Anthropic / MODEL EVIDENCE

Claude Haiku 4.5

51 benchmarks · 81 observations · 56 sources · released 2025-10-15

Scores at a glance

51 benchmarks · large dot: Claude Haiku 4.5; small dots: closest models where reported

96.3696.36

Claude Haiku 4.5 · MATH level 5 · Best score (across scorers) · % ↗

1 more reported result

86.91% · Claude Haiku 4.5 · MATH level 5 · Best score (across scorers) · % · Epoch AI · MATH level 5 ↗

31.231.2

Claude Haiku 4.5 · Balrog · Average progress · % ↗

3.178.4

Claude Haiku 4.5 · Terminal Bench · Accuracy mean · % ↗

8 more reported results

28.3% · Claude Haiku 4.5 · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗

27.5% · Claude Haiku 4.5 · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗

13.9% · Claude Haiku 4.5 · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗

35.51% · Claude Haiku 4.5 (unknown thinking) · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗

29.83% · Claude Haiku 4.5 (unknown thinking) · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗

28.31% · Claude Haiku 4.5 (unknown thinking) · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗

27.53% · Claude Haiku 4.5 (unknown thinking) · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗

13.93% · Claude Haiku 4.5 (unknown thinking) · Terminal Bench · Accuracy mean · % · Epoch AI · Terminal Bench ↗

032.29

Claude Haiku 4.5 (unknown thinking) · CritPt · Accuracy · % ↗

13.373.8

Claude Haiku 4.5 (unknown thinking) · ExploitBench · Mean capability · % ↗

1 more reported result

13.4% · Claude Haiku 4.5 (unknown thinking) · ExploitBench · Mean capability · % · Epoch AI · ExploitBench ↗

LMCA ↗30.94%
2.7868.26

Claude Haiku 4.5 (unknown thinking) · LMCA · Score · % ↗

41.6598.93

Claude Haiku 4.5 (unknown thinking) · DTBench · Accuracy · % ↗

1.2766.9

Claude Haiku 4.5 (unknown thinking) · SciCode · Score · % ↗

32.9788.56

Claude Haiku 4.5 (Thinking) · LegalBench · Accuracy ↗

43.8479.31

Claude Haiku 4.5 (Thinking) · CaseLaw · Accuracy ↗

60.6160.61

Claude Haiku 4.5 (Thinking) · CorpFin · Accuracy ↗

1 more reported result

60.3 % · Claude Haiku 4.5 (Nonthinking) · CorpFin · Accuracy · Vals AI · CorpFin ↗

19.7263.57

Claude Haiku 4.5 (Thinking) · MedCode · Accuracy ↗

4.2791.43

Claude Haiku 4.5 (Thinking) · MedScribe · Accuracy ↗

30.2892.38

Claude Haiku 4.5 (Thinking) · MMLU Pro · Accuracy ↗

22.7790.64

Claude Haiku 4.5 (Thinking) · MMMU Pro · Accuracy ↗

092.39

Claude Haiku 4.5 (Thinking) (OpenHands) · Vibe Code Bench · original task set ↗

EconBench ↗12.4242 error points
12.4212.42

claude-haiku-4-5 · EconBench · EconBench prototype · risk-consistency error · published prototype observations ↗

11.179

Claude Haiku 4.5 · NYU CTF Bench · Cotool 81-challenge subset · accuracy ↗

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

18.2 percentile-point gap

17 of 26 shared benchmark comparisons

20.8 percentile-point gap

18 of 26 shared benchmark comparisons

How similarity is measured

Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

  1. Blueprint-Bench 2 | Andon Labs ↗

    Andon Labs

  2. Arena leaderboard — WebDev evaluation ↗

    Arena

  3. SciCode Benchmark | Artificial Analysis ↗

    Artificial Analysis

  4. OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning — published result table ↗

    Opsahl-Ong, Krista, Singhvi, Arnav, Collins, Jasmine, Zhou, Ivan, Wang, Cindy, Baheti, Ashutosh et al. · 2026

    All 13 authors

    Opsahl-Ong, Krista, Singhvi, Arnav, Collins, Jasmine, Zhou, Ivan, Wang, Cindy, Baheti, Ashutosh, Oertell, Owen, Portes, Jacob, Havens, Sam, Elsen, Erich, Bendersky, Michael, Zaharia, Matei, Chen, Xing

  5. BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games ↗

    Paglieri, Davide, Cupiał, Bartłomiej, Coward, Samuel, Piterbarg, Ulyana, Wolczyk, Maciej, Khan, Akbir et al. · 2024

    All 13 authors

    Paglieri, Davide, Cupiał, Bartłomiej, Coward, Samuel, Piterbarg, Ulyana, Wolczyk, Maciej, Khan, Akbir, Pignatelli, Eduardo, Kuciński, Łukasz, Pinto, Lerrel, Fergus, Rob, Foerster, Jakob Nicolaus, Parker-Holder, Jack, Rocktäschel, Tim

