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Best AI for financial analysis (Oct 2026)

As of 19 Oct 2026, the highest reported score on Finance Agent is Claude Opus 5.5 (Anthropic) at 67.85%, per Vals AI. As of 12 Aug 2026, the highest reported score on CorpFin v2 is Claude Opus 5 (Anthropic) at 73.19%, per Vals AI. The source no longer updates this leaderboard. The leaders differ across these benchmarks, so check the one closest to your work.

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

Finance Agent

Entry-level financial analyst work: answering difficult questions on public company filings. Run by Vals AI. Leaderboard dated 19 Oct 2026. Last checked 21 Oct 2026.

  • 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%. 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%MGemini 3.8 Flash (Google): Cost per test (USD) $1.99, Accuracy 65.76%GClaude 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%MGemini 4 Argon (Google): Cost per test (USD) $4.32, Accuracy 67.66%GClaude Opus 5.5 (Anthropic): Cost per test (USD) $8.91, Accuracy 67.85%AClaude Opus 5.5Gemini 4 ArgonWonder Full
Finance Agent: Accuracy vs Cost per test (USD)Scatter plot of 25 models. Leader on Accuracy: Claude Opus 5.5 at 67.85%. Full values in the table below.$.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%MGemini 3.8 Flash (Google): Cost per test (USD) $1.99, Accuracy 65.76%GClaude 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%MGemini 4 Argon (Google): Cost per test (USD) $4.32, Accuracy 67.66%GClaude Opus 5.5 (Anthropic): Cost per test (USD) $8.91, Accuracy 67.85%AClaude Opus 5.5Gemini 4 ArgonWonder Full
Finance Agent: top 15 by AccuracyDot plot, axis starting at 55% (not zero). Leader: Claude Opus 5.5 at 67.85%. 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%. 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%

Full Finance Agent leaderboard: every model, all metrics and the table

CorpFin v2

Understanding long-context credit agreements (private benchmark). Run by Vals AI. Leaderboard dated 12 Aug 2026 (no longer updated by the source). Last checked 21 Oct 2026.

