Vals Finance Index
Agents are scored on Finance Agent v2.1, Excel Modeling Benchmark v1.1 and Tax Agent Bench, combined with weights from each sub-sector share of US GDP.
Securities work (1.6% of GDP) averages Finance Agent and EMB. Tax work (0.5%) uses Tax Agent Bench all-pass accuracy. 35 models on 2026-10-29.
- Level
- Expert Specialists with years of training, often over hours of work
- Scored
- Graded by a model A language model scores each response, usually against a rubric.
- Answers
- Agent task Many steps in a terminal, browser, desktop, app, game or robot.
Gemini 4 Carbon leads with 67%
Best score per model from the benchmark's own leaderboard, read on 2 Nov 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
- 67.0
Gemini 4 Carbon
- 65.6 Claude Opus 5.5
- 64.9
Gemini 4 Argon
- 64.5
Muse Wonder Full
- 64.5 Claude Sonnet 5.5
- 61.7
Qwen3.8 Max (0902)
- 61.2
Muse Wonder
- 60.9
DeepSeek V4.1 Flash 1017
- 60.5 GLM-5.3
- 60.5
Gemini 3.8 Flash
- 58.5 Grok 4.7
- 58.0 Kimi K3
- 57.9 MiMo-V2.6 Pro
- 57.5
Tencent Hy4 preview
- 57.5 Claude Haiku 5.5
- 57.1 MiMo-V2.6 Flash
- 57.1
DeepSeek V4.1 Flash
- 57.0
Mistral Large 4 (Le Chonk, open weights)
- 56.9
Mistral Large 4
- 56.0 Kimi K3.1 Pro
- 55.9
MiniMax-M3.1-Flash
- 55.8 GLM-5.3-Flash
- 55.8 GPT-6.1 Sol
- 55.6 GPT-6 Astra
- 55.4
Step 5 Preview
- 53.3 GPT-6.1 Terra
- 53.0 GPT-6 Luna
- 53.0
Muse Spark Open
- 52.9
DeepSeek V4 Pro 0813
- 48.4
MiniMax-M3
- 47.2 Mercury 3
- 46.5 Beam 1.0
- 41.0
Nemotron 3.5 Super VL
- 38.3
Inkling
- 36.3
Inkling-Small
- 1
Gemini 4 Carbon 67%
- 2 Claude Opus 5.5 65.6%
- 3
Gemini 4 Argon 64.9%
- 4
Muse Wonder Full 64.5%
- 5 Claude Sonnet 5.5 64.5%
- 6
Qwen3.8 Max (0902) 61.7%
- 7
Muse Wonder 61.2%
- 8
DeepSeek V4.1 Flash 1017 60.9%
- 9 GLM-5.3 60.5%
- 10
Gemini 3.8 Flash 60.5%
- 11 Grok 4.7 58.5%
- 12 Kimi K3 58%
- 13 MiMo-V2.6 Pro 57.9%
- 14
Tencent Hy4 preview 57.5%
- 15 Claude Haiku 5.5 57.5%
- 16 MiMo-V2.6 Flash 57.1%
- 17
DeepSeek V4.1 Flash 57.1%
- 18
Mistral Large 4 (Le Chonk, open weights) 57%
- 19
Mistral Large 4 56.9%
- 20 Kimi K3.1 Pro 56%
- 21
MiniMax-M3.1-Flash 55.9%
- 22 GLM-5.3-Flash 55.8%
- 23 GPT-6.1 Sol 55.8%
- 24 GPT-6 Astra 55.6%
- 25
Step 5 Preview 55.4%
- 26 GPT-6.1 Terra 53.3%
- 27 GPT-6 Luna 53%
- 28
Muse Spark Open 53%
- 29
DeepSeek V4 Pro 0813 52.9%
- 30
MiniMax-M3 48.4%
- 31 Mercury 3 47.2%
- 32 Beam 1.0 46.5%
- 33
Nemotron 3.5 Super VL 41%
- 34
Inkling 38.3%
- 35
Inkling-Small 36.3%
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 67% | Oct 2026 | Official leaderboard | |
| 2 | Claude Opus 5.5 | 65.6% | Sep 2026 | Official leaderboard | |
| 3 | | 64.9% | Sep 2026 | Official leaderboard | |
| 4 | | 64.5% | Oct 2026 | Official leaderboard | |
| 5 | Claude Sonnet 5.5 | 64.5% | Sep 2026 | Official leaderboard | |
| 6 | | 61.7% | Sep 2026 | Official leaderboard | |
| 7 | | 61.2% | Oct 2026 | Official leaderboard | |
| 8 | | 60.9% | Oct 2026 | Official leaderboard | |
| 9 | GLM-5.3 | 60.5% | Aug 2026 | Official leaderboard | |
| 10 | | 60.5% | Sep 2026 | Official leaderboard | |
| 11 | Grok 4.7 | 58.5% | Sep 2026 | Official leaderboard | |
| 12 | Kimi K3 | 58% | Jul 2026 | Official leaderboard | |
| 13 | MiMo-V2.6 Pro | 57.9% | Sep 2026 | Official leaderboard | |
| 14 | | 57.5% | Aug 2026 | Official leaderboard | |
| 15 | Claude Haiku 5.5 | 57.5% | Oct 2026 | Official leaderboard | |
| 16 | MiMo-V2.6 Flash | 57.1% | Sep 2026 | Official leaderboard | |
| 17 | | 57.1% | Sep 2026 | Official leaderboard | |
| 18 | | 57% | Oct 2026 | Official leaderboard | |
