Model comparison
Claude Opus 4.6 vs Gemma 1.1 7b IT
Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 31.3 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Claude Opus 4.6 scores higher in 8 categories and Gemma 1.1 7b IT 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 30.4.
- Gemma 1.1 7b IT has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 4.6 | Gemma 1.1 7b IT | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 58.2 | 31.3 |
| Released | 2026-02-04 | — |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 68 | 19 |
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Category by category
Coding Claude Opus 4.6 leads
Claude Opus 4.6: 57.2 (#20), Gemma 1.1 7b IT: 31.5 (#284)
| Benchmark | Claude Opus 4.6 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Coding | 1536 | 1084 |
| 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+ | — | 35.4% |
| MBPP+ | — | 45% |
Agentic & Tool Use Not comparable
Claude Opus 4.6: 51.1 (#4), Gemma 1.1 7b IT: —
| Benchmark | Claude Opus 4.6 | Gemma 1.1 7b IT |
|---|---|---|
| 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 1.1 7b IT: 20.5 (#238)
| Benchmark | Claude Opus 4.6 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Hard Prompts | 1527 | 1071 |
| 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% | — |
| Epoch Capabilities Index | 155.24 | — |
| ForecastBench | 60 | — |
Math Claude Opus 4.6 leads
Claude Opus 4.6: 63.0 (#31), Gemma 1.1 7b IT: 32.0 (#220)
| Benchmark | Claude Opus 4.6 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Math | 1519 | 1107 |
| 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% | — |
Knowledge Claude Opus 4.6 leads
Claude Opus 4.6: 61.9 (#26), Gemma 1.1 7b IT: 28.3 (#247)
| Benchmark | Claude Opus 4.6 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Expert | 1546 | 1039 |
| GPQA Diamond | 90.5% | — |
| Humanity's Last Exam | 34.4% | — |
| SimpleQA Verified | 47% | — |
| Vectara Hallucination Rate | 12.2% | — |
Multimodal Not comparable
Claude Opus 4.6: 37.3 (#74), Gemma 1.1 7b IT: —
| Benchmark | Claude Opus 4.6 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Vision | 1316 | — |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1507 | — |
Multilingual Claude Opus 4.6 leads
Claude Opus 4.6: 57.9 (#6), Gemma 1.1 7b IT: 28.1 (#273)
| Benchmark | Claude Opus 4.6 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Non-English | 1489 | 1052 |
| LMArena Chinese | 