AI Model Capability Comparison
Science & math
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 | 4/11 recent-year models have scores |
|---|---|---|---|---|
| 1 |  Claude Opus 5.5 | 73.1Claude Opus 5.5 | 69.6Claude Opus 5.5 | 63.3Claude Opus 5.5 |
| 2 |  GPT-6 Astra | 85.4GPT-6 Astra | 72GPT-6 Astra | 68.1GPT-6 Astra |
| 3 | GPT-6.1 Sol | — | — | — |
| 4 | Claude Fable 5.1 | 68.6Claude Fable 5.1 | 65.6Claude Fable 5.1 | 52.6Claude Fable 5.1 |
| 5 |  Gemini 4 Argon | 88.8Gemini 4 Argon | 76Gemini 4 Argon | 57.6Gemini 4 Argon |
| 6 | Claude Sonnet 5.5 | — | — | — |
| 7 | Claude Opus 5 | — | — | — |
| 8 | GPT-6 Sol | — | — | — |
| 9 | GPT-6 Luna | — | — | — |
| 10 | Claude Haiku 5.5 | — | — | — |
| 11 | Claude Mythos Preview | — | — | — |
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 ↗
LABBench 2 · Source date unknown
RiemannBench · Source date unknown
Terminal-Bench Science 0.1 · 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.
- LABBench 2Laboratory benchmark 2
- Tests biology research tasks, including scientific information and data analysis. Results depend on the tools available during evaluation. Evaluation methodology ↗
- RiemannBenchRiemann mathematics benchmark
- Tests research-level mathematics problems beyond ordinary competition exercises. Scores reflect performance on the benchmark rather than general mathematical mastery. Evaluation methodology ↗
- Terminal-Bench Science 0.1Scientific terminal benchmark 0.1
- Tests scientific research workflows carried out through terminal tools. The 0.1 version is separate from the general Terminal-Bench task 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.