Anthropic
availableShows if the model has enough results for an index.Claude Opus 4.6 (Adaptive)
Claude Opus 4.6 (Adaptive) is a reasoning model from Anthropic in the Claude Opus 4.6 family. 18 benchmarks count toward its score, in 7 categories.
IndexOverall score out of 100.62.2 ±4.3
CoverageShare of the index weight with results.95%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.N/A
Output / 1MUS dollars per 1M output tokens.N/A
ContextMaximum tokens in one request.1M
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
18 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| AIME | Math | 95.6% | 58.3 | — | 16 Apr 2026 | Vals AI |
| Artificial Analysis Global-MMLU-Lite | Multilingual | 92.2% | — | — | — | Artificial Analysis |
| τ²-Bench Tool-Agent-User Evaluation | Agentic | 92.1% | 64.9 | — | — | Victor Barres et al. |
| GPQA Diamond | Knowledge | 89.6% | 61.0 | — | 1 Sept 2026 | Vals AI |
| Artificial Analysis GPQA Diamond | Knowledge | 89.6% | 60.4 | — | — | Artificial Analysis |
| MMLU Pro | Knowledge | 89.1% | 60.9 | — | 1 Sept 2026 | Vals AI |
| LiveCodeBench | Coding | 84.7% | 61.3 | — | 1 Sept 2026 | Vals AI |
| MMMU Pro | Multimodal | 83.9% | 63.8 | — | 1 Sept 2026 | Vals AI |
| SWE-bench | Coding | 78.2% | 60.3 | — | 1 Sept 2026 | Vals AI |
| Artificial Analysis Long Context Reasoning | Reasoning | 78.0% | 62.2 | — | — | Artificial Analysis |
| Artificial Analysis MMMU-Pro | Multimodal | 75.4% | 59.2 | — | — | Artificial Analysis |
| Terminal-Bench 2.0 | Agentic | 58.4% | 64.4 | — | 4 Jun 2026 | Vals AI |
| Vibe Code Bench v1.1 | Coding | 53.5% | 64.4 | OpenHands | 21 Sept 2026 | Vals AI |
| Artificial Analysis IFBench | Instruction | 53.1% | 43.0 | — | — | Artificial Analysis |
| Artificial Analysis Omniscience Accuracy | Knowledge | 47.0% | 72.0 | — | — | Artificial Analysis |
| Artificial Analysis Humanity's Last Exam | Knowledge | 39.9% | 67.8 | — | — | Artificial Analysis |
| APEX-Agents-AA | Agentic | 33.0% | 67.1 | — | — | Artificial Analysis / Mercor |
| Artificial Analysis Intelligence Index | Knowledge | 31.9% | 62.4 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 12.6% | 64.8 | — | — | Artificial Analysis |
18 benchmarks count, from 18 of 19 results. A grey row does not count. Too few models took that benchmark.