AI Model Capability Comparison
Long context
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 | 4/11 recent-year models have scores | 4/11 recent-year models have scores |
|---|---|---|---|
| 1 | 66.8256k to 1M, BFS (F1)Claude Opus 5.5 | 90.6Up to 128k, BFS (F1)Claude Opus 5.5 | |
| 2 | 71.8256k to 1M, BFS (F1)GPT-6 Astra | 98.7Up to 128k, BFS (F1)GPT-6 Astra | |
| 3 | — | — | |
| 4 | 65256k to 1M, BFS (F1)Claude Fable 5.1 | 91.4Up to 128k, BFS (F1)Claude Fable 5.1 | |
| 5 | 84.2256k to 1M, BFS (F1)Gemini 4 Argon | 99.7Up to 128k, BFS (F1)Gemini 4 Argon | |
| 6 | — | — | |
| 7 | — | — | |
| 8 | — | — | |
| 9 | — | — | |
| 10 | — | — | |
| 11 | — | — |
Google DeepMind (model card)
Source: Google DeepMind (model card) ↗
Google model card: publisher results and republished third-party scores, as of October 2026. See methodology for evaluation settings; these are not all independent evaluations. Evaluation methodology ↗
GraphWalks — 256k to 1M, BFS (F1) · Source date unknown
GraphWalks — Up to 128k, BFS (F1) · 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.
- GraphWalks — 256k to 1M, BFS (F1)Graph traversal — 256k to 1M, breadth-first search (F1)
- Tests breadth-first graph traversal in contexts from 256k to 1M tokens. F1 balances precision and recall; this is a separate length range from the 128k column. Evaluation methodology ↗
- GraphWalks — Up to 128k, BFS (F1)Graph traversal — up to 128k, breadth-first search (F1)
- Tests breadth-first graph traversal using contexts up to 128k tokens. F1 balances precision and recall of the returned node set. 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.