2026 Global Top 10 AI Models: In-Depth Comparison Report

Forum topic · ✨步子哥 · 2026-06-11

Summary

This forum post presents a deep-research comparison of the world's top 10 AI models as of June 2026, aggregating evaluation data from BenchLM.ai, LM Market Cap, Artificial Analysis, and Google DeepMind. Models are ranked by a provisional overall score weighted across eight benchmark categories: agentic tasks (22%), coding (20%), reasoning (17%), knowledge (12%), multimodal (12%), multilingual (7%), instruction following (5%), and math (5%). Anthropic's Claude Mythos 5 leads at 99 points, ranking #1 in coding, agentic, and reasoning tasks with an 80.3% SWE-bench Pro score, followed by Claude Fable 5 (96) and Claude Opus 4.8 (94). Google's Gemini 3.1 Pro (92) posts the strongest scientific reasoning (GPQA Diamond 94.3%) and best Human's Last Exam score (44.4%). Alibaba's Qwen3.7 Max (91) leads multilingual capability and scores 97.1% on HMMT math. OpenAI's GPT-5.4 Pro (91) tops multimodal understanding with 94% on MMMU-Pro and OSWorld computer control at 75%. Other entries include GPT-5.5, Gemini 3 Pro Deep Think, xAI's Grok 4.1 (2M context, best price-performance at $0.5/M output tokens), and GPT-5.4. The report also covers pricing comparisons and per-scenario model recommendations.

Key points

This post is a data-driven comparison of the top 10 AI models globally, based on multi-source benchmark data (BenchLM.ai, LM Market Cap, Artificial Analysis, Google DeepMind), with data current to June 9, 2026.

Scoring methodology

Provisional Overall score = weighted average of 8 benchmark categories:
Agentic 22% | Coding 20% | Reasoning 17% | Knowledge 12% | Multimodal 12% | Multilingual 7% | Instruction following 5% | Math 5%

Overall ranking (Top 10)

| # | Model | Provider | Score | Highlights | |---|-------|----------|-------|------------| | 1 | Claude Mythos 5 | Anthropic | 99 | #1 coding/agentic/reasoning; SWE-bench Pro 80.3%; 1M+ ctx | | 2 | Claude Fable 5 | Anthropic | 96 | SWE-bench Pro 80.0%; MMMU-Pro 92.7%; 1M+ ctx | | 3 | Claude Opus 4.8 | Anthropic | 94 | SWE-bench Pro 69.2%; HumanEval 95.2%; $25/M out | | 4 | Gemini 3.1 Pro | Google | 92 | GPQA Diamond 94.3%; strongest native multimodal; $12/M out | | 5 | Qwen3.7 Max | Alibaba | 91 | HMMT 97.1% math; #1 multilingual; $7.5/M out | | 6 | GPT-5.4 Pro | OpenAI | 91 | MMMU-Pro 94%; OSWorld 75%; $180/M out | | 7 | GPT-5.5 | OpenAI | 90 | SWE-bench Pro 58.6%; Terminal-Bench 82.7%; $30/M out | | 8 | Gemini 3 Pro Deep Think | Google | 90 | Deep Think reasoning; MATH 89.7%; 2M ctx | | 9 | Grok 4.1 | xAI | 89 | 2M context; best value (8.3/10); $0.5/M out | | 10 | GPT-5.4 | OpenAI | 88 | Balanced (#2 across all categories); OSWorld 75%; $15/M out |

Benchmark table (available scores)

| Model | SWE-bench Pro | HumanEval | MMMU-Pro | GPQA Diamond | HLE | MATH | SimpleBench | |-------|--------------|-----------|----------|--------------|-----|------|-------------| | Claude Mythos 5 | 80.3% | — | 92.7% | — | — | — | — | | Claude Fable 5 | 80.0% | — | 92.7% | — | — | — | — | | Claude Opus 4.8 | 69.2% | 95.2% | — | — | — | — | — | | Gemini 3.1 Pro | 54.2% | 91.6% | 80.5% | 94.3% | 44.4% | 89.7% | 87.4% | | Qwen3.7 Max | 60.6% | — | 79% | 92.3% | 41.4% | 97.1% (HMMT) | — | | GPT-5.4 Pro | — | — | 94% | — | — | — | — | | GPT-5.5 | 58.6% | — | 81.2% | — | — | — | — |

(Scores not listed in the source post are marked with —.)

Notable observations

Anthropic dominates the top 3, with Claude Mythos 5 leading coding, agentic, and reasoning categories.
Gemini 3.1 Pro is the most complete across widely reported benchmarks, leading scientific reasoning (GPQA Diamond) and HLE.
Qwen3.7 Max stands out on multilingual tasks and competition math at a mid-range price point ($7.5/M output tokens).
Grok 4.1 offers the best price-performance ratio with a 2M-token context window at $0.5/M output tokens.
GPT-5.4 Pro is the most expensive listed model ($180/M output tokens) but tops multimodal understanding and computer control (OSWorld 75%).

*Note: This is a translated summary of the original Chinese forum post; the source is a styled HTML report and some sections were truncated.*