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Finance Agent leaderboard (Oct 2026): AI model scores

As of 19 Oct 2026, the highest reported Google score on Finance Agent is Gemini 4 Argon (Google) at 67.66%, #2 on that leaderboard, per Vals AI.

What it measures

Entry-level financial analyst work: answering difficult questions on public company filings.

Agents do entry-level financial analyst research on SEC filings (retrieval, calculations, beat/miss, modelling).

What the score means

Accuracy

Share of analyst questions with a correct final answer.

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 19 Oct 2026. Last checked 22 Oct 2026. Showing top 25 of 28 models listed.

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

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

  • Anthropic
  • OpenAI
  • Google
  • xAI
  • Meta
  • DeepSeek
  • Z.ai
  • Moonshot
  • MiniMax
  • Mistral
  • Xiaomi
  • Other
Finance Agent: Accuracy vs Cost per test (USD)Scatter plot of 25 models. Leader on Accuracy: Claude Opus 5.5 at 67.85%. Google models highlighted. Full values in the table below.$.01$.1$1$1050%55%60%65%COST PER TEST (USD) · LOG SCALEACCURACYMiniMax-M3 (MiniMax): Cost per test (USD) $0.30, Accuracy 54.34%MMGPT-6 Luna (OpenAI): Cost per test (USD) $0.12, Accuracy 56.84%ODeepSeek V4 Pro 0813 (DeepSeek): Cost per test (USD) $0.82, Accuracy 57.12%DMiniMax-M3.1-Flash (MiniMax): Cost per test (USD) $0.16, Accuracy 58.83%MMStep 5 Preview (Other): Cost per test (USD) $0.58, Accuracy 58.90%·Kimi K3 (Moonshot): Cost per test (USD) $1.88, Accuracy 60.01%KGPT-6 Astra (OpenAI): Cost per test (USD) $7.82, Accuracy 60.43%OGrok 4.7 (xAI): Cost per test (USD) $2.24, Accuracy 60.59%XGLM 5.3 Flash (Z.ai): Cost per test (USD) $0.070, Accuracy 60.59%ZMuse Spark Open (Meta): Cost per test (USD) $2.76, Accuracy 60.66%MMistral Large 4 (Mistral): Cost per test (USD) $1.02, Accuracy 61.38%MiHy4 Preview (Other): Cost per test (USD) $0.67, Accuracy 61.62%·GPT-6.1 Sol (OpenAI): Cost per test (USD) $1.63, Accuracy 61.82%ODeepSeek V4.1 Flash 1017 (DeepSeek): Cost per test (USD) $0.47, Accuracy 62.93%DMiMo V2.6 Flash (Xiaomi): Cost per test (USD) $0.070, Accuracy 63.32%XiMiMo V2.6 Pro (Xiaomi): Cost per test (USD) $0.18, Accuracy 64.26%XiGLM 5.3 (Z.ai): Cost per test (USD) $1.03, Accuracy 65.00%ZClaude Haiku 5.5 (Anthropic): Cost per test (USD) $1.64, Accuracy 65.37%ADeepSeek V4.1 Flash (DeepSeek): Cost per test (USD) $0.37, Accuracy 65.43%DWonder (Meta): Cost per test (USD) $2.62, Accuracy 65.55%MClaude Sonnet 5.5 (Anthropic): Cost per test (USD) $6.95, Accuracy 67.28%AWonder Full (Meta): Cost per test (USD) $2.68, Accuracy 67.58%MClaude Opus 5.5 (Anthropic): Cost per test (USD) $8.91, Accuracy 67.85%AGemini 3.8 Flash (Google): Cost per test (USD) $1.99, Accuracy 65.76%GGemini 4 Argon (Google): Cost per test (USD) $4.32, Accuracy 67.66%GGemini 4 ArgonGemini 3.8 FlashClaude Opus 5.5
Finance Agent: Accuracy vs Cost per test (USD)Scatter plot of 25 models. Leader on Accuracy: Claude Opus 5.5 at 67.85%. Google models highlighted. Full values in the table below.