Model comparison
Claude Opus 4.5 vs Gemma 3n E4b IT
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 133× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
GoogleSummary
- They share 18 benchmarks with published results for both. Claude Opus 4.5 scores higher in 8 categories and Gemma 3n E4b IT in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4.5 leads 42.5 to 19.2.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 80.2% for Claude Opus 4.5 and 31.5% for Gemma 3n E4b IT.
- Gemma 3n E4b IT is cheaper at $0.06 / $0.12 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
- Claude Opus 4.5 accepts more context: 200K tokens versus 33K.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.5 | Gemma 3n E4b IT | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 50.5 | 36.7 |
| Released | 2025-11-01 | 2025-05-20 |
| Weights | Proprietary | Open |
| Context window | 200K | 33K |
| Max output | 64K | 33K |
| Input $ / M tokens | $5 | $0.06 |
| Output $ / M tokens | $25 | $0.12 |
| Results tracked | 69 | 18 |
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Category by category
Coding Claude Opus 4.5 leads
Claude Opus 4.5: 55.4 (#21), Gemma 3n E4b IT: 36.4 (#193)
| Benchmark | Claude Opus 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Coding | 1504 | 1269 |
| SWE-bench Verified | 76.7% | — |
| SWE-bench Verified (bash only) | 76.8% | — |
| LMArena WebDev | 1493 | — |
| SWE-bench Multilingual | 70.7% | — |
| GSO | 26.5% | — |
| WeirdML | 63.7% | — |
| ALE-Bench | 1,025 | — |
| AlgoTune | 1.77 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.5: 47.2 (#11), Gemma 3n E4b IT: —
| Benchmark | Claude Opus 4.5 | Gemma 3n E4b IT |
|---|---|---|
| Terminal-Bench | 63.1% | — |
| Berkeley Function Calling Leaderboard | 77.5% | — |
| GDPval | 45.5% | — |
| Remote Labor Index | 3.8% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| Cybench | 82% | — |
| DeepResearch Bench | 54.8% | — |
| OSWorld | 66.3% | — |
| BALROG | 43.5% | — |
| LMArena Search | 1180 | — |
| METR Time Horizons | 75% | — |
| Vending-Bench 2 | 4,967 | — |
Reasoning Claude Opus 4.5 leads
Claude Opus 4.5: 42.5 (#43), Gemma 3n E4b IT: 19.2 (#239)
| Benchmark | Claude Opus 4.5 | Gemma 3n E4b IT |
|---|---|---|
| Kagi LLM Benchmark | 80.2% | 31.5% |
| LMArena Hard Prompts | 1476 | 1284 |
| ARC-AGI-2 | 37.6% | — |
| SimpleBench | 62% | — |
| NYT Connections (extended) | 52.5% | — |
| ARC-AGI-1 | 80% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 11.9% | — |
| EBR-Bench | 14.3% | — |
| Mystery Game Puzzles | 22% | — |
| DTBench | 89.9% | — |
| LMCA | 44.5% | — |
| Epoch Capabilities Index | 150.1 | — |
| ForecastBench | 60.7 | — |
Math Claude Opus 4.5 leads
Claude Opus 4.5: 38.5 (#85), Gemma 3n E4b IT: 32.5 (#186)
| Benchmark | Claude Opus 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Math | 1463 | 1251 |
| FrontierMath (Tiers 1-3) | 34.4% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 86.1% | — |
| ProofBench | 36% | — |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4.5 leads
Claude Opus 4.5: 56.4 (#38), Gemma 3n E4b IT: 33.6 (#193)
| Benchmark | Claude Opus 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Expert | 1488 | 1245 |
| GPQA Diamond | 86% | — |
| Humanity's Last Exam | 25.2% | — |
| SimpleQA Verified | 45.7% | — |
| Vectara Hallucination Rate | 10.9% | — |
Multimodal Not comparable
Claude Opus 4.5: 31.1 (#99), Gemma 3n E4b IT: —
| Benchmark | Claude Opus 4.5 | Gemma 3n E4b IT |
|---|---|---|
| GeoBench | 75% | — |
| VPCT | 40% | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |
Multilingual Claude Opus 4.5 leads
Claude Opus 4.5: 54.5 (#45), Gemma 3n E4b IT: 43.5 (#179)
| Benchmark | Claude Opus 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Non-English | 1438 | 1285 |
| LMArena Chinese | 1470 | 1310 |
| LMArena French | 1471 | 1330 |
| LMArena German | 1449 | 1312 |
| LMArena Japanese | 1415 | 1274 |
| LMArena Korean | 1424 | 1259 |
| LMArena Russian | 1448 | 1288 |
| LMArena Spanish | 1455 | 1305 |
Instruction Following Claude Opus 4.5 leads
Claude Opus 4.5: 77.7 (#20), Gemma 3n E4b IT: 66.3 (#205)
| Benchmark | Claude Opus 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Instruction Following | 1478 | 1255 |
Long Context Claude Opus 4.5 leads
Claude Opus 4.5: 46.4 (#21), Gemma 3n E4b IT: 38.8 (#185)
| Benchmark | Claude Opus 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Longer Query | 1480 | 1277 |
| CL-bench | 21.1% | — |
Writing & Preference Claude Opus 4.5 leads
Claude Opus 4.5: 68.2 (#28), Gemma 3n E4b IT: 50.3 (#181)
| Benchmark | Claude Opus 4.5 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Text | 1451 | 1306 |
| LMArena Creative Writing | 1445 | 1287 |
| LMArena Multi-Turn | 1466 | 1276 |
| EQ-Bench Creative Writing | 1687 | — |
Frequently asked questions
Is Claude Opus 4.5 better than Gemma 3n E4b IT?
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 36.7 on the Noometry Index. Gemma 3n E4b IT costs 133× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.5 or Gemma 3n E4b IT?
Gemma 3n E4b IT is cheaper. It lists at $0.06 per million input tokens and $0.12 per million output tokens; Claude Opus 4.5 lists at $5 and $25.
Is Claude Opus 4.5 or Gemma 3n E4b IT better for coding?
Claude Opus 4.5 scores higher on coding benchmarks: 55.4 versus 36.4 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4.5 does, with 200K tokens against 33K.
How many benchmarks do Claude Opus 4.5 and Gemma 3n E4b IT share?
18 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and Gemma 3n E4b IT has 18.