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258 models · 247 benchmarks

Compare frontier AI models by quality, cost, and context

123 provisional-ranked models, 32 verified-ranked models, and 258 tracked LLMs. The most comprehensive LLM comparison tool — 247 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 13, 2026

The BenchLM LLM leaderboard 2026 provisionally ranks 123+ models and tracks 258+ large language models side by side across 247 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.

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The AI Race
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Current Crown(model released this month)

Claude Mythos 5

Anthropic

99

Provider Podium

1st
Anthropic96.3
2nd
OpenAI89
3rd
Google88.7
6 months tracked132 total releases5 crown changes

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.

258 models
Provisional-ranked mode includes source-unverified non-generated benchmark evidence.Score confidence:Full sourced coverageGood sourced coverageLimited sourced coverageEstimated
1
AnthropicClosedCurrentReasoning1M+$10.00 / $50.00N/AN/A991001009910010091
2
AnthropicClosedCurrentReasoning1M+$10.00 / $50.00N/AN/A9710010079100100931510.36
3
AnthropicClosedCurrentReasoning1M$5.00 / $25.00N/AN/A93969866991477.37
GoogleClosedCurrentStandard1M$2.00 / $12.0010929.71s91829396849410093681487.08
5
AlibabaClosedCurrentReasoning1MN/AN/AN/A918792958684931474.28
OpenAIClosedCurrentReasoning1.05M$30.00 / $180.0074151.79s909091981006094931478.96
7
GPT-5.5
OpenAI
OpenAIClosedCurrentReasoning1M$5.00 / $30.00N/AN/A899683965896961473.75
GoogleClosedCurrentReasoning2MN/AN/AN/A~89947389100878282951486.39
xAIClosedSupersededStandard1MN/AN/AN/A~8977829898949791991459.57
10
GPT-5.4
OpenAI
OpenAIClosedSupersededReasoning1.05M$2.50 / $15.0074151.79s88858796609910096941467.65
11
AlibabaClosedCurrentReasoning1MN/AN/AN/A88858810076798096
12
AnthropicClosedSupersededStandard1M$5.00 / $25.00401.78s86818688779010095861497.99
GoogleClosedCurrentReasoning1M$1.50 / $9.00284.218.55s869577798082781476.82
DeepSeekOpenCurrentReasoning1M$1.74 / $3.48N/AN/A86889077
OpenAIClosedCurrentReasoning400K$1.75 / $14.007988.26s~85778793969297911001416
AnthropicClosedSupersededReasoning1M$5.00 / $25.00N/AN/A8486949145100711502.15
Z.AIOpenCurrentReasoning203K$1.40 / $4.40N/AN/A828083658492891475.21
AnthropicClosedCurrentStandard200K$3.00 / $15.00441.48s8279828386828883761470.72
DeepSeekOpenCurrentReasoning1M$1.74 / $3.48N/AN/A82828671
20
OpenAIClosedSupersededReasoning200K$15.00 / $60.00N/AN/A~8288798968808277941388.27
21
Moonshot AIOpenSupersededReasoning256K$0.95 / $4.00N/AN/A81839071731461.83
22
GoogleClosedEstablishedStandard2M$2.00 / $12.0010932.65s8071728281827980801485.91
MiniMaxOpenCurrentStandard1M$0.30 / $1.20N/AN/A798585481451.45
24
GLM-5 (Reasoning)
Z.AI
Self-host
Z.AIOpenCurrentReasoning200K$1.00 / $3.20N/AN/A~7977698773817981921455.62
25
GPT-5.2
OpenAI
OpenAIClosedEstablishedReasoning400K$1.75 / $14.0073130.34s7859798482919685811434.84
Showing 25 of 258

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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