AI Model Capability Comparison
Composite indexes
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. | Model | 3/11 recent-year models have scores | 3/11 recent-year models have scores |
|---|---|---|---|
| 1 |  Claude Opus 5.5 | — | — |
| 2 |  GPT-6 Astra | 51maxGPT-6 Astra (Max) | 76.9maxGPT-6 Astra (Max) |
| 3 | GPT-6.1 Sol | — | — |
| 4 | Claude Fable 5.1 | 57.9maxClaude Fable 5.1 (Max, Default Fallback) | 81.6maxClaude Fable 5.1 (Max, Default Fallback) |
| 5 |  Gemini 4 Argon | — | — |
| 6 | Claude Sonnet 5.5 | — | — |
| 7 | Claude Opus 5 | 56.5maxClaude Opus 5 (Max) | 78maxClaude Opus 5 (Max) |
| 8 | GPT-6 Sol | — | — |
| 9 | GPT-6 Luna | — | — |
| 10 | Claude Haiku 5.5 | — | — |
| 11 | Claude Mythos Preview | — | — |
Artificial Analysis indexes
Source: Artificial Analysis ↗
Artificial Analysis Agentic Index · Source date unknown
Artificial Analysis Coding Index · Source date unknown
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.
- Artificial Analysis Agentic IndexArtificial Analysis agent capability index
- Summarizes agentic evaluations involving tool use and multi-step task execution. Compare within the same index version. Evaluation methodology ↗
- Artificial Analysis Coding IndexArtificial Analysis coding index
- Summarizes performance on Artificial Analysis coding evaluations. Compare within the same index version. 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.