Model comparison
Claude Haiku 4.5 vs Granite 3.0 8b Instruct
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 31.6 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 7 categories and Granite 3.0 8b Instruct in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Haiku 4.5 leads 57.9 to 31.1.
- Granite 3.0 8b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Granite 3.0 8b Instruct | |
|---|---|---|
| Provider | Anthropic | IBM |
| Noometry Index | 39.5 | 31.6 |
| Released | 2025-10-15 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 14 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Granite 3.0 8b Instruct: 29.7 (#301)
| Benchmark | Claude Haiku 4.5 | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Coding | 1453 | 1112 |
| SWE-bench Verified (bash only) | 66.6% | — |
| LMArena WebDev | 1330 | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
| BigCodeBench Instruct | — | 29.3% |
| BigCodeBench Complete | — | 35.4% |
| ALE-Bench | 653.48 | — |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.6 (#52), Granite 3.0 8b Instruct: —
| Benchmark | Claude Haiku 4.5 | Granite 3.0 8b 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 Granite 3.0 8b Instruct leads
Claude Haiku 4.5: 15.1 (#320), Granite 3.0 8b Instruct: 20.9 (#230)
| Benchmark | Claude Haiku 4.5 | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1092 |
| 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), Granite 3.0 8b Instruct: 32.8 (#210)
| Benchmark | Claude Haiku 4.5 | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Math | 1396 | 1143 |
| 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), Granite 3.0 8b Instruct: 29.6 (#236)
| Benchmark | Claude Haiku 4.5 | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Expert | 1442 | 1087 |
| 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), Granite 3.0 8b Instruct: —
| Benchmark | Claude Haiku 4.5 | Granite 3.0 8b Instruct |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 49.9 (#129), Granite 3.0 8b Instruct: 27.2 (#276)
| Benchmark | Claude Haiku 4.5 | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Non-English | 1377 | 1037 |
| LMArena Chinese | 1417 | 1063 |
| LMArena Russian | 1381 | 1060 |
| 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), Granite 3.0 8b Instruct: 56.0 (#276)
| Benchmark | Claude Haiku 4.5 | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Instruction Following | 1414 | 1088 |
| IFEval | 80.1% | — |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#92), Granite 3.0 8b Instruct: 34.0 (#252)
| Benchmark | Claude Haiku 4.5 | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Longer Query | 1427 | 1122 |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Granite 3.0 8b Instruct: 31.1 (#285)
| Benchmark | Claude Haiku 4.5 | Granite 3.0 8b Instruct |
|---|---|---|
| LMArena Text | 1396 | 1096 |
| LMArena Creative Writing | 1372 | 1071 |
| LMArena Multi-Turn | 1409 | 1063 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Granite 3.0 8b Instruct?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 31.6 on the Noometry Index.
Is Claude Haiku 4.5 or Granite 3.0 8b Instruct better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 29.7 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and Granite 3.0 8b Instruct share?
12 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Granite 3.0 8b Instruct has 14.