  • Anthropic
  • OpenAI
  • Google
  • xAI
  • Meta
  • Alibaba
  • Z.ai
  • Moonshot
  • MiniMax
  • Other
CorpFin v2: top 15 by AccuracyBars from zero. Leader: Claude Opus 5 at 73.19%. Full values in the table below.0%20%40%60%80%Claude Opus 5 (Anthropic), rank 1: 73.19%AClaude Opus 573.19%Claude Fable 5 (Anthropic), rank 2: 71.83%AClaude Fable 571.83%Kimi K3 (Moonshot), rank 3: 71.56%KKimi K371.56%Muse Spark 1.1 (Meta), rank 4: 71.29%MMuse Spark 1.171.29%Muse Spark 1.2 (Meta), rank 5: 70.94%MMuse Spark 1.270.94%Inkling Small (Other), rank 6: 69.62%·Inkling Small69.62%Inkling (Other), rank 7: 68.57%·Inkling68.57%Grok 4.3 (xAI), rank 8: 68.53%XGrok 4.368.53%GPT 5.5 (OpenAI), rank 9: 68.42%OGPT 5.568.42%Kimi K2.5 (Moonshot), rank 10: 68.26%KKimi K2.568.26%MiniMax-M3 (MiniMax), rank 11: 68.10%MMMiniMax-M368.10%Qwen 3 Max Thinking (Alibaba), rank 12: 68.03%QQwen 3 Max Thinking68.03%Grok 4.5 (xAI), rank 13: 67.41%XGrok 4.567.41%Claude Opus 4.6 (Thinking) (Anthropic), rank 14: 67.02%AClaude Opus 4.667.02%Claude Sonnet 5 (Anthropic), rank 15: 66.98%AClaude Sonnet 566.98%
CorpFin v2: top 12 by AccuracyBars from zero. Leader: Claude Opus 5 at 73.19%. Full values in the table below.0%25%50%75%Claude Opus 5 (Anthropic), rank 1: 73.19%AClaude Opus 573.19%Claude Fable 5 (Anthropic), rank 2: 71.83%AClaude Fable 571.83%Kimi K3 (Moonshot), rank 3: 71.56%KKimi K371.56%Muse Spark 1.1 (Meta), rank 4: 71.29%MMuse Spark 1.171.29%Muse Spark 1.2 (Meta), rank 5: 70.94%MMuse Spark 1.270.94%Inkling Small (Other), rank 6: 69.62%·Inkling Small69.62%Inkling (Other), rank 7: 68.57%·Inkling68.57%Grok 4.3 (xAI), rank 8: 68.53%XGrok 4.368.53%GPT 5.5 (OpenAI), rank 9: 68.42%OGPT 5.568.42%Kimi K2.5 (Moonshot), rank 10: 68.26%KKimi K2.568.26%MiniMax-M3 (MiniMax), rank 11: 68.10%MMMiniMax-M368.10%Qwen 3 Max Thinking (Alibaba), rank 12: 68.03%QQwen 3 Max Think…68.03%
CorpFin v2: top 15 by AccuracyDot plot, axis starting at 60% (not zero). Leader: Claude Opus 5 at 73.19%. Full values in the table below.60%65%70%75%ACCURACY · AXIS STARTS AT 60%, NOT ZEROClaude Opus 5 (Anthropic), rank 1: 73.19%AClaude Opus 573.19%Claude Fable 5 (Anthropic), rank 2: 71.83%AClaude Fable 571.83%Kimi K3 (Moonshot), rank 3: 71.56%KKimi K371.56%Muse Spark 1.1 (Meta), rank 4: 71.29%MMuse Spark 1.171.29%Muse Spark 1.2 (Meta), rank 5: 70.94%MMuse Spark 1.270.94%Inkling Small (Other), rank 6: 69.62%·Inkling Small69.62%Inkling (Other), rank 7: 68.57%·Inkling68.57%Grok 4.3 (xAI), rank 8: 68.53%XGrok 4.368.53%GPT 5.5 (OpenAI), rank 9: 68.42%OGPT 5.568.42%Kimi K2.5 (Moonshot), rank 10: 68.26%KKimi K2.568.26%MiniMax-M3 (MiniMax), rank 11: 68.10%MMMiniMax-M368.10%Qwen 3 Max Thinking (Alibaba), rank 12: 68.03%QQwen 3 Max Thinking68.03%Grok 4.5 (xAI), rank 13: 67.41%XGrok 4.567.41%Claude Opus 4.6 (Thinking) (Anthropic), rank 14: 67.02%AClaude Opus 4.667.02%Claude Sonnet 5 (Anthropic), rank 15: 66.98%AClaude Sonnet 566.98%
CorpFin v2: top 12 by AccuracyDot plot, axis starting at 60% (not zero). Leader: Claude Opus 5 at 73.19%. Full values in the table below.60%65%70%75%AXIS STARTS AT 60%, NOT ZEROClaude Opus 5 (Anthropic), rank 1: 73.19%AClaude Opus 573.19%Claude Fable 5 (Anthropic), rank 2: 71.83%AClaude Fable 571.83%Kimi K3 (Moonshot), rank 3: 71.56%KKimi K371.56%Muse Spark 1.1 (Meta), rank 4: 71.29%MMuse Spark 1.171.29%Muse Spark 1.2 (Meta), rank 5: 70.94%MMuse Spark 1.270.94%Inkling Small (Other), rank 6: 69.62%·Inkling Small69.62%Inkling (Other), rank 7: 68.57%·Inkling68.57%Grok 4.3 (xAI), rank 8: 68.53%XGrok 4.368.53%GPT 5.5 (OpenAI), rank 9: 68.42%OGPT 5.568.42%Kimi K2.5 (Moonshot), rank 10: 68.26%KKimi K2.568.26%MiniMax-M3 (MiniMax), rank 11: 68.10%MMMiniMax-M368.10%Qwen 3 Max Thinking (Alibaba), rank 12: 68.03%QQwen 3 Max Think…68.03%

Full CorpFin v2 leaderboard: every model, all metrics and the table

What these benchmarks tell you

  • Finance Agent: how often a model gets the correct final answer to entry-level financial analyst questions on public company (SEC) filings, including retrieval, calculations and modelling, plus the average cost per test.
  • CorpFin: how well a model answers questions about long credit agreements. The source no longer updates it, so newer models may be missing.

What they don’t tell you

  • Neither benchmark scores your own books, forecasts or private company data.
  • A correct answer on a filing question is not investment advice, and these scores say nothing about returns.

Prompts for financial analysis

Run the same prompt on your own material with two models and compare the results.

Questions people ask

Which AI has the highest reported score for financial analysis?

As of 19 Oct 2026, the highest reported score on Finance Agent is Claude Opus 5.5 (Anthropic) at 67.85%, per Vals AI. As of 12 Aug 2026, the highest reported score on CorpFin v2 is Claude Opus 5 (Anthropic) at 73.19%, per Vals AI. The source no longer updates this leaderboard. The leaders differ across these benchmarks, so check the one closest to your work.

How recent are these results?

Finance Agent: leaderboard dated 19 Oct 2026; we last checked it on 21 Oct 2026. CorpFin v2: leaderboard dated 12 Aug 2026, no longer updated by the source; we last checked it on 21 Oct 2026.

What does the top-scoring model cost to run on these tests?

On Finance Agent, Claude Opus 5.5 costs $8.91 (cost per test), as published by Vals AI. That is API cost on the benchmark’s own tasks, not a subscription price.

Who runs these benchmarks?

Finance Agent is run by Vals AI. CorpFin v2 is run by Vals AI. ChatJudge does not run the tests; we copy the published scores with a link to the source.

What don't these benchmarks tell you about financial analysis?

Neither benchmark scores your own books, forecasts or private company data. A correct answer on a filing question is not investment advice, and these scores say nothing about returns.