| 19 | | 56.9% | Oct 2026 | Official leaderboard | |
| 20 | Kimi K3.1 Pro | 56% | Oct 2026 | Official leaderboard | |
| 21 | | 55.9% | Oct 2026 | Official leaderboard | |
| 22 | GLM-5.3-Flash | 55.8% | Aug 2026 | Official leaderboard | |
| 23 | GPT-6.1 Sol | 55.8% | Sep 2026 | Official leaderboard | |
| 24 | GPT-6 Astra | 55.6% | Sep 2026 | Official leaderboard | |
| 25 | | 55.4% | Sep 2026 | Official leaderboard | |
| 26 | GPT-6.1 Terra | 53.3% | Oct 2026 | Official leaderboard | |
| 27 | GPT-6 Luna | 53% | Sep 2026 | Official leaderboard | |
| 28 | | 53% | Oct 2026 | Official leaderboard | |
| 29 | | 52.9% | Aug 2026 | Official leaderboard | |
| 30 | | 48.4% | Jun 2026 | Official leaderboard | |
| 31 | Mercury 3 | 47.2% | Oct 2026 | Official leaderboard | |
| 32 | Beam 1.0 | 46.5% | Oct 2026 | Official leaderboard | |
| 33 | | 41% | Oct 2026 | Official leaderboard | |
| 34 | | 38.3% | Jul 2026 | Official leaderboard | |
| 35 | | 36.3% | Jul 2026 | Official leaderboard |
The best score, 67%, costs $6.46 a task
Runs on the cost frontier score higher than any run that's cheaper. Muse Wonder Full comes within 2.5 points of the best for $3.14 a task, about half the cost. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | 67% | $6.46 | |||
| Claude Opus 5.5 | 65.6% | $12 | |||
| | 64.9% | $6.53 | |||
| | 64.5% | $3.14 | |||
| Claude Sonnet 5.5 | 64.5% | $8.33 | |||
| | 61.7% | $3.83 | |||
| | 61.2% | $3.37 | |||
| | 60.9% | $0.42 | |||
| GLM-5.3 | 60.5% | $2.21 | |||
| | 60.5% | $3.70 | |||
| Grok 4.7 | 58.5% | $3.51 | |||
| Kimi K3 | 58% | $2.58 | |||
| MiMo-V2.6 Pro | 57.9% | $0.22 | |||
| | 57.5% | $0.68 | |||
| Claude Haiku 5.5 | 57.5% | $1.39 | |||
| MiMo-V2.6 Flash | 57.1% | $0.07 | |||
| | 57.1% | $0.25 | |||
| | 57% | $0.56 | |||
| | 56.9% | $1.46 | |||
| Kimi K3.1 Pro | 56% | $2.51 | |||
| | 55.9% | $0.25 | |||
| GLM-5.3-Flash | 55.8% | $0.31 | |||
| GPT-6.1 Sol | 55.8% | $1.36 | |||
| GPT-6 Astra | 55.6% | $6.48 | |||
| | 55.4% | $0.82 | |||
| GPT-6.1 Terra | 53.3% | $1.55 | |||
| GPT-6 Luna | 53% | $0.15 | |||
| | 53% | $3.00 | |||
| | 52.9% | $0.88 | |||
| | 48.4% | $1.22 | |||
| Mercury 3 | 47.2% | $0.10 | |||
| Beam 1.0 | 46.5% | ||||
| | 41% | $0.48 | |||
| | 38.3% | $0.97 | |||
| | 36.3% | $0.18 |
2 models have held number one since its release in Oct 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
No lab model card reports it yet
We read the headline results of 479 launch posts from 51 labs, and none of them list this benchmark.
More in Economic work
- JobBench In use 130 tasks from 35 occupations workers most want delegated. Agent works through messy reference files, graded by fact-anchored binary rubrics. GLM-5.3 61.4%
- GDPval In use Real work tasks from 44 occupations with reference files. Experts blindly compare model deliverables with expert work. Metric is win-or-tie rate.
Seed2.1 Pro 87.9%
- GDPval-AA v2.1 In use Agents with shell and web access complete 220 GDPval gold tasks from 44 occupations. Blind pairwise comparisons give Elo ratings. Claude Opus 5.5 1,846
- AA-Briefcase v1.1 In use Version 1.1 of Artificial Analysis's multi-hour office work evaluation, with Elo ratings fitted by Crowd-BT. Claude Opus 5.5 1,822
- CoWorkBench In use Agent completes long-horizon productivity tasks across computer science, finance, law and medicine. Qwen in-house scoring (method unpublished).
Qwen3.8-Omni-Flash 75.3%
- OfficeQA In use Grounded reasoning over a large corpus of U.S. Treasury Bulletin documents: locate tables and compute precise numeric answers. Claude Opus 4.7 86.3%