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LLM leaderboard, July 2026

LLM Leaderboard & AI Model Benchmarks — July 2026

Compare frontier AI models by quality, cost, and context. 98 Supported and 100 Estimated models among 282 tracked LLMs — 296 benchmarks, real pricing, and runtime data in one place.

Data refreshed
July 14, 2026
Supported positions
98 ranked models
Ranking method
BenchAlign v5.1

The LLM leaderboard — July 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.

Reading the table

Use rank to shortlist, then inspect the evidence

Embed the live leaderboard

The BenchLM LLM leaderboard 2026 ranks 198+ models and tracks 282+ large language models side by side across 296 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.

Decision-ready picks

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

  • Best open weightHighest-scoring evidence-qualified current open-weight model.MiniMax M3MiniMax69.8overall scoreSupported · 2 source families
  • Best near-frontier value93% of the leading score at a lower output price.Claude Opus 4.8Anthropic$25output / 1M tokensSupported · 3 source families
  • Fastest measuredFastest externally measured model that also clears the ranking and evidence thresholds.Gemini 3.5 FlashGoogle284.2tokens / secArtificial Analysis · updated 2026-07-14
  • Largest useful contextLargest context among evidence-qualified current models retaining at least half of the leading score.Grok 4.20xAI2Mcontext windowEstimated · 1 source family
Qualification method

Dataset journal

What changed in July 2026

  • Claude Fable 5 (Anthropic) holds the #1 spot on the leaderboard at 91.
  • 12 model releases tracked in July 2026.
  • 33 models now carry fully verified rankings.
Data verified

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Scoring methodology

Scoring methodology8 weighted categories, 29 ranking benchmarks, and 217 display-only records.Inspect method

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 weights
100%
Scored categories
8
Ranking benchmarks
29
Display-only
217
  • Agentic22%

    Terminal-Bench 2.0 · BrowseComp · OSWorld-Verified

    3 weighted · 53 context-only

  • Coding20%

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

    5 weighted · 34 context-only

  • Reasoning17%

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

    4 weighted · 21 context-only

  • Multimodal12%

    MMMU-Pro · OfficeQA Pro · CharXiv

    3 weighted · 48 context-only

  • Knowledge12%

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

    6 weighted · 27 context-only

  • Multilingual7%

    MMLU-ProX

    1 weighted · 10 context-only

  • Instruction Following5%

    IFEval · IFBench

    2 weighted · 2 context-only

  • Math5%

    AIME26 · HMMT Feb 2026 · FrontierMath v2 (Tiers 1-3) · FrontierMath v2 (Tier 4) · USAMO 2026

    5 weighted · 22 context-only