Model comparison
Claude Opus 4.6 vs Gemma 7B
Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 30.0 on the Noometry Index.
Last verified . 14 shared benchmarks.
GoogleSummary
- They share 14 benchmarks with published results for both. Claude Opus 4.6 scores higher in 8 categories and Gemma 7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Opus 4.6 leads 73.5 to 27.1.
- Gemma 7B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.6 | Gemma 7B | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 58.2 | 30.0 |
| Released | 2026-02-04 | 2024-02-21 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 68 | 27 |
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Category by category
Coding Claude Opus 4.6 leads
Claude Opus 4.6: 57.2 (#20), Gemma 7B: 30.5 (#294)
| Benchmark | Claude Opus 4.6 | Gemma 7B |
|---|---|---|
| LMArena Coding | 1536 | 1048 |
| SWE-bench Verified | 78.7% | — |
| FrontierCode | 26.6% | — |
| SWE-bench Verified (bash only) | 75.6% | — |
| LMArena WebDev | 1547 | — |
| SWE-bench Multilingual | 72% | — |
| GSO | 41.2% | — |
| WeirdML | 78% | — |
| ALE-Bench | 996.5 | — |
| AlgoTune | 1.47 | — |
| HumanEval+ | — | 28.7% |
| MBPP+ | — | 43.4% |
Agentic & Tool Use Not comparable
Claude Opus 4.6: 51.1 (#4), Gemma 7B: —
| Benchmark | Claude Opus 4.6 | Gemma 7B |
|---|---|---|
| Terminal-Bench | 79.8% | — |
| APEX-Agents | 46.3% | — |
| Remote Labor Index | 4.2% | — |
| τ²-bench Banking | 27.3% | — |
| Cybench | 93% | — |
| DeepResearch Bench | 55.3% | — |
| GBAEval | 44.1% | — |
| LMArena Search | 1253 | — |
| METR Time Horizons | 78.9% | — |
| Vending-Bench 2 | 8,018 | — |
Reasoning Claude Opus 4.6 leads
Claude Opus 4.6: 57.8 (#23), Gemma 7B: 19.9 (#249)
| Benchmark | Claude Opus 4.6 | Gemma 7B |
|---|---|---|
| LMArena Hard Prompts | 1527 | 1042 |
| Epoch Capabilities Index | 155.24 | 111.99 |
| ARC-AGI-2 | 69.2% | — |
| SimpleBench | 67.6% | — |
| Kagi LLM Benchmark | 83.6% | — |
| NYT Connections (extended) | 92.1% | — |
| ARC-AGI-1 | 94% | — |
| Chess Puzzles | 17% | — |
| EnigmaEval | 7.6% | — |
| Thematic Generalization | 80.6% | — |
| EBR-Bench | 12.7% | — |
| Mystery Game Puzzles | 25% | — |
| DTBench | 91.2% | — |
| LMCA | 55.8% | — |
| Adversarial NLI | — | 48.7% |
| BIG-Bench Hard | — | 55.1% |
| ForecastBench | 60 | — |
| HellaSwag | — | 82.2% |
| PIQA | — | 81.2% |
| WinoGrande | — | 79% |
Math Claude Opus 4.6 leads
Claude Opus 4.6: 63.0 (#31), Gemma 7B: 31.2 (#228)
| Benchmark | Claude Opus 4.6 | Gemma 7B |
|---|---|---|
| LMArena Math | 1519 | 1066 |
| FrontierMath (Tiers 1-3) | 66% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 78.5% | — |
| OTIS Mock AIME 2024-2025 | 94.4% | — |
| ProofBench | 50% | — |
| FrontierMath (Feb 2025 set) | 40.7% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
| GSM8K | — | 46.4% |
Knowledge Claude Opus 4.6 leads
Claude Opus 4.6: 61.9 (#26), Gemma 7B: 27.3 (#252)
| Benchmark | Claude Opus 4.6 | Gemma 7B |
|---|---|---|
| LMArena Expert | 1546 | 1001 |
| GPQA Diamond | 90.5% | — |
| Humanity's Last Exam | 34.4% | — |
| SimpleQA Verified | 47% | — |
| Vectara Hallucination Rate | 12.2% | — |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 83.2% |
| MMLU | — | 66.1% |
| OpenBookQA | — | 78.6% |
| TriviaQA | — | 72.3% |
Multimodal Not comparable
Claude Opus 4.6: 37.3 (#74), Gemma 7B: —
| Benchmark | Claude Opus 4.6 | Gemma 7B |
|---|---|---|
| LMArena Vision | 1316 | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1507 | — |
Multilingual Claude Opus 4.6 leads
Claude Opus 4.6: 57.9 (#6), Gemma 7B: 25.1 (#287)
| Benchmark | Claude Opus 4.6 | Gemma 7B |
|---|---|---|
| LMArena Non-English | 1489 | 999 |
| LMArena Chinese | 1551 | 1035 |
| LMArena French | 1513 | 1025 |
| LMArena Russian | 1497 | 993 |
| LMArena German | 1502 | — |
| LMArena Japanese | 1484 | — |
| LMArena Korean | 1464 | — |
| LMArena Spanish | 1510 | — |
Instruction Following Claude Opus 4.6 leads
Claude Opus 4.6: 79.5 (#4), Gemma 7B: 51.5 (#295)
| Benchmark | Claude Opus 4.6 | Gemma 7B |
|---|---|---|
| LMArena Instruction Following | 1523 | 1017 |
Long Context Claude Opus 4.6 leads
Claude Opus 4.6: 48.1 (#13), Gemma 7B: 31.1 (#282)
| Benchmark | Claude Opus 4.6 | Gemma 7B |
|---|---|---|
| LMArena Longer Query | 1520 | 1022 |
| CL-bench | 20.7% | — |
| CL-bench Life | 17% | — |
Writing & Preference Claude Opus 4.6 leads
Claude Opus 4.6: 73.5 (#10), Gemma 7B: 27.1 (#302)
| Benchmark | Claude Opus 4.6 | Gemma 7B |
|---|---|---|
| LMArena Text | 1503 | 1056 |
| LMArena Creative Writing | 1505 | 1024 |
| LMArena Multi-Turn | 1513 | 963 |
| EQ-Bench Creative Writing | 1809 | — |
| EQ-Bench 4 | 1223 | — |
Frequently asked questions
Is Claude Opus 4.6 better than Gemma 7B?
Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 30.0 on the Noometry Index.
Is Claude Opus 4.6 or Gemma 7B better for coding?
Claude Opus 4.6 scores higher on coding benchmarks: 57.2 versus 30.5 in the Noometry coding category.
How many benchmarks do Claude Opus 4.6 and Gemma 7B share?
14 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and Gemma 7B has 27.