Model comparison
Claude Haiku 4.5 vs Olmo 3.1 32b Think
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 37.9 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 7 categories and Olmo 3.1 32b Think in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Claude Haiku 4.5 leads 49.9 to 38.1.
- Olmo 3.1 32b Think has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Anthropic | Allen Institute for AI (Ai2) |
| Noometry Index | 39.5 | 37.9 |
| Released | 2025-10-15 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 15 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1453 | 1291 |
| 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 3.1 32b Think: —
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Think |
|---|---|---|
| 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 3.1 32b Think leads
Claude Haiku 4.5: 15.1 (#320), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1272 |
| 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 3.1 32b Think: 36.3 (#168)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1396 | 1305 |
| 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 leads
Claude Haiku 4.5: 37.7 (#153), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1442 | 1295 |
| GPQA Diamond | 71.2% | — |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), Olmo 3.1 32b Think: —
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Think |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 49.9 (#129), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1377 | 1209 |
| LMArena Chinese | 1417 | 1242 |
| LMArena French | 1408 | 1260 |
| LMArena German | 1375 | 1262 |
| LMArena Russian | 1381 | 1193 |
| LMArena Spanish | 1420 | 1289 |
| LMArena Japanese | 1339 | — |
| LMArena Korean | 1347 | — |
Instruction Following Claude Haiku 4.5 leads
Claude Haiku 4.5: 71.4 (#149), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1414 | 1247 |
| IFEval | 80.1% | — |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#92), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1427 | 1272 |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1396 | 1272 |
| LMArena Creative Writing | 1372 | 1226 |
| LMArena Multi-Turn | 1409 | 1252 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Olmo 3.1 32b Think?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 37.9 on the Noometry Index.
Is Claude Haiku 4.5 or Olmo 3.1 32b Think better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 37.7 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and Olmo 3.1 32b Think share?
15 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Olmo 3.1 32b Think has 15.