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.
Vals Finance Agent v2Vals finance agent v2
— means no published score for this candidate in this source, not zero.10/11 recent-year models have scores
| No. | Model | Cost / TestCost per test | Input costInput price per million tokens | Output costOutput price per million tokens | DurationReported test duration | |
|---|---|---|---|---|---|---|
| 1 | 65.4 | $4.38 | $4 | $20 | 16.35 min | |
| 2 | 58.88 | $8.35 | $10 | $50 | 18.23 min | |
| 3 | 58.63 | $5.12 | $5 | $25 | 9.97 min | |
| 4 | 58.59 | $9.22 | $4 | $20 | 33.13 min | |
| 5 | 58.1 | $6.55 | $2 | $10 | 31.72 min | |
| 6 | 54.14 | $1.64 | $0.1 | $0.5 | 30.82 min | |
| 7 | 53.54 | $6.82 | $10 | $50 | 11.55 min | |
| 8 | 52.03 | $1.62 | $2 | $10 | 15.42 min | |
| 9 | 49.87 | $0.12 | $0.1 | $0.5 | 14.97 min | |
| 10 | 49.05 | $2.12 | $2 | $10 | 9 min |
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.
- Cost / Test
- Cost per test · USD
- Input cost
- Input price per million tokens · USD / 1M tokens
- Output cost
- Output price per million tokens · USD / 1M tokens
- Duration
- Reported test duration · s / min
- Vals.ai
- Costs and times are reported by Vals for this benchmark, not universal model prices or latency. CUA-bench estimated API cost covers evaluation usage and is a lower-bound estimate, not cost per task; time per action is an average, not a median. An asterisk marks launch-day prompt-cache behavior that increased cache-write costs. Missing values are unpublished, not zero.
- 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 ↗
- 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 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 ↗
- LegalBenchLegal reasoning benchmark
- Tests understanding and reasoning over legal text, including identifying legal issues, recalling and applying rules, and judging legal conclusions. The score is accuracy on legal reasoning questions; higher is better. Unlike Harvey's Legal Agent Benchmark, it does not measure an agent producing multi-step legal work products by editing files. Evaluation methodology ↗