Claude Haiku 4.5
Claude Haiku 4.5 (Anthropic) was released on Oct 15, 2025. In the Epoch AI capability ranking (ECI), it ranks #112 out of 267 models, with 142.40. On Arena, which measures human preference in blind comparisons, it has 1,454 ELO points (#94). Against models of the same generation, its best result is on SciCode: 42.2%, #7 of 27.
Where Claude Haiku 4.5 stands out and where it falls behind, by the numbers
Claude Haiku 4.5 has published results on 23 tests compiled by Epoch AI. The yardstick here is its generation: its position among the models released between Jan 18, 2025 and Jan 13, 2026 that took the same test. Against the whole archive, which includes 2023 models, a recent release lands near the top of almost everything, and that says nothing.
Where it stands out
Tests where it sits in the top third of its own generation.
Where it falls behind
Tests where it sits in the bottom half of its own generation.
See all 23 tests, one by one
| Test | Score | In its generation | Overall | Test record |
|---|---|---|---|---|
| GPQA Diamond | 71.2% | #26 / 56 | #100 / 173 | 96.4% Gemini 4 Argon |
| AIME 2024 and 2025 (OTIS) | 66.7% | #27 / 56 | #102 / 168 | 100.0% GPT-5.5 |
| Dtbench | 73.6% | #24 / 47 | #88 / 148 | 98.9% Claude Opus 5.5 |
| Lmca | 30.94 | #13 / 41 | #71 / 121 | 68.23 Claude Opus 5.5 |
| CritPt | 0.0% | #20 / 32 (tied with 12) | #91 / 112 | 32.3% GPT-5.6 Sol |
| WeirdML | 45.4% | #18 / 41 | #60 / 112 | 93.6% GPT-6 Astra |
| SciCode | 42.2% | #7 / 27 | #71 / 104 | 66.9% Claude Opus 5.5 |
| ARC-AGI 2 | 4.0% | #19 / 36 (tied with 1) | #62 / 83 | 95.0% GPT-6 Astra |
| ALE-Bench | 653 | #17 / 25 | #67 / 82 | 2,951 GPT-6 Astra |
| WebDev Arena | 1,329 | #12 / 15 | #75 / 82 | 1,820 Claude Opus 5.5 |
| ARC-AGI | 47.7% | #17 / 35 | #59 / 81 | 98.5% Claude Fable 5 |
| SimpleQA Verified | 13.2% | #15 / 18 | #74 / 81 | 76.0% Gemini 4 Argon |
| Chess puzzles | 8.0% | #15 / 18 | #73 / 80 | 76.0% GPT-6 Astra |
| MATH level 5 | 96.4% | #9 / 32 | #9 / 73 | 98.1% GPT-5 |
| FrontierMath | 5.9% | #19 / 35 | #42 / 65 | 51.7% GPT-5.5 |
| ForecastBench | 61.40 | #7 / 28 (tied with 1) | #8 / 62 | 62.50 o3 |
| Vending Bench 2 | 459 | #10 / 14 | #50 / 57 | 15,515 GPT-6 Astra |
| FrontierMath tier 4 | 2.1% | #17 / 26 (tied with 3) | #34 / 48 | 39.6% GPT-5.5 Pro |
| Terminal-Bench | 35.5% | #11 / 19 | #23 / 33 | 84.7% GPT-5.5 |
| BALROG | 31.2% | #9 / 11 | #17 / 32 | 68.3% GPT-6 Astra |
| Blueprint Bench 2 | 0.0% | #1 / 2 (tied with 1) | #28 / 31 | 54.4% Gemini 4 Argon |
| DeepResearch Bench | 45.5% | #10 / 16 | #15 / 24 | 55.3% Claude Opus 4.6 |
| Exploitbench | 13.7% | #1 / 1 | #7 / 8 | 47.4% GPT-5.5 |
For each test, the model's best effort level counts, as in the ranking. Source of the scores: Epoch AI, under CC BY 4.0.
What to compare Claude Haiku 4.5 with
The models from other labs closest in capability and released in the same period, at most two per lab. Click any of them to see its page.
| Model | Lab | ECI | ELO | LiveBench | Release |
|---|---|---|---|---|---|
| Gemma 4 31B IT | Google DeepMind | 142.86 | n/a | n/a | Apr 2, 2026 |
| Qwen3-Max-Instruct | Alibaba | 142.46 | n/a | n/a | Sep 24, 2025 |
| GPT-5.5 Instant | OpenAI | 142.45 | 1,456 | n/a | May 5, 2026 |
| Claude Haiku 4.5 | Anthropic | 142.40 | 1,454 | n/a | Oct 15, 2025 |
| Qwen3-Max | Alibaba | 142.34 | 1,478 | n/a | Sep 24, 2025 |
| Gemma 4 26B A4B | Google DeepMind | 141.81 | 1,495 | n/a | Apr 2, 2026 |
| Mistral Medium 3.5 | Mistral AI | 141.47 | 1,461 | n/a | Apr 28, 2026 |
Claude Haiku 4.5 or Qwen3-Max?
