← Multi-domain agent tasks benchmarks

Vals Index leaderboard (Oct 2026): AI model scores

As of 21 Oct 2026, the highest reported Meta score on Vals Index is Wonder Full (Meta) at 66.79%, #4 on that leaderboard, per Vals AI.

What it measures

Agentic performance on finance, coding, legal and tax tasks, weighted by each sector’s share of U.S. GDP.

One score for agentic work across finance, coding, legal and tax tasks, weighted by each sector’s share of US GDP.

What the score means

Accuracy: weighted average of 8 component benchmarks

Vals’ weighted average of model performance across its finance, coding, legal and tax benchmarks, each sector weighted by its share of U.S. GDP.

Results from published AI leaderboards. Compare models within each benchmark; scores from different tests aren’t directly comparable. How we collect these results

Scores by model

Run by Vals AI. Leaderboard dated 21 Oct 2026. Last checked 22 Oct 2026.

Highlight a provider: Anthropic OpenAI Google xAI Meta DeepSeek Z.ai Moonshot MiniMax Xiaomi

Highlighting Meta models. Other providers are dimmed. Show all providers

  • Anthropic
  • OpenAI
  • Google
  • xAI
  • Meta
  • DeepSeek
  • Z.ai
  • Moonshot
  • MiniMax
  • Xiaomi
  • Other
Vals Index: Accuracy vs Cost per test (USD)Scatter plot of 23 models. Leader on Accuracy: Claude Sonnet 5.5 at 70.85%. Meta models highlighted. Full values in the table below.$.1$1$10$10030%40%50%60%70%COST PER TEST (USD) · LOG SCALEACCURACYInkling Small (Other): Cost per test (USD) $0.40, Accuracy 27.59%·Inkling (Other): Cost per test (USD) $1.85, Accuracy 28.96%·GLM 5.3 Flash (Z.ai): Cost per test (USD) $1.13, Accuracy 50.86%ZGPT-6 Luna (OpenAI): Cost per test (USD) $0.45, Accuracy 52.32%OKimi K3 (Moonshot): Cost per test (USD) $7.17, Accuracy 52.95%KDeepSeek V4 Pro 0813 (DeepSeek): Cost per test (USD) $2.50, Accuracy 52.97%DHy4 Preview (Other): Cost per test (USD) $1.45, Accuracy 53.21%·MiniMax-M3.1-Flash (MiniMax): Cost per test (USD) $0.66, Accuracy 53.78%MMMiMo V2.6 Flash (Xiaomi): Cost per test (USD) $0.22, Accuracy 54.83%XiGemini 3.8 Flash (Google): Cost per test (USD) $6.06, Accuracy 55.95%GMiMo V2.6 Pro (Xiaomi): Cost per test (USD) $0.43, Accuracy 57.81%XiGrok 4.7 (xAI): Cost per test (USD) $12, Accuracy 58.56%XClaude Haiku 5.5 (Anthropic): Cost per test (USD) $3.17, Accuracy 58.71%AGLM 5.3 (Z.ai): Cost per test (USD) $8.52, Accuracy 59.73%ZDeepSeek V4.1 Flash 1017 (DeepSeek): Cost per test (USD) $0.66, Accuracy 61.26%DGPT-6.1 Sol (OpenAI): Cost per test (USD) $3.61, Accuracy 63.94%OGPT-6 Astra (OpenAI): Cost per test (USD) $21, Accuracy 65.02%OGemini 4 Argon (Google): Cost per test (USD) $13, Accuracy 69.24%GClaude Opus 5.5 (Anthropic): Cost per test (USD) $28, Accuracy 70.18%AClaude Sonnet 5.5 (Anthropic): Cost per test (USD) $19, Accuracy 70.85%AMuse Spark Open (Meta): Cost per test (USD) $4.72, Accuracy 48.57%MWonder (Meta): Cost per test (USD) $11, Accuracy 64.88%MWonder Full (Meta): Cost per test (USD) $6.81, Accuracy 66.79%MWonder FullWonderClaude Sonnet 5.5