  6. DTBench — Conceptual Reasoning Index ↗

    Conceptual Reasoning Index

  7. LMCA — Conceptual Reasoning Index ↗

    Conceptual Reasoning Index

  8. EconBench: Economic choice by language models — claude-haiku-4-5 prototype metrics ↗

    EconBench project · 2026

  9. ARC-AGI-1 ↗

    Epoch AI

  10. ARC-AGI-2 ↗

    Epoch AI

  11. Chess Puzzles ↗

    Epoch AI

  12. CritPt v1 ↗

    Epoch AI

  13. ExploitBench v0.1 ↗

    Epoch AI

  14. FrontierMath Tier 4 (v1, old) ↗

    Epoch AI

  15. FrontierMath Tiers 1-3 (v1, old) ↗

    Epoch AI

  16. GPQA Diamond ↗

    Epoch AI

  17. MATH Level 5 ↗

    Epoch AI

  18. OTIS Mock AIME 2024-2025 ↗

    Epoch AI

  19. SimpleQA Verified ↗

    Epoch AI

  20. Terminal-Bench 2.0 ↗

    Epoch AI

  21. Vending Bench 2 — methodology and published results ↗

    Epoch AI · 2026

  22. Text Arena (Coding) ↗

    Epoch AI

  23. AI benchmarks & capabilities ↗

    Epoch AI

  24. FutureSearch Evals ↗

    FutureSearch

  25. WeirdML ↗

    Håvard Tveit Ihle

  26. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

  27. SWE-Bench Pro V2 — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

  28. NYU CTF Bench — Cotool evaluation, February 2026 ↗

    Cotool · 2026

  29. Terminal-Bench 2.0 leaderboard ↗

    Terminal-Bench Team

  30. AIME — evaluation methodology and results ↗

    Vals AI · 2026

  31. CaseLaw — evaluation methodology and results ↗

    Vals AI · 2026

  32. Code Migration v1 — evaluation methodology and results ↗

    Vals AI · 2026

  33. CorpFin — evaluation methodology and results ↗

    Vals AI · 2026

  34. Excel Modeling Benchmark v1 — evaluation methodology and results ↗

    Vals AI · 2026

  35. Finance Agent v2 — evaluation methodology and results ↗

    Vals AI · 2026

  36. GPQA Diamond — evaluation methodology and results ↗

    Vals AI · 2026

  37. Harvey's Legal Agent Benchmark v1 — evaluation methodology and results ↗

    Vals AI · 2026

  38. LiveCodeBench — evaluation methodology and results ↗

    Vals AI · 2026

  39. LegalBench — evaluation methodology and results ↗

    Vals AI · 2026

  40. Legal Research Bench — evaluation methodology and results ↗

    Vals AI · 2026

  41. MedCode — evaluation methodology and results ↗

    Vals AI · 2026

  42. MedQA — evaluation methodology and results ↗

    Vals AI · 2026

  43. MedScribe — evaluation methodology and results ↗

    Vals AI · 2026

  44. MGSM — evaluation methodology and results ↗

    Vals AI · 2026

  45. MMLU Pro — evaluation methodology and results ↗

    Vals AI · 2026

  46. MMMU Pro — evaluation methodology and results ↗

    Vals AI · 2026

  47. MortgageTax — evaluation methodology and results ↗

    Vals AI · 2026

  48. ProgramBench — evaluation methodology and results ↗

    Vals AI · 2026

  49. Public Benefits Bench — evaluation methodology and results ↗

    Vals AI · 2026

  50. Public Benefits Bench v1 — evaluation methodology and results ↗

    Vals AI · 2026

  51. SAGE — evaluation methodology and results ↗

    Vals AI · 2026

  52. SWE-bench Verified — evaluation methodology and results ↗

    Vals AI · 2026

  53. Tax Agent Bench — evaluation methodology and results ↗

    Vals AI · 2026

  54. TaxEval — evaluation methodology and results ↗

    Vals AI · 2026

  55. Vals Multimodal Index — evaluation methodology and results ↗

    Vals AI · 2026

  56. Vibe Code Bench — evaluation methodology and results ↗

    Vals AI · 2026

Names used in source tables

Claude Haiku 4.5 · Claude Haiku 4.5 (59k thinking) · Claude Haiku 4.5 (Nonthinking) · Claude Haiku 4.5 (Thinking) · Claude Haiku 4.5 (Thinking) (Mini-SWE-agent) · Claude Haiku 4.5 (Thinking) (OpenHands) · Claude Haiku 4.5 (low) · Claude Haiku 4.5 (unknown thinking) · Haiku 4.5 (Claude Code) xhigh · claude-haiku-4-5