Model comparison
Claude Haiku 4.5 vs Olmo 3.1 32b Instruct
Claude Haiku 4.5 and Olmo 3.1 32b Instruct score almost the same on the Noometry Index (39.3 vs 38.8), so choose on price, context window or the category you care about most.
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 3.1 32b Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Olmo 3.1 32b Instruct leads 25.4 to 15.1.
- Olmo 3.1 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | Anthropic | Allen Institute for AI (Ai2) |
| Noometry Index | 39.3 | 38.8 |
| 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: 43.9 (#71), Olmo 3.1 32b Instruct: 38.9 (#154)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1454 | 1346 |
| 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: 33.5 (#50), Olmo 3.1 32b Instruct: —
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 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 3.1 32b Instruct leads
Claude Haiku 4.5: 15.1 (#310), Olmo 3.1 32b Instruct: 25.4 (#131)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1322 |
| 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 | 142.42 | — |
| ForecastBench | 61.4 | — |
Math Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.0 (#69), Olmo 3.1 32b Instruct: 33.6 (#169)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1395 | 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: 37.6 (#146), Olmo 3.1 32b Instruct: 35.4 (#175)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1443 | 1307 |
| 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: 27.0 (#111), Olmo 3.1 32b Instruct: —
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 50.1 (#124), Olmo 3.1 32b Instruct: 42.8 (#185)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1376 | 1275 |
| LMArena Chinese | 1415 | 1304 |
| LMArena French | 1408 | 1328 |
| LMArena German | 1377 | 1283 |
| LMArena Korean | 1346 | 1206 |
| LMArena Russian | 1380 | 1268 |
| LMArena Spanish | 1420 | 1337 |
| LMArena Japanese | 1339 | — |
Instruction Following Claude Haiku 4.5 leads
Claude Haiku 4.5: 71.6 (#144), Olmo 3.1 32b Instruct: 68.8 (#182)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1414 | 1298 |
| IFEval | 80.1% | — |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#86), Olmo 3.1 32b Instruct: 39.9 (#161)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1427 | 1312 |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 58.1 (#119), Olmo 3.1 32b Instruct: 50.4 (#179)
| Benchmark | Claude Haiku 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1396 | 1311 |
| LMArena Creative Writing | 1371 | 1264 |
| LMArena Multi-Turn | 1409 | 1309 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Olmo 3.1 32b Instruct?
Claude Haiku 4.5 and Olmo 3.1 32b Instruct score almost the same on the Noometry Index (39.3 vs 38.8), so choose on price, context window or the category you care about most.
Is Claude Haiku 4.5 or Olmo 3.1 32b Instruct better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 43.9 versus 38.9 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Olmo 3.1 32b Instruct has 16.