AI Model Capability Comparison
Knowledge work
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 | 4/11 recent-year models have scores |
|---|---|---|---|---|---|
| 1 |  Claude Opus 5.5 | 42.5ScoreClaude Opus 5.5 | 3.8Claude Opus 5.5 | 58.6Claude Opus 5.5 | 67Claude Opus 5.5 |
| 2 |  GPT-6 Astra | 41.4ScoreGPT-6 Astra | 5.4GPT-6 Astra | 53.5GPT-6 Astra | 63.1GPT-6 Astra |
| 3 | GPT-6.1 Sol | — | — | — | — |
| 4 | Claude Fable 5.1 | 31.4ScoreClaude Fable 5.1 | 6.7Claude Fable 5.1 | 58.9Claude Fable 5.1 | 65.8Claude Fable 5.1 |
| 5 |  Gemini 4 Argon | 51.3ScoreGemini 4 Argon | 19.6Gemini 4 Argon | 65.4Gemini 4 Argon | 68.9Gemini 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 ↗
AutomationBench — Score · Source date unknown
Harvey's Legal Agent Benchmark · Source date unknown
Vals Finance Agent v2 · Source date unknown
Vals 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.
- AutomationBench — ScoreAutomation benchmark — score
- Tests whether an agent completes business workflows across multiple applications. Official scores use a private task set and check the final state of the workflow. Evaluation methodology ↗
- Harvey's Legal Agent BenchmarkHarvey legal agent benchmark
- Tests agents reading and editing files to produce multi-step legal work products. A task passes only when every grading requirement is met. The score is the average task pass rate from two judges; higher is better. It is not the percentage of individual criteria passed, and it measures legal agent workflows rather than LegalBench's legal reasoning questions. Evaluation methodology ↗
- Vals Finance Agent v2Vals finance agent v2
- Tests financial analysis with search, financial reports and calculation tools, including cross-document data checks, company performance comparisons and valuation. The main metric is Partial Credit, averaged over three runs: answer checks receive severity-based weights, and a critical dealbreaker error makes that question score zero. Higher is better. This is distinct from the separate All-Pass metric and is not whole-question pass rate. Evaluation methodology ↗
- Vals IndexVals composite index
- A composite index of professional tasks in areas such as finance, coding and law. Its percentage score combines benchmark results using the weighting method for that published version; higher means stronger overall performance, not the accuracy of a single task. Included domains and weights change across versions, so newer methodology must not be applied retrospectively to older score snapshots. 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.