AnthropicClaude Haiku
Claude Haiku 4.5
Anthropic · Claude Haiku. Released Oct 15, 2025.
Claude Haiku 4.5 is a model from Anthropic in the Claude Haiku family, released Oct 15, 2025. evals.report tracks 30 reported Claude Haiku 4.5 benchmark scores across Berkeley Function Calling Leaderboard, DeepSWE, ARC-AGI-1, SWE-bench Pro, GPQA Diamond, FrontierMath, AIME (OTIS Mock), SimpleQA Verified, and 22 more — each shown with its benchmark, metric, source status, and date, and never combined into a single ranking.
30 results
Benchmark results 30
Compare this model| Benchmark | Category | Score | Metric | Status | Date | |
|---|---|---|---|---|---|---|
| Berkeley Function Calling Leaderboard | Tool use | 68.70% | accuracy | Official | Oct 15, 2025 | Details |
| DeepSWE | Coding | 0.22% | % resolved | Official | Oct 15, 2025 | Details |
| ARC-AGI-1 | Reasoning | 47.67% | accuracy | Official | Oct 15, 2025 | Details |
| SWE-bench Pro | Coding | 39.45% | % resolved | Official | Oct 15, 2025 | Details |
| GPQA Diamond | Reasoning | 71.2% | accuracy | Official | Oct 15, 2025 | Details |
| FrontierMath | Reasoning | 5.9% | accuracy | Official | Oct 15, 2025 | Details |
| AIME (OTIS Mock) | Reasoning | 66.7% | accuracy | Official | Oct 15, 2025 | Details |
| SimpleQA Verified | Other | 5.9% | accuracy | Official | Oct 15, 2025 | Details |
| ARC-AGI-2 | Reasoning | 4.03% | accuracy | Official | Oct 15, 2025 | Details |
| WeirdML | Coding | 45.4% | average accuracy | Official | Oct 15, 2025 | Details |
| Epoch Capabilities Index | Reasoning | 143.1 | Index | Official | Oct 15, 2025 | Details |
| MMLU-Pro | Reasoning | 80.0% | accuracy | Verified | Oct 15, 2025 | Details |
| GAIA: A Benchmark for General AI Assistants | Agents | 56.36% | accuracy | Unverified | Oct 15, 2025 | Details |
| τ²-bench (Telecom) | Tool use | 54.7% | pass^1 | Official | Oct 15, 2025 | Details |
| GDPval | Agents | 1171 | Elo | Official | Oct 15, 2025 | Details |
| LiveCodeBench | Coding | 51.1% | Pass@1 | Unverified | Oct 15, 2025 | Details |
| SciCode | Coding | 43.3% | accuracy | Unverified | Oct 15, 2025 | Details |
| MMMU (Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark) | Multimodal | 73.2% | accuracy | Verified | Oct 15, 2025 | Details |
| AA-Omniscience: Knowledge and Hallucination Benchmark | Reasoning | -4 | AA-Omniscience Index | Official | Oct 15, 2025 | Details |
| IFBench | Reasoning | 54.3% | accuracy | Official | Oct 15, 2025 | Details |
| MultiChallenge | Reasoning | 50.49% | accuracy | Verified | Oct 15, 2025 | Details |
| Global-MMLU | Reasoning | 83.4% | accuracy | Unverified | Oct 15, 2025 | Details |
| WebDev Arena | Chat preference | 1322 | Elo | Verified | Oct 15, 2025 | Details |
| Design Arena | Chat preference | 1169 | Elo | Verified | Oct 15, 2025 | Details |
| MCP-Universe | Tool use | 26.41% | Overall Success Rate | Verified | Oct 15, 2025 | Details |
| SWE-bench Multilingual | Coding | 64.7% | % resolved | Official | Oct 15, 2025 | Details |
| FrontierMath Tier 4 | Reasoning | 2.1% | accuracy | Official | Oct 15, 2025 | Details |
| Vectara Hallucination Leaderboard | Other | 9.8% | Hallucination Rate | Official | Oct 15, 2025 | Details |
| Gray Swan Arena (Agent Red-Teaming / Indirect Prompt Injection) | Agents | 1.3% | Attack Success Rate (ASR) | Verified | Oct 15, 2025 | Details |
| WebArena | Agents | 53.1% | Task success rate | Verified | Oct 15, 2025 | Details |