$.01$.1$1$1050%55%60%65%COST PER TEST (USD) · LOG SCALEACCURACYMiniMax-M3 (MiniMax): Cost per test (USD) $0.30, Accuracy 54.34%MMGPT-6 Luna (OpenAI): Cost per test (USD) $0.12, Accuracy 56.84%ODeepSeek V4 Pro 0813 (DeepSeek): Cost per test (USD) $0.82, Accuracy 57.12%DMiniMax-M3.1-Flash (MiniMax): Cost per test (USD) $0.16, Accuracy 58.83%MMStep 5 Preview (Other): Cost per test (USD) $0.58, Accuracy 58.90%·Kimi K3 (Moonshot): Cost per test (USD) $1.88, Accuracy 60.01%KGPT-6 Astra (OpenAI): Cost per test (USD) $7.82, Accuracy 60.43%OGrok 4.7 (xAI): Cost per test (USD) $2.24, Accuracy 60.59%XGLM 5.3 Flash (Z.ai): Cost per test (USD) $0.070, Accuracy 60.59%ZMuse Spark Open (Meta): Cost per test (USD) $2.76, Accuracy 60.66%MMistral Large 4 (Mistral): Cost per test (USD) $1.02, Accuracy 61.38%MiHy4 Preview (Other): Cost per test (USD) $0.67, Accuracy 61.62%·GPT-6.1 Sol (OpenAI): Cost per test (USD) $1.63, Accuracy 61.82%ODeepSeek V4.1 Flash 1017 (DeepSeek): Cost per test (USD) $0.47, Accuracy 62.93%DMiMo V2.6 Flash (Xiaomi): Cost per test (USD) $0.070, Accuracy 63.32%XiMiMo V2.6 Pro (Xiaomi): Cost per test (USD) $0.18, Accuracy 64.26%XiGLM 5.3 (Z.ai): Cost per test (USD) $1.03, Accuracy 65.00%ZClaude Haiku 5.5 (Anthropic): Cost per test (USD) $1.64, Accuracy 65.37%ADeepSeek V4.1 Flash (DeepSeek): Cost per test (USD) $0.37, Accuracy 65.43%DWonder (Meta): Cost per test (USD) $2.62, Accuracy 65.55%MClaude Sonnet 5.5 (Anthropic): Cost per test (USD) $6.95, Accuracy 67.28%AWonder Full (Meta): Cost per test (USD) $2.68, Accuracy 67.58%MClaude Opus 5.5 (Anthropic): Cost per test (USD) $8.91, Accuracy 67.85%AGemini 3.8 Flash (Google): Cost per test (USD) $1.99, Accuracy 65.76%GGemini 4 Argon (Google): Cost per test (USD) $4.32, Accuracy 67.66%GGemini 4 ArgonGemini 3.8 Flash
Finance Agent: top 15 by AccuracyDot plot, axis starting at 55% (not zero). Leader: Claude Opus 5.5 at 67.85%. Google models highlighted. Full values in the table below.55%60%65%ACCURACY · AXIS STARTS AT 55%, NOT ZEROClaude Opus 5.5 (Anthropic), rank 1: 67.85%AClaude Opus 5.567.85%Gemini 4 Argon (Google), rank 2: 67.66%GGemini 4 Argon67.66%Wonder Full (Meta), rank 3: 67.58%MWonder Full67.58%Claude Sonnet 5.5 (Anthropic), rank 4: 67.28%AClaude Sonnet 5.567.28%Gemini 3.8 Flash (Google), rank 5: 65.76%GGemini 3.8 Flash65.76%Wonder (Meta), rank 6: 65.55%MWonder65.55%DeepSeek V4.1 Flash (DeepSeek), rank 7: 65.43%DDeepSeek V4.1 Flash65.43%Claude Haiku 5.5 (Anthropic), rank 8: 65.37%AClaude Haiku 5.565.37%GLM 5.3 (Z.ai), rank 9: 65.00%ZGLM 5.365.00%MiMo V2.6 Pro (Xiaomi), rank 10: 64.26%XiMiMo V2.6 Pro64.26%MiMo V2.6 Flash (Xiaomi), rank 11: 63.32%XiMiMo V2.6 Flash63.32%DeepSeek V4.1 Flash 1017 (DeepSeek), rank 12: 62.93%DDeepSeek V4.1 Flash 101762.93%GPT-6.1 Sol (OpenAI), rank 13: 61.82%OGPT-6.1 Sol61.82%Hy4 Preview (Other), rank 14: 61.62%·Hy4 Preview61.62%Mistral Large 4 (Mistral), rank 15: 61.38%MiMistral Large 461.38%
Finance Agent: top 12 by AccuracyDot plot, axis starting at 55% (not zero). Leader: Claude Opus 5.5 at 67.85%. Google models highlighted. Full values in the table below.55%60%65%AXIS STARTS AT 55%, NOT ZEROClaude Opus 5.5 (Anthropic), rank 1: 67.85%AClaude Opus 5.567.85%Gemini 4 Argon (Google), rank 2: 67.66%GGemini 4 Argon67.66%Wonder Full (Meta), rank 3: 67.58%MWonder Full67.58%Claude Sonnet 5.5 (Anthropic), rank 4: 67.28%AClaude Sonnet 5.567.28%Gemini 3.8 Flash (Google), rank 5: 65.76%GGemini 3.8 Flash65.76%Wonder (Meta), rank 6: 65.55%MWonder65.55%DeepSeek V4.1 Flash (DeepSeek), rank 7: 65.43%DDeepSeek V4.1 Fl…65.43%Claude Haiku 5.5 (Anthropic), rank 8: 65.37%AClaude Haiku 5.565.37%GLM 5.3 (Z.ai), rank 9: 65.00%ZGLM 5.365.00%MiMo V2.6 Pro (Xiaomi), rank 10: 64.26%XiMiMo V2.6 Pro64.26%MiMo V2.6 Flash (Xiaomi), rank 11: 63.32%XiMiMo V2.6 Flash63.32%DeepSeek V4.1 Flash 1017 (DeepSeek), rank 12: 62.93%DDeepSeek V4.1 Fl…62.93%
Accuracy
Share of analyst questions with a correct final answer.
Cost per test (USD)
Average API cost to run one task, as published.