Qwen3-Max is the model from another lab closest to Claude Haiku 4.5 in capability. Across the 8 tests both took, this is the score:
| Test | Claude Haiku 4.5 | Qwen3-Max |
|---|---|---|
| Vending Bench 2 | 459 | 71.57 |
| SimpleQA Verified | 13.2% | 48.7% |
| ALE-Bench | 653 | 370 |
| Dtbench | 73.6% | 82.1% |
| AIME 2024 and 2025 (OTIS) | 66.7% | 73.3% |
| Lmca | 30.94 | 28.27 |
| GPQA Diamond | 71.2% | 72.6% |
| MATH level 5 | 96.4% | 97.1% |
Unweighted score: each test counts one point, whether math or coding. The dot marks who did better on each row.
What Claude Haiku 4.5 costs to deliver each task
Price per token is what is on the price sheet; cost per task is what lands on the invoice, because it depends on how many tokens the model spends. Each point is an effort level, published by whoever ran the test and compiled by Epoch AI. The further up and to the left, the more score per dollar.
ARC-AGI 2
The score scale does not start at zero.
ARC-AGI
The score scale does not start at zero.
Other models from Anthropic
The models from the same lab closest in time, newest first.
| Model | Release | ECI | ELO | LiveBench | Access |
|---|---|---|---|---|---|
| Claude Opus 4.7 | Apr 16, 2026 | 156.32 | 1,532 | 76.5 | API access |
| Claude Sonnet 4.6 | Feb 17, 2026 | 152.39 | 1,504 | 73.0 | API access |
| Claude Opus 4.6 | Feb 5, 2026 | 155.27 | 1,550 | 74.5 | API access |
| Claude Opus 4.5 | Nov 24, 2025 | 150.17 | 1,504 | 72.6 | API access |
| Claude Haiku 4.5 | Oct 15, 2025 | 142.40 | 1,454 | n/a | API access |
| Claude Sonnet 4.5 | Sep 29, 2025 | 146.83 | 1,488 | n/a | API access |
| Claude Opus 4.1 | Aug 5, 2025 | 144.09 | 1,479 | n/a | API access |
| Claude Opus 4 | May 22, 2025 | 142.65 | 1,442 | n/a | API access |
| Claude Sonnet 4 | May 22, 2025 | 141.67 | 1,414 | n/a | API access |
Have you used Claude Haiku 4.5? Rate it
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What people ask about Claude Haiku 4.5
Where does Claude Haiku 4.5 rank among AI models?
In the ROO3 AI Benchmark, ordered by the Epoch AI ECI, Claude Haiku 4.5 ranks #112 out of 267 models, with an ECI of 142.40. The ECI is a composite index that combines several hard benchmarks into a single scale. The position changes when a new model comes out, and the page is refreshed six times a day.
Is Claude Haiku 4.5 better than Qwen3-Max?
Across the 8 tests both models took and Epoch AI compiled, Claude Haiku 4.5 comes out ahead on 3, behind on 5 and tied on 0. It is a test-by-test count with no weighting: a win in math counts the same as a win in coding. To choose between the two, look at the tests that resemble your own use.
What is Claude Haiku 4.5 best at?
Against models of the same generation (released up to 9 months before and up to 3 months after it), the best relative results of Claude Haiku 4.5 are: SciCode (#7 of 27); ForecastBench (#7 of 28); MATH level 5 (#9 of 32). The yardstick is its position among the models of that period that took the same test.
Where do the numbers on this page come from?
From the same three sources as the ranking, all openly licensed: Epoch AI (ECI and individual tests, CC BY 4.0), Arena (human-preference ELO, CC BY 4.0) and LiveBench (overall average, CC BY-SA 4.0). ROO3 does not measure any model. When the page shows a figure published by the maker itself, it appears in the written analysis, labeled as the maker's, and never enters the ranking.
Where each number comes from
Epoch AI, "AI Benchmarking Hub". Published at epoch.ai. Data under the CC BY 4.0 licence, reordered by roo3.co.
The Arena (LMArena) leaderboard, from the public lmarena-ai/leaderboard-dataset on Hugging Face, under the CC BY 4.0 licence. We are not affiliated with the Arena.
LiveBench, by the LiveBench team, published at livebench.ai under the CC BY-SA 4.0 license. The overall average is recomputed by roo3.co with the same formula as the website (average of the categories), and those numbers stay under CC BY-SA 4.0. We are not affiliated with LiveBench.
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