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

*Report date: June 11, 2026 — Data as of June 9, 2026. Originally published on zhichai.net; content below summarizes the interactive report.*

The report systematically compares the 10 best-performing AI models worldwide across coding, multimodal, and reasoning capabilities, drawing on multi-source benchmark data from BenchLM.ai, LM Market Cap, Artificial Analysis, and Google DeepMind.

Scoring method: A provisional overall score based on a weighted average of 8 benchmark categories — agentic 22%, coding 20%, reasoning 17%, knowledge 12%, multimodal 12%, multilingual 7%, instruction-following 5%, math 5%.

Key points

• #1 Claude Mythos 5 (Anthropic, 99) — Closed-source, 1M+ context. Ranks #1 in coding, agentic tasks, and reasoning; leads SWE-bench Pro at 80.3%.
• #2 Claude Fable 5 (Anthropic, 96) — Closed-source, 1M+ context. #2 in coding and agentic tasks; 80.0% SWE-bench Pro, 92.7% MMMU-Pro.
• #3 Claude Opus 4.8 (Anthropic, 94) — 1M context; best HumanEval score of 95.2%, 69.2% SWE-bench Pro, $25/M output tokens.
• #4 Gemini 3.1 Pro (Google, 92) — Strongest native multimodal performance; GPQA Diamond 94.3%, HLE 44.4%, $12/M output.
• #5 Qwen3.7 Max (Alibaba, 91) — #1 in multilingual; HMMT math 97.1%; $7.5/M output.
• #6 GPT-5.4 Pro (OpenAI, 91) — Best MMMU-Pro multimodal score (94%); OSWorld computer control 75%; premium pricing at $180/M output.
• #7 GPT-5.5 (OpenAI, 90) — 58.6% SWE-bench Pro; leading Terminal-Bench score of 82.7%; $30/M output.
• #8 Gemini 3 Pro Deep Think (Google, 90) — Deep-reasoning mode; MATH 89.7%; 2M-token context.
• #9 Grok 4.1 (xAI, 89) — 2M-token context; best value rating (8.3/10) at $0.5/M output tokens.
• #10 GPT-5.4 (OpenAI, 88) — Well-balanced all-rounder (#2 across categories); OSWorld 75%; $15/M output.

Benchmark highlights

• SWE-bench Pro (engineering coding): Claude Mythos 5 leads at 80.3%, followed closely by Claude Fable 5 (80.0%), Claude Opus 4.8 (69.2%), Qwen3.7 Max (60.6%), GPT-5.5 (58.6%), Gemini 3.1 Pro (54.2%).
• HumanEval (code generation): Claude Opus 4.8 tops the table at 95.2%; Gemini 3.1 Pro scores 91.6%.
• MMMU-Pro (multimodal): GPT-5.4 Pro leads at 94%; Claude models tie at 92.7%; GPT-5.5 at 81.2%; Gemini 3.1 Pro at 80.5%; Qwen3.7 Max at 79%.
• GPQA Diamond (scientific reasoning): Gemini 3.1 Pro leads at 94.3%; Qwen3.7 Max at 92.3%.
• HLE (Humanity's Last Exam): Gemini 3.1 Pro 44.4%; Qwen3.7 Max 41.4%.
• Math: Qwen3.7 Max leads HMMT at 97.1%; Gemini models score 89.7% on MATH.
• SimpleBench (general reasoning): Gemini 3.1 Pro 87.4%.

Notable trade-offs

• Anthropic dominates coding, agentic, and reasoning workloads, occupying the top three spots.
• Google Gemini models lead science reasoning, HLE, and deep-reasoning use cases with generous context windows (up to 2M tokens).
• Alibaba's Qwen3.7 Max offers the strongest multilingual and math performance at competitive pricing.
• xAI's Grok 4.1 is the value pick with ultra-long 2M context at $0.5/M output tokens, while OpenAI's GPT-5.4 Pro is the premium option at $180/M output for state-of-the-art multimodal and computer-control tasks.

*Note: The source post is an interactive HTML report; per-benchmark cells not published in the source are omitted rather than estimated. Specific scenario-based model recommendations and the full pricing comparison charts were truncated in the source and are only partially reflected above.*