Model comparison
Claude Opus 4.7 vs Gemma 3n E4b IT
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 37.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
GoogleSummary
- They share 18 benchmarks with published results for both. Claude Opus 4.7 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 4.7 leads 53.8 to 19.9.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 80.7% for Claude Opus 4.7 and 31.5% for Gemma 3n E4b IT.
- Gemma 3n E4b IT has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.7 | Gemma 3n E4b IT | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 58.3 | 37.3 |
| Released | 2026-04-14 | — |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 66 | 18 |
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Category by category
Coding Claude Opus 4.7 leads
Claude Opus 4.7: 59.6 (#13), Gemma 3n E4b IT: 37.0 (#198)
| Benchmark | Claude Opus 4.7 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Coding | 1518 | 1268 |
| SWE-bench Verified | 83.5% | — |
| FrontierCode | 38.5% | — |
| LMArena WebDev | 1558 | — |
| SciCode | 54.5% | — |
| GSO | 44.1% | — |
| WeirdML | 76.4% | — |
| MirrorCode | 31.1% | — |
| ALE-Bench | 1,323 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.7: 47.9 (#10), Gemma 3n E4b IT: —
| Benchmark | Claude Opus 4.7 | Gemma 3n E4b IT |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 49.2% | — |
| OSWorld 2.0 | 18.2% | — |
| τ²-bench Banking | 40.2% | — |
| PostTrainBench | 28.6% | — |
| ExploitBench | 26.5% | — |
| GBAEval | 43.8% | — |
| GDP.pdf | 21% | — |
| LMArena Search | 1233 | — |
| Vending-Bench 2 | 10,937 | — |
Reasoning Claude Opus 4.7 leads
Claude Opus 4.7: 53.8 (#29), Gemma 3n E4b IT: 19.9 (#247)
| Benchmark | Claude Opus 4.7 | Gemma 3n E4b IT |
|---|---|---|
| Kagi LLM Benchmark | 80.7% | 31.5% |
| LMArena Hard Prompts | 1506 | 1284 |
| ARC-AGI-2 | 75.8% | — |
| SimpleBench | 61.7% | — |
| NYT Connections (extended) | 39% | — |
| ARC-AGI-1 | 93.5% | — |
| CritPt | 12% | — |
| Chess Puzzles | 30% | — |
| Thematic Generalization | 72.8% | — |
| EBR-Bench | 19% | — |
| Mystery Game Puzzles | 28% | — |
| DTBench | 94.7% | — |
| LMCA | 52.2% | — |
| Epoch Capabilities Index | 156.25 | — |
| ForecastBench | 60.3 | — |
Math Claude Opus 4.7 leads
Claude Opus 4.7: 66.7 (#26), Gemma 3n E4b IT: 35.1 (#188)
| Benchmark | Claude Opus 4.7 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Math | 1499 | 1251 |
| FrontierMath (Tiers 1-3) | 70.2% | — |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | 73.6% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
| ProofBench | 54% | — |
| FrontierMath (Feb 2025 set) | 43.8% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
Knowledge Claude Opus 4.7 leads
Claude Opus 4.7: 62.6 (#23), Gemma 3n E4b IT: 34.2 (#198)
| Benchmark | Claude Opus 4.7 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Expert | 1521 | 1246 |
| GPQA Diamond | 90.2% | — |
| Humanity's Last Exam | 36.2% | — |
| SimpleQA Verified | 51.7% | — |
| Vectara Hallucination Rate | 12% | — |
Multimodal Not comparable
Claude Opus 4.7: 41.2 (#38), Gemma 3n E4b IT: —
| Benchmark | Claude Opus 4.7 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Vision | 1316 | — |
| Blueprint-Bench 2 | 24.5% | — |
| Furniture Assembly | 33.3% | — |
| LMArena Document | 1495 | — |
Multilingual Claude Opus 4.7 leads
Claude Opus 4.7: 57.3 (#10), Gemma 3n E4b IT: 43.4 (#183)
| Benchmark | Claude Opus 4.7 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Non-English | 1480 | 1285 |
| LMArena Chinese | 1531 | 1309 |
| LMArena French | 1503 | 1330 |
| LMArena German | 1495 | 1311 |
| LMArena Japanese | 1472 | 1272 |
| LMArena Korean | 1464 | 1259 |
| LMArena Russian | 1494 | 1288 |
| LMArena Spanish | 1495 | 1305 |
Instruction Following Claude Opus 4.7 leads
Claude Opus 4.7: 78.4 (#10), Gemma 3n E4b IT: 66.1 (#210)
| Benchmark | Claude Opus 4.7 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Instruction Following | 1498 | 1255 |
Long Context Claude Opus 4.7 leads
Claude Opus 4.7: 46.2 (#25), Gemma 3n E4b IT: 38.7 (#191)
| Benchmark | Claude Opus 4.7 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Longer Query | 1505 | 1276 |
Writing & Preference Claude Opus 4.7 leads
Claude Opus 4.7: 75.1 (#8), Gemma 3n E4b IT: 50.1 (#186)
| Benchmark | Claude Opus 4.7 | Gemma 3n E4b IT |
|---|---|---|
| LMArena Text | 1490 | 1306 |
| LMArena Creative Writing | 1486 | 1287 |
| LMArena Multi-Turn | 1505 | 1276 |
| EQ-Bench Creative Writing | 1914 | — |
| EQ-Bench 4 | 1311 | — |
Frequently asked questions
Is Claude Opus 4.7 better than Gemma 3n E4b IT?
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 37.3 on the Noometry Index.
Is Claude Opus 4.7 or Gemma 3n E4b IT better for coding?
Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 37.0 in the Noometry coding category.
How many benchmarks do Claude Opus 4.7 and Gemma 3n E4b IT share?
18 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Gemma 3n E4b IT has 18.