmark.

How BenchLM scores these

Best Overall

Claude Mythos 5

overall score

Anthropic

Best Open Weight

GLM-5.2

overall score

Z.AI

Cheapest

Qwen3.6-27B

$0.00

avg / 1M tokens

Alibaba

Fastest

Mercury 2

789

tokens / sec

Inception

Lowest Latency

Command A+

0.25s

to first answer

Cohere

Largest Context

Llama 4 Scout

10M

context window

Unified Model Leaderboard

Benchmarks, pricing, runtime signals, and context window in one table. Filter state syncs to the URL so every view is shareable. Provisional-ranked mode includes source-unverified non-generated benchmark evidence.

Methodology Providers AI Race

CSV JSON

270 models

Provisional-ranked mode includes source-unverified non-generated benchmark evidence.Score confidence:Full sourced coverageGood sourced coverageLimited sourced coverageEstimated


1 Claude Mythos 5 Anthropic	Anthropic	Closed	Current	Reasoning	1M+	$10.00 / $50.00	N/A	N/A	99	100	100	—	99	99	100	91	—	—
2 Claude Fable 5 Anthropic	Anthropic	Closed	Current	Reasoning	1M+	$10.00 / $50.00	N/A	N/A	95	89	100	—	79	100	100	93	—	1507.59
3 Claude Opus 4.8 Anthropic	Anthropic	Closed	Current	Reasoning	1M	$5.00 / $25.00	N/A	N/A	92	96	97	—	66	99	—	—	—	1477.85
4 Qwen3.7 Max Alibaba	Alibaba	Closed	Current	Reasoning	1M	N/A	N/A	N/A	90	85	91	95	—	86	84	93	—	1474.65
5 GPT-5.4 Pro OpenAI	OpenAI	Closed	Current	Reasoning	1.05M	$30.00 / $180.00	74	151.79s	90	90	91	98	100	60	—	94	92	1478.02
6 GLM-5.2 Z.AI Self-host	Z.AI	Open	Current	Reasoning	1M	$1.40 / $4.40	N/A	N/A	90	83	88	—	—	98	—	—	—	—
7 Gemini 3.1 Pro Google	Google	Closed	Current	Standard	1M	$2.00 / $12.00	109	29.71s	89	67	93	96	84	94	100	93	67	1486.42
8 Gemini 3 Pro Deep Think Google	Google	Closed	Current	Reasoning	2M	N/A	N/A	N/A	~89	92	73	89	100	88	82	82	95	1486.39
9 Grok 4.1 xAI	xAI	Closed	Superseded	Standard	1M	N/A	N/A	N/A	~89	76	81	98	98	94	97	91	99	1459.55
10 GPT-5.5 OpenAI	OpenAI	Closed	Superseded	Reasoning	1M	$5.00 / $30.00	N/A	N/A	88	97	78	100	58	96	—	—	98	1474.85
11 GPT-5.4 OpenAI	OpenAI	Closed	Superseded	Reasoning	1.05M	$2.50 / $15.00	74	151.79s	87	83	87	96	60	98	100	96	94	1467.72
12 DeepSeek V4 Pro (Max) DeepSeek Self-host	DeepSeek	Open	Current	Reasoning	1M	$1.74 / $3.48	N/A	N/A	87	87	89	—	—	77	—	—	—	—
13 Claude Opus 4.6 Anthropic	Anthropic	Closed	Superseded	Standard	1M	$5.00 / $25.00	40	1.78s	86	80	85	88	77	91	100	95	86	1498.76
14 Gemini 3.5 Flash Google	Google	Closed	Current	Reasoning	1M	$1.50 / $9.00	284.2	18.55s	86	94	77	79	80	82	—	78	—	1476.25
15 Qwen3.7 Plus Alibaba	Alibaba	Closed	Current	Reasoning	1M	N/A	N/A	N/A	85	85	87	100	76	79	80	96	—	—
16 GPT-5.3 Codex OpenAI	OpenAI	Closed	Current	Reasoning	400K	$1.75 / $14.00	79	88.26s	~85	77	87	93	96	92	97	91	100	1416
17 Claude Opus 4.7 (Adaptive) Anthropic	Anthropic	Closed	Superseded	Reasoning	1M	$5.00 / $25.00	N/A	N/A	83	84	93	91	45	99	—	—	71	1502.38
18 Claude Sonnet 4.6 Anthropic	Anthropic	Closed	Current	Standard	200K	$3.00 / $15.00	44	1.48s	82	79	82	83	86	83	88	83	75	1471.74
19 DeepSeek V4 Pro (High) DeepSeek Self-host	DeepSeek	Open	Current	Reasoning	1M	$1.74 / $3.48	N/A	N/A	82	81	85	—	—	71	—	—	—	—
20 o1-preview OpenAI	OpenAI	Closed	Superseded	Reasoning	200K	$15.00 / $60.00	N/A	N/A	~82	86	78	89	68	81	82	77	94	1388.29
21 Gemini 3 Pro Google	Google	Closed	Established	Standard	2M	$2.00 / $12.00	109	32.65s	80	71	72	83	81	83	79	80	80	1485.74
22 Kimi K2.6 Moonshot AI Self-host	Moonshot AI	Open	Superseded	Reasoning	256K	$0.95 / $4.00	N/A	N/A	80	81	89	—	71	73	—	—	—	1460.23
23 GPT-5.2 OpenAI	OpenAI	Closed	Established	Reasoning	400K	$1.75 / $14.00	73	130.34s	79	60	78	84	82	91	96	85	81	1434.64
24 GLM-5 (Reasoning) Z.AI Self-host	Z.AI	Open	Current	Reasoning	200K	$1.00 / $3.20	N/A	N/A	~79	77	68	88	73	83	79	81	92	1455.62
25 MiniMax M3 MiniMax Self-host	MiniMax	Open	Current	Standard	1M	$0.30 / $1.20	N/A	N/A	78	85	82	—	48	—	—	—	—	1448.17

Showing 25 of 270

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Scoring Methodology

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

Each score includes a confidence indicator (1-4 dots) showing how much sourced benchmark data supports it — models with no non-generated benchmark coverage are marked as estimated.

Display-only benchmarks like MMLU, HumanEval, BBH, LisanBench, FLTEval, and the AIME/HMMT exams remain visible but are excluded from scoring.

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

Agentic22%

Terminal-Bench 2.0 · OSWorld-Verified · BrowseComp · GAIA · Tau-Bench · WebArena

Coding20%

SWE-Rebench · SWE-bench Pro · LiveCodeBench · SWE-bench Verified · SciCode

Reasoning17%

LongBench v2 · ARC-AGI-2 · MRCRv2 · MuSR

Multimodal12%

MMMU-Pro · OfficeQA Pro

Knowledge12%

HLE · MMLU-Pro · FrontierScience · SimpleQA · GPQA · SuperGPQA

Multilingual7%

MMLU-ProX · MGSM

Instruction Following5%

IFEval · IFBench

Math5%

FrontierMath · AIME 2025 · BRUMO 2025 · MATH-500

Compare frontier AI models by quality, cost, and context

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