# Claude Haiku 4.5 vs Olmo 7b Instruct

> Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 30.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-haiku-4-5-vs-olmo-7b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 10

## Summary

- They share 10 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 5 categories and Olmo 7b Instruct in 1 category; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Haiku 4.5 leads 57.9 to 25.8.
- Olmo 7b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Haiku 4.5 | Olmo 7b Instruct |
|---|---|---|
| Provider | Anthropic | Allen Institute for AI (Ai2) |
| Noometry Index | 39.5 | 30.3 |
| Rank | 165 | 295 |
| Context | 200K | — |
| Input $/M | $1 | — |
| Output $/M | $5 | — |
| Weights | Proprietary | Open |

## Coding

- Claude Haiku 4.5: 44.0 (#78)
- Olmo 7b Instruct: 29.6 (#303)

| Benchmark | Claude Haiku 4.5 | Olmo 7b Instruct |
|---|---|---|
| LMArena Coding | 1453 | 1016 |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
| ALE-Bench | 653.48 | — |

## Agentic & Tool Use

- Claude Haiku 4.5: 33.6 (#52)
- Olmo 7b Instruct: —

| Benchmark | Claude Haiku 4.5 | Olmo 7b Instruct |
|---|---|---|
| Terminal-Bench | 35.5% | — |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |

## Reasoning

- Claude Haiku 4.5: 15.1 (#320)
- Olmo 7b Instruct: 18.8 (#274)

| Benchmark | Claude Haiku 4.5 | Olmo 7b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1420 | 993 |
| ARC-AGI-2 | 4% | — |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| Chess Puzzles | 8% | — |
| DTBench | 73.6% | — |
| LMCA | 30.9% | — |
| Epoch Capabilities Index | 142.41 | — |
| ForecastBench | 61.4 | — |

## Math

- Claude Haiku 4.5: 44.9 (#78)
- Olmo 7b Instruct: 30.2 (#237)

| Benchmark | Claude Haiku 4.5 | Olmo 7b Instruct |
|---|---|---|
| LMArena Math | 1396 | 1018 |
| OTIS Mock AIME 2024-2025 | 66.7% | — |
| Omni-MATH | 56.1% | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- Claude Haiku 4.5: 37.7 (#153)
- Olmo 7b Instruct: —

| Benchmark | Claude Haiku 4.5 | Olmo 7b Instruct |
|---|---|---|
| GPQA Diamond | 71.2% | — |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
| LMArena Expert | 1442 | — |

## Multimodal

- Claude Haiku 4.5: 26.8 (#118)
- Olmo 7b Instruct: —

| Benchmark | Claude Haiku 4.5 | Olmo 7b Instruct |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |

## Multilingual

- Claude Haiku 4.5: 49.9 (#129)
- Olmo 7b Instruct: 24.0 (#291)

| Benchmark | Claude Haiku 4.5 | Olmo 7b Instruct |
|---|---|---|
| LMArena Non-English | 1377 | 977 |
| LMArena Chinese | 1417 | 1014 |
| LMArena Russian | 1381 | 947 |
| LMArena French | 1408 | — |
| LMArena German | 1375 | — |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1347 | — |
| LMArena Spanish | 1420 | — |

## Instruction Following

- Claude Haiku 4.5: 71.4 (#149)
- Olmo 7b Instruct: 49.0 (#301)

| Benchmark | Claude Haiku 4.5 | Olmo 7b Instruct |
|---|---|---|
| LMArena Instruction Following | 1414 | 978 |
| IFEval | 80.1% | — |

## Long Context

- Claude Haiku 4.5: 43.6 (#92)
- Olmo 7b Instruct: —

| Benchmark | Claude Haiku 4.5 | Olmo 7b Instruct |
|---|---|---|
| LMArena Longer Query | 1427 | — |

## Writing & Preference

- Claude Haiku 4.5: 57.9 (#123)
- Olmo 7b Instruct: 25.8 (#303)

| Benchmark | Claude Haiku 4.5 | Olmo 7b Instruct |
|---|---|---|
| LMArena Text | 1396 | 1032 |
| LMArena Creative Writing | 1372 | 990 |
| LMArena Multi-Turn | 1409 | 1007 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |

## FAQ

### Is Claude Haiku 4.5 better than Olmo 7b Instruct?

Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 30.3 on the Noometry Index.

### Is Claude Haiku 4.5 or Olmo 7b Instruct better for coding?

Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 29.6 in the Noometry coding category.

### How many benchmarks do Claude Haiku 4.5 and Olmo 7b Instruct share?

10 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Olmo 7b Instruct has 10.