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Why Parameter Count Alone Cannot Predict Frontier AI Model Performance: Alibaba's 5-10 Trillion Parameter Roadmap Explains the Capability Gap
Technology

Why Parameter Count Alone Cannot Predict Frontier AI Model Performance: Alibaba's 5-10 Trillion Parameter Roadmap Explains the Capability Gap

Key Takeaways Parameter count is a necessary but insufficient proxy for AI model capability; architecture, training data, and inference efficiency matter equall...

7 min read

Tracked Data

AI Intelligence Index — Top 3 Frontier Models

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01632476305-1706-0106-0807-0607-1307-2007-2708-0308-1008-1708-2408-3109-0709-1409-2110-0510-12Claude Opus 4.7 (Adaptive Reasoning, Max Effort) — Anthropic: 57 (2026-05-17)Claude Opus 4.8 (Adaptive Reasoning, Max Effort) — Anthropic: 61 (2026-06-01)Claude Opus 4.8 (Adaptive Reasoning, Max Effort) — Anthropic: 61 (2026-06-08)Claude Opus 4.8 (Adaptive Reasoning, Max Effort) — Anthropic: 56 (2026-07-06)Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) — Anthropic: 60 (2026-07-13)Claude Fable 5 (Adaptive Reasoning, Max Effort, Opus 4.8 Fallback) — Anthropic: 59.9 (2026-07-20)Claude Opus 5 (Adaptive Reasoning, Max Effort) — Anthropic: 61 (2026-07-27)Claude Opus 5 (Adaptive Reasoning, Max Effort) — Anthropic: 61 (2026-08-03)Claude Opus 5 (Adaptive Reasoning, Max Effort) — Anthropic: 63 (2026-08-10)Claude Opus 5 (Adaptive Reasoning, Max Effort) — Anthropic: 63 (2026-08-17)Claude Opus 5 (Adaptive Reasoning, Max Effort) — Anthropic: 63 (2026-08-24)Claude Opus 5 (Adaptive Reasoning, Max Effort) — Anthropic: 63 (2026-08-31)Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) — Anthropic: 57 (2026-09-07)Claude Fable 5.1 (Adaptive Reasoning, Max Effort, Default Fallback) — Anthropic: 53 (2026-09-14)Claude Fable 5.1 (Adaptive Reasoning, Max Effort) — Anthropic: 53 (2026-09-21)Claude Opus 5.5 (Max, Default Fallback) — Anthropic: 58 (2026-10-05)Claude Opus 5.5 (Max, Default Fallback) — Anthropic: 58 (2026-10-12)58GPT-5.5 (xhigh) — OpenAI: 60 (2026-05-17)GPT-5.5 (xhigh) — OpenAI: 60 (2026-06-01)GPT-5.5 (xhigh) — OpenAI: 60 (2026-06-08)GPT-5.5 (xhigh) — OpenAI: 55 (2026-07-06)GPT-5.6 Sol (max) — OpenAI: 59 (2026-07-13)GPT-5.6 Sol (max) — OpenAI: 58.9 (2026-07-20)GPT-5.6 Sol (max) — OpenAI: 59 (2026-07-27)GPT-5.6 Sol (max) — OpenAI: 59 (2026-08-03)GPT-5.6 Sol (max) — OpenAI: 61 (2026-08-10)GPT-5.6 Sol (max) — OpenAI: 61 (2026-08-17)GPT-5.6 Sol (max) — OpenAI: 61 (2026-08-24)GPT-5.6 Sol (max) — OpenAI: 61 (2026-08-31)GPT-6 Astra (max) — OpenAI: 55 (2026-09-07)GPT-6 Astra (max) — OpenAI: 53 (2026-09-14)GPT-6 Astra (max) — OpenAI: 53 (2026-09-21)GPT-6 Astra (Max) — OpenAI: 53 (2026-10-05)GPT-6 Astra (Max) — OpenAI: 53 (2026-10-12)53Gemini 3.1 Pro Preview — Google DeepMind: 57 (2026-05-17)Gemini 3.1 Pro Preview — Google DeepMind: 57 (2026-06-01)Gemini 3.1 Pro Preview — Google DeepMind: 57 (2026-06-08)Gemini 3.1 Pro Preview — Google DeepMind: 46 (2026-07-06)Gemini 3.5 Flash (high) — Google DeepMind: 55 (2026-07-13)Gemini 3.1 Pro Preview — Google DeepMind: 46 (2026-07-20)Gemini 3.6 Flash (high) — Google DeepMind: 50 (2026-07-27)Gemini 3.6 Flash (high) — Google DeepMind: 50 (2026-08-03)Gemini 3.6 Flash (high) — Google DeepMind: 52 (2026-08-10)Gemini 3.7 Flash (high) — Google DeepMind: 56 (2026-08-17)Gemini 3.7 Flash (high) — Google DeepMind: 56 (2026-08-24)Gemini 3.7 Flash (high) — Google DeepMind: 56 (2026-08-31)Gemini 3.8 Flash (high) — Google DeepMind: 59 (2026-09-07)Gemini 3.8 Flash (high) — Google DeepMind: 41 (2026-09-14)Gemini 3.1 Pro Preview — Google DeepMind: 30 (2026-09-21)Gemini 4 Argon (High) — Google DeepMind: 53 (2026-10-05)Gemini 4 Argon (High) — Google DeepMind: 53 (2026-10-12)53
  • Anthropic
  • OpenAI
  • Google DeepMind

Intelligence Index — Trend

※ Hover over each point to see the specific model version at that date.

Last updated: 2026-10-12 · 17 data points · artificialanalysis.ai

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