Model comparison
Claude Haiku 4.5 vs Gemma 3n E4b IT
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 37.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 7 categories and Gemma 3n E4b IT in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 4.5 leads 44.9 to 35.1.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Gemma 3n E4b IT | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 39.5 | 37.3 |
| Released | 2025-10-15 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 18 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Gemma 3n E4b IT: 37.0 (#198)
| Benchmark | Claude Haiku 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Coding | 1453 | 1268 |
| 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), Gemma 3n E4b IT: —
| Benchmark | Claude Haiku 4.5 | Gemma 3n E4b IT |
|---|---|---|
| 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 Gemma 3n E4b IT leads
Claude Haiku 4.5: 15.1 (#320), Gemma 3n E4b IT: 19.9 (#247)
| Benchmark | Claude Haiku 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Hard Prompts | 1420 | 1284 |
| ARC-AGI-2 | 4% | — |
| Kagi LLM Benchmark | — | 31.5% |
| 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), Gemma 3n E4b IT: 35.1 (#188)
| Benchmark | Claude Haiku 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Math | 1396 | 1251 |
| 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), Gemma 3n E4b IT: 34.2 (#198)
| Benchmark | Claude Haiku 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Expert | 1442 | 1246 |
| 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), Gemma 3n E4b IT: —
| Benchmark | Claude Haiku 4.5 | Gemma 3n E4b IT |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Claude Haiku 4.5 leads
Claude Haiku 4.5: 49.9 (#129), Gemma 3n E4b IT: 43.4 (#183)
| Benchmark | Claude Haiku 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Non-English | 1377 | 1285 |
| LMArena Chinese | 1417 | 1309 |
| LMArena French | 1408 | 1330 |
| LMArena German | 1375 | 1311 |
| LMArena Japanese | 1339 | 1272 |
| LMArena Korean | 1347 | 1259 |
| LMArena Russian | 1381 | 1288 |
| LMArena Spanish | 1420 | 1305 |
Instruction Following Claude Haiku 4.5 leads
Claude Haiku 4.5: 71.4 (#149), Gemma 3n E4b IT: 66.1 (#210)
| Benchmark | Claude Haiku 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Instruction Following | 1414 | 1255 |
| IFEval | 80.1% | — |
Long Context Claude Haiku 4.5 leads
Claude Haiku 4.5: 43.6 (#92), Gemma 3n E4b IT: 38.7 (#191)
| Benchmark | Claude Haiku 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Longer Query | 1427 | 1276 |
Writing & Preference Claude Haiku 4.5 leads
Claude Haiku 4.5: 57.9 (#123), Gemma 3n E4b IT: 50.1 (#186)
| Benchmark | Claude Haiku 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Text | 1396 | 1306 |
| LMArena Creative Writing | 1372 | 1287 |
| LMArena Multi-Turn | 1409 | 1276 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Gemma 3n E4b IT?
Claude Haiku 4.5 is the stronger model overall, scoring 39.5 to 37.3 on the Noometry Index.
Is Claude Haiku 4.5 or Gemma 3n E4b IT better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 37.0 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and Gemma 3n E4b IT share?
17 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Gemma 3n E4b IT has 18.