All scores

Finance Agent scores, Google models highlighted
RankModelProviderAccuracyCost per test (USD)Price in / out ($/1M tokens)
1 Claude Opus 5.5Anthropic67.85%$8.91$4 / $20
2 Gemini 4 ArgonGoogle67.66%$4.32$4 / $20
3 Wonder FullMeta67.58%$2.68$4 / $20
4 Claude Sonnet 5.5Anthropic67.28%$6.95$2 / $10
5 Gemini 3.8 FlashGoogle65.76%$1.99$1.5 / $7.5
6 WonderMeta65.55%$2.62$4 / $20
7 DeepSeek V4.1 FlashDeepSeek65.43%$0.37$0.3 / $1.2
8 Claude Haiku 5.5Anthropic65.37%$1.64$0.1 / $0.5
9 GLM 5.3Z.ai65.00%$1.03$1.4 / $4.4
10 MiMo V2.6 ProXiaomi64.26%$0.18$0.435 / $0.87
Show 15 more rows
RankModelProviderAccuracyCost per test (USD)Price in / out ($/1M tokens)
11 MiMo V2.6 FlashXiaomi63.32%$0.070$0.14 / $0.28
12 DeepSeek V4.1 Flash 1017DeepSeek62.93%$0.47$0.3 / $1.2
13 GPT-6.1 SolOpenAI61.82%$1.63$2 / $10
14 Hy4 PreviewOther61.62%$0.67$0.834 / $2.501
15 Mistral Large 4Mistral61.38%$1.02$1.36 / $4.18
16 Muse Spark OpenMeta60.66%$2.76$1.25 / $4.25
17 GLM 5.3 FlashZ.ai60.59%$0.070$0.075 / $0.25
18 Grok 4.7xAI60.59%$2.24$2 / $6
19 GPT-6 AstraOpenAI60.43%$7.82$10 / $50
20 Kimi K3Moonshot60.01%$1.88$3 / $15
21 Step 5 PreviewOther58.90%$0.58$1 / $2.7
22 MiniMax-M3.1-FlashMiniMax58.83%$0.16$0.15 / $0.6
23 DeepSeek V4 Pro 0813DeepSeek57.12%$0.82$1.32 / $3.96
24 GPT-6 LunaOpenAI56.84%$0.12$0.1 / $0.5
25 MiniMax-M3MiniMax54.34%$0.30$0.6 / $2.4

Source: Vals AI leaderboard ↗

Best-ranked Google model here: Gemini 4 Argon (Google). Try prompts for Gemini →

Prompts for this kind of work

Copy-ready prompts from our library that match what Finance Agent tests. Run them on your own material to compare models.

ResearchGeminiInvestor/stock due-diligenceAct as a forensic equity analyst. Conduct a deep research analysis for [COMPANY / TICKER] based on…View prompt MasterYoda @MasterYoda1991Report or remove
PricingClaudeUnit economics checkTesting whether your pricing survives your real usage costs.View prompt