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.ModelCost / TestCost per testInput costInput price per million tokensOutput costOutput price per million tokensDurationReported test duration
1Google DeepMindGemini 4 ArgonGemini 4 Argon65.4$4.38$4$2016.35 min
2AnthropicClaude Fable 5.1Claude Fable 5.158.88$8.35$10$5018.23 min
3AnthropicClaude Opus 5Claude Opus 558.63$5.12$5$259.97 min
4AnthropicClaude Opus 5.5Claude Opus 5.558.59$9.22$4$2033.13 min
5AnthropicClaude Sonnet 5.5Claude Sonnet 5.558.1$6.55$2$1031.72 min
6AnthropicClaude Haiku 5.5Claude Haiku 5.554.14$1.64$0.1$0.530.82 min
7OpenAIGPT-6 AstraGPT-6 Astra53.54$6.82$10$5011.55 min
8OpenAIGPT-6.1 SolGPT-6.1 Sol52.03$1.62$2$1015.42 min
9OpenAIGPT-6 LunaGPT-6 Luna49.87$0.12$0.1$0.514.97 min
10OpenAIGPT-6 SolGPT-6 Sol49.05$2.12$2$109 min

Vals.ai benchmarks

Source: Vals.ai ↗ · Updated 2026-10-19

Vals Finance Agent v2 · Updated 2026-10-18

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 Missing values are unpublished, not zero.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 ↗