AI Model Capability Comparison

ML engineering

Only models released within the past year are shown. Only benchmarks covering at least 3 of these models are shown. Unknown release dates are excluded; historical data is retained.

— means no published score for this candidate in this source, not zero.

No.Model10/11 recent-year models have scores
1AnthropicClaude Opus 5.531.2xhigh · claude_codeclaude-opus-5-5_xhigh
2OpenAIGPT-6 Astra42.22xhigh · codex_cligpt-6-astra_xhigh
3OpenAIGPT-6.1 Sol38.25xhigh · codex_cligpt-6.1-sol_xhigh
4AnthropicClaude Fable 5.125.97xhigh · claude_codeclaude-fable-5-1_xhigh
5Google DeepMindGemini 4 Argon20.22high · gemini_cligemini-4-argon_high
6AnthropicClaude Sonnet 5.519.94xhigh · claude_codeclaude-sonnet-5-5_xhigh
7AnthropicClaude Opus 519.01xhigh · claude_codeclaude-opus-5_xhigh
8OpenAIGPT-6 Sol19.73xhigh · codex_cligpt-6-sol_xhigh
9OpenAIGPT-6 Luna7.87xhigh · codex_cligpt-6-luna_xhigh
10AnthropicClaude Haiku 5.511.7xhigh · claude_codeclaude-haiku-5-5_xhigh
11AnthropicClaude Mythos Preview—

Epoch AI benchmarks

Source: Epoch AI, CC BY 4.0 ↗ · Updated 2026-10-15

WeirdML v3 · Updated 2026-10-12

PandaNpc Updated Oct 21, 2026, 06:01 UTC

Source: Epoch AI, CC BY 4.0 · Vals.ai · Artificial Analysis (artificialanalysis.ai)

Column guide

No.
Display order only. Sorting changes this number; it is not a published capability rank.
Model
The evaluated model name and its provider icon. A dash in a score column means no published score is available here, not a zero.
WeirdML v3Unconventional machine learning v3
Tests machine learning and data analysis on unfamiliar tasks with limited feedback. Its composite progress score is not ordinary classification accuracy. Evaluation methodology ↗

Read scores within the same benchmark, source and version. Higher values indicate stronger performance on the reported metric, but different columns do not share a common scale.