Model comparison
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.
Last verified . 10 shared benchmarks.
Allen Institute for AI (Ai2)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.
Side by side
| Claude Haiku 4.5 | Olmo 7b Instruct | |
|---|---|---|
| Provider | Anthropic | Allen Institute for AI (Ai2) |
| Noometry Index | 39.5 | 30.3 |
| Released | 2025-10-15 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 10 |
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Category by category
Coding Claude Haiku 4.5 leads
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 Not comparable
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 Olmo 7b Instruct leads
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 leads
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 Not comparable
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 Not comparable
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 leads
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 leads
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 Not comparable
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 leads
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 | — |
Frequently asked questions
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.