Major Large Language Models (LLMs) of 2026: Ranked by Capability, Sized by Parameters

In 2026, the large language model race looks nothing like it did even two years ago. Frontier labs have largely stopped publishing exact parameter counts, mixture-of-experts architectures have made “total” and “active” parameters two very different numbers, and raw scale is no longer a reliable proxy for capability. Even so, size still shapes what a model can do — training cost, inference economics, and context-window ceilings all trace back to it. This list ranks the 15 LLMs currently defining the conversation, ordered by real-world capability, with each model’s scale — in billions of parameters — charted alongside it.

A note on the numbers: Anthropic, OpenAI, Google DeepMind, and xAI no longer disclose exact parameter counts for their frontier models. Figures for those labs below are widely-cited third-party estimates (primarily from LifeArchitect.ai’s Models Table) rather than official disclosures. Open-weight labs — DeepSeek, Alibaba, Meta, Mistral, Moonshot, and Zhipu — publish exact counts, including the “active” parameters actually used per token in their mixture-of-experts (MoE) architectures.

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  "title": "Major LLMs of 2026 — Parameters by Model (Billions)",
  "categories": ["Claude Opus 5", "Claude Fable 5", "GPT-5.6 Sol", "Gemini 3.1 Pro", "Grok 4.3", "Kimi K3", "Qwen3.7-Max", "Llama 4 Behemoth", "DeepSeek-V4-Pro", "GLM-5.2", "Mistral Large 3", "DeepSeek-V3", "Llama 4 Maverick", "Claude Sonnet 5", "GPT-4"],
  "series": [{"name": "Parameters (B)", "data": [5000, 5000, 3000, 3000, 3000, 2800, 2000, 2000, 1600, 744, 675, 685, 400, 200, 1760]}],
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Chart: total parameters in billions, ordered by capability rank (not size) — note how several lower-ranked open-weight models are larger by raw parameter count than higher-ranked closed models.

The Top 15 LLMs of 2026, Ranked

1. Claude Opus 5 — Anthropic

Released: 2026 · Parameters: ~5 trillion (estimated; Anthropic does not disclose exact figures)

Claude Opus 5 currently holds the top spot on public intelligence rankings, edging out its sibling Claude Fable 5 by a narrow margin and OpenAI’s GPT-5.6 Sol by roughly three percent. It’s the flagship of Anthropic’s Claude 5 family, built for the hardest reasoning, coding, and agentic workloads where reliability matters more than raw speed.

2. Claude Fable 5 — Anthropic

Released: 2026 · Parameters: ~5 trillion (estimated)

Fable 5 sits essentially tied with Opus 5 at the top of the leaderboard, giving Anthropic two models in the top two spots simultaneously — an unusual position for any single lab in 2026’s crowded frontier.

3. GPT-5.6 Sol — OpenAI

Released: 2026 · Parameters: ~3 trillion (estimated)

OpenAI’s GPT-5.6 Sol leads on math and formal reasoning benchmarks and posts one of the highest Arena Elo scores of any model tracked, overtaking rivals within weeks of its mid-2026 release.

4. Gemini 3.1 Pro — Google DeepMind

Released: late 2025 · Parameters: ~3 trillion (estimated)

Gemini 3.1 Pro remains Google DeepMind’s flagship for native multimodality and long-context work, and has held a consistent top-tier Arena Elo position through most of 2026.

5. Grok 4.3 — xAI

Released: late 2025 / 2026 · Parameters: ~3 trillion (estimated)

xAI’s Grok line differentiates on real-time data access via X, and Grok 4.3 has repeatedly landed inside the top tier of Arena rankings alongside Anthropic, OpenAI, and Google.

6. Kimi K3 — Moonshot AI

Released: July 2026 · Parameters: 2.8 trillion total, ~50B active per token (Stable LatentMoE, 16-of-896 experts)

Kimi K3 is the largest open-weight model on this list by total parameter count, and shipped with a 1-million-token context window and fully open weights — putting real trillion-scale MoE architecture in the hands of anyone who can host it.

7. Qwen3.7-Max — Alibaba

Released: 2026 · Parameters: ~2 trillion

Qwen3.7-Max is Alibaba’s largest release to date and a clear signal that China’s open-weight labs are no longer chasing the frontier from a distance — they’re shipping trillion-parameter models on a similar timeline to the closed labs.

8. Llama 4 Behemoth — Meta AI

Released: preview, 2025–2026 · Parameters: ~2 trillion

Behemoth is Meta’s largest Llama 4 variant, used primarily as a teacher model to distill the smaller, publicly-released Scout and Maverick checkpoints — it has been previewed but has not shipped as a standalone public release.

9. DeepSeek-V4-Pro — DeepSeek-AI

Released: 2026 · Parameters: 1.6 trillion total (mixture-of-experts)

DeepSeek-V4-Pro continues the lab’s pattern of matching frontier-tier benchmark performance at a fraction of the training and serving cost of its closed-source competitors.

10. GLM-5.2 — Zhipu AI

Released: 2026 · Parameters: 744 billion total, ~40B active (MoE, 1M-token context)

GLM-5.2 has emerged as one of the two leading open-weight coding models in 2026, trading benchmark wins back and forth with Kimi K3 on agentic coding tasks.

11. Mistral Large 3 — Mistral AI

Released: December 2025 · Parameters: 675 billion total, 41B active (MoE)

Mistral Large 3 is fully open under an Apache 2.0 license — the most permissive terms of any near-frontier model on this list — with a 256K-token context window.

12. DeepSeek-V3 — DeepSeek-AI

Released: late 2024 · Parameters: 685 billion total, 37B active (MoE)

DeepSeek-V3 (and the R1 reasoning model that followed it) triggered what’s now commonly called the “DeepSeek moment” — proof that a fraction of Big Tech’s compute budget could produce a genuinely frontier-competitive model, resetting how every lab on this list thinks about training efficiency.

13. Llama 4 Maverick — Meta AI

Released: 2025 · Parameters: 400 billion total, 17B active (MoE, 128 experts)

Maverick, not Behemoth, is the Llama 4 model people actually run — it’s openly available, and its low active-parameter count relative to its total size makes it comparatively cheap to serve, making it one of the most widely deployed open models of the year.

14. Claude Sonnet 5 — Anthropic

Released: 2026 · Parameters: undisclosed, estimated well below the Opus/Fable tier

Sonnet 5 is Anthropic’s cost-performance tier — smaller and faster than Opus 5 or Fable 5, but built on the same model family, and the default choice for high-volume production workloads where every token’s cost matters.

15. GPT-4 — OpenAI

Released: March 2023 · Parameters: ~1.76 trillion (widely-cited estimate; never officially confirmed)

GPT-4 no longer competes on any current leaderboard, but it’s included here as a scale reference point: the model that kicked off the modern frontier race, at a size several of 2025’s open-weight models have only recently caught up to.

Sources & Further Reading

• The Rise of Generative AI — Information is Beautiful — the visualization this article’s chart format is inspired by.
• Underlying model dataset (Google Sheets) — the raw spreadsheet behind the Information is Beautiful chart.
• LifeArchitect.ai Models Table — the primary source for parameter counts used in this article.
• Kimi K3 vs. DeepSeek-V4-Pro vs. GLM-5.2 — MarkTechPost — comparison of 2026’s leading open-weight trillion-scale MoE models.
• Mistral Large 3 vs. Llama 4 Maverick — Artificial Analysis — independent benchmark comparison.