HyperNova 60B 2605 (High, Based on gpt-oss-120b)
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aiqbench · LLM benchmarks
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55±2
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One grid, every column. Pick axes in the Axes panel — one axis ranks like a single board, several blend into a weighted composite, all of them read as the index. Rank is assigned before any filter and never renumbers.
| Model | Org | Interval | Swing | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | i | Add to compare | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 242 | HyperNova 60B 2605 (High, Based on gpt-oss-120b) | multiversecomputing | — | — | 56.3 75.3Ranked 56.3 = (1 × 75.3 + 3 × 50) ÷ 4. 75.3 is the mean percentile over the 1 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | — | — | 1/22low | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 75 | — | ||
| 268 | openai/gpt-oss-120b | OpenAI | — | — | 55.2 63.1Ranked 55.2 = (2 × 63.1 + 3 × 50) ÷ 5. 63.1 is the mean percentile over the 2 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 52–58 | 15 | 2/22low | #152–268 | — | — | — | — | — | — | — | 56 | 71 | — | — | — | — | — | — | — | — | — | — | — | — | — | ||
| 465 | gpt-oss-120b | openai | Aug 2025 | $0.15 / $0.60 | 48.7 48.2Ranked 48.7 = (8 × 48.2 + 3 × 50) ÷ 11. 48.2 is the mean percentile over the 8 of 22 selected axes this model is measured on; fewer axes means a stronger pull toward 50. | 48–49 | 89 | 8/22 | #137–465 | 50 | — | — | 13 | — | — | — | — | — | — | — | — | — | 9 | 47 | — | — | — | 72 | 98 | 81 | 16 |
Blend is coverage-shrunk; the raw composite is shown greyed beside it · A low badge means fewer than 3 boards scored this model