Vals Index: Accuracy vs Cost per test (USD)Scatter plot of 23 models. Leader on Accuracy: Claude Sonnet 5.5 at 70.85%. Meta models highlighted. Full values in the table below.$.1$1$10$10030%40%50%60%70%COST PER TEST (USD) · LOG SCALEACCURACYInkling Small (Other): Cost per test (USD) $0.40, Accuracy 27.59%·Inkling (Other): Cost per test (USD) $1.85, Accuracy 28.96%·GLM 5.3 Flash (Z.ai): Cost per test (USD) $1.13, Accuracy 50.86%ZGPT-6 Luna (OpenAI): Cost per test (USD) $0.45, Accuracy 52.32%OKimi K3 (Moonshot): Cost per test (USD) $7.17, Accuracy 52.95%KDeepSeek V4 Pro 0813 (DeepSeek): Cost per test (USD) $2.50, Accuracy 52.97%DHy4 Preview (Other): Cost per test (USD) $1.45, Accuracy 53.21%·MiniMax-M3.1-Flash (MiniMax): Cost per test (USD) $0.66, Accuracy 53.78%MMMiMo V2.6 Flash (Xiaomi): Cost per test (USD) $0.22, Accuracy 54.83%XiGemini 3.8 Flash (Google): Cost per test (USD) $6.06, Accuracy 55.95%GMiMo V2.6 Pro (Xiaomi): Cost per test (USD) $0.43, Accuracy 57.81%XiGrok 4.7 (xAI): Cost per test (USD) $12, Accuracy 58.56%XClaude Haiku 5.5 (Anthropic): Cost per test (USD) $3.17, Accuracy 58.71%AGLM 5.3 (Z.ai): Cost per test (USD) $8.52, Accuracy 59.73%ZDeepSeek V4.1 Flash 1017 (DeepSeek): Cost per test (USD) $0.66, Accuracy 61.26%DGPT-6.1 Sol (OpenAI): Cost per test (USD) $3.61, Accuracy 63.94%OGPT-6 Astra (OpenAI): Cost per test (USD) $21, Accuracy 65.02%OGemini 4 Argon (Google): Cost per test (USD) $13, Accuracy 69.24%GClaude Opus 5.5 (Anthropic): Cost per test (USD) $28, Accuracy 70.18%AClaude Sonnet 5.5 (Anthropic): Cost per test (USD) $19, Accuracy 70.85%AMuse Spark Open (Meta): Cost per test (USD) $4.72, Accuracy 48.57%MWonder (Meta): Cost per test (USD) $11, Accuracy 64.88%MWonder Full (Meta): Cost per test (USD) $6.81, Accuracy 66.79%MWonder FullWonder
Vals Index: top 15 by AccuracyBars from zero. Leader: Claude Sonnet 5.5 at 70.85%. Meta models highlighted. Full values in the table below.0%20%40%60%80%Claude Sonnet 5.5 (Anthropic), rank 1: 70.85%AClaude Sonnet 5.570.85%Claude Opus 5.5 (Anthropic), rank 2: 70.18%AClaude Opus 5.570.18%Gemini 4 Argon (Google), rank 3: 69.24%GGemini 4 Argon69.24%Wonder Full (Meta), rank 4: 66.79%MWonder Full66.79%GPT-6 Astra (OpenAI), rank 5: 65.02%OGPT-6 Astra65.02%Wonder (Meta), rank 6: 64.88%MWonder64.88%GPT-6.1 Sol (OpenAI), rank 7: 63.94%OGPT-6.1 Sol63.94%DeepSeek V4.1 Flash 1017 (DeepSeek), rank 8: 61.26%DDeepSeek V4.1 Flash 101761.26%GLM 5.3 (Z.ai), rank 9: 59.73%ZGLM 5.359.73%Claude Haiku 5.5 (Anthropic), rank 10: 58.71%AClaude Haiku 5.558.71%Grok 4.7 (xAI), rank 11: 58.56%XGrok 4.758.56%MiMo V2.6 Pro (Xiaomi), rank 12: 57.81%XiMiMo V2.6 Pro57.81%Gemini 3.8 Flash (Google), rank 13: 55.95%GGemini 3.8 Flash55.95%MiMo V2.6 Flash (Xiaomi), rank 14: 54.83%XiMiMo V2.6 Flash54.83%MiniMax-M3.1-Flash (MiniMax), rank 15: 53.78%MMMiniMax-M3.1-Flash53.78%Muse Spark Open (Meta), rank 21: 48.57%M#21 Muse Spark Open48.57%
Vals Index: top 12 by AccuracyBars from zero. Leader: Claude Sonnet 5.5 at 70.85%. Meta models highlighted. Full values in the table below.0%25%50%75%Claude Sonnet 5.5 (Anthropic), rank 1: 70.85%AClaude Sonnet 5.570.85%Claude Opus 5.5 (Anthropic), rank 2: 70.18%AClaude Opus 5.570.18%Gemini 4 Argon (Google), rank 3: 69.24%GGemini 4 Argon69.24%Wonder Full (Meta), rank 4: 66.79%MWonder Full66.79%GPT-6 Astra (OpenAI), rank 5: 65.02%OGPT-6 Astra65.02%Wonder (Meta), rank 6: 64.88%MWonder64.88%GPT-6.1 Sol (OpenAI), rank 7: 63.94%OGPT-6.1 Sol63.94%DeepSeek V4.1 Flash 1017 (DeepSeek), rank 8: 61.26%DDeepSeek V4.1 Fl…61.26%GLM 5.3 (Z.ai), rank 9: 59.73%ZGLM 5.359.73%Claude Haiku 5.5 (Anthropic), rank 10: 58.71%AClaude Haiku 5.558.71%Grok 4.7 (xAI), rank 11: 58.56%XGrok 4.758.56%MiMo V2.6 Pro (Xiaomi), rank 12: 57.81%XiMiMo V2.6 Pro57.81%Muse Spark Open (Meta), rank 21: 48.57%M#21 Muse Spark O…48.57%
Accuracy
Vals’ weighted average of model performance across its finance, coding, legal and tax benchmarks, each sector weighted by its share of U.S. GDP.
Cost per test (USD)
Average API cost to run the index tasks, as published.

All scores

Vals Index scores, Meta models highlighted
RankModelProviderAccuracyCost per test (USD)Price in / out ($/1M tokens)
1 Claude Sonnet 5.5Anthropic70.85%$19$2 / $10
2 Claude Opus 5.5Anthropic70.18%$28$4 / $20
3 Gemini 4 ArgonGoogle69.24%$13$4 / $20
4 Wonder FullMeta66.79%$6.81$4 / $20
5 GPT-6 AstraOpenAI65.02%$21$10 / $50
6 WonderMeta64.88%$11$4 / $20
7 GPT-6.1 SolOpenAI63.94%$3.61$2 / $10
8 DeepSeek V4.1 Flash 1017DeepSeek61.26%$0.66$0.3 / $1.2
9 GLM 5.3Z.ai59.73%$8.52$1.4 / $4.4
10 Claude Haiku 5.5Anthropic58.71%$3.17$0.1 / $0.5
Show 14 more rows
RankModelProviderAccuracyCost per test (USD)Price in / out ($/1M tokens)
11 Grok 4.7xAI58.56%$12$2 / $6
12 MiMo V2.6 ProXiaomi57.81%$0.43$0.435 / $0.87
13 Gemini 3.8 FlashGoogle55.95%$6.06$1.5 / $7.5
14 MiMo V2.6 FlashXiaomi54.83%$0.22$0.14 / $0.28
15 MiniMax-M3.1-FlashMiniMax53.78%$0.66$0.15 / $0.6
16 Hy4 PreviewOther53.21%$1.45$0.834 / $2.501
17 DeepSeek V4 Pro 0813DeepSeek52.97%$2.50$1.32 / $3.96
18 Kimi K3Moonshot52.95%$7.17$3 / $15
19 GPT-6 LunaOpenAI52.32%$0.45$0.1 / $0.5
20 GLM 5.3 FlashZ.ai50.86%$1.13$0.075 / $0.25
21 Muse Spark OpenMeta48.57%$4.72$1.25 / $4.25
22 Beam 1.0Other43.42%–N/A
23 InklingOther28.96%$1.85$1 / $4.05
24 Inkling SmallOther27.59%$0.40$0.3 / $1.2

Source: Vals AI leaderboard ↗

Best-ranked Meta model here: Wonder Full (Meta). Try prompts for Muse →