Model comparison
Claude Haiku 4.5 vs Olmo 2 0325 32b Instruct
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 32.7 on the Noometry Index.
Last verified . 16 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 16 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 7 categories and Olmo 2 0325 32b Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Haiku 4.5 leads 37.7 to 19.5.
- The biggest single-benchmark swing is Omni-MATH: 56.1% for Claude Haiku 4.5 and 16.1% for Olmo 2 0325 32b Instruct.
- Olmo 2 0325 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Anthropic | Allen Institute for AI (Ai2) |
| Noometry Index | 39.5 | 32.7 |
| Released | 2025-10-15 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 16 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Olmo 2 0325 32b Instruct: 35.2 (#227)
| Benchmark | Claude Haiku 4.5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1453 | 1210 |
| 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 Not comparable
Claude Haiku 4.5: 33.6 (#52), Olmo 2 0325 32b Instruct: —
| Benchmark | Claude Haiku 4.5 | Olmo 2 0325 32b 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 Olmo 2 0325 32b Instruct leads
Claude Haiku 4.5: 15.1 (#320), Olmo 2 0325 32b Instruct: 23.6 (#175)
| Benchmark | Claude Haiku 4.5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1208 |
| 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 leads
Claude Haiku 4.5: 44.9 (#78), Olmo 2 0325 32b Instruct: 26.8 (#255)
| Benchmark | Claude Haiku 4.5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| Omni-MATH | 56.1% | 16.1% |
| LMArena Math | 1396 | 1208 |
| OTIS Mock AIME 2024-2025 | 66.7% | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Claude Haiku 4.5 leads
Claude Haiku 4.5: 37.7 (#153), Olmo 2 0325 32b Instruct: 19.5 (#279)
| Benchmark | Claude Haiku 4.5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| MMLU-Pro | 77.7% | 41.4% |
| GPQA (HELM) | 60.5% | 28.7% |
| GPQA Diamond | 71.2% | — |
| SimpleQA Verified | 13.2% | — |
| Vectara Hallucination Rate | 9.8% | — |
| LMArena Expert | 1442 | — |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), Olmo 2 0325 32b Instruct: —
| Benchmark | Claude Haiku 4.5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 49.9 (#129), Olmo 2 0325 32b Instruct: 34.8 (#248)
| Benchmark | Claude Haiku 4.5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1377 | 1160 |
| LMArena Chinese | 1417 | 1192 |
| LMArena Russian | 1381 | 1187 |
| LMArena French | 1408 | — |
| LMArena German | 1375 | — |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1347 | — |
| LMArena Spanish | 1420 | — |
Instruction Following Claude Haiku 4.5 leads
Claude Haiku 4.5: 71.4 (#149), Olmo 2 0325 32b Instruct: 61.5 (#244)
| Benchmark | Claude Haiku 4.5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| IFEval | 80.1% | 78% |
| LMArena Instruction Following | 1414 | 1186 |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#92), Olmo 2 0325 32b Instruct: 36.2 (#234)
| Benchmark | Claude Haiku 4.5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1427 | 1194 |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Olmo 2 0325 32b Instruct: 42.1 (#236)
| Benchmark | Claude Haiku 4.5 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1396 | 1218 |
| LMArena Creative Writing | 1372 | 1199 |
| WildBench | 83.9% | 73.4% |
| LMArena Multi-Turn | 1409 | 1221 |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Olmo 2 0325 32b Instruct?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 32.7 on the Noometry Index.
Is Claude Haiku 4.5 or Olmo 2 0325 32b Instruct better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 35.2 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and Olmo 2 0325 32b Instruct share?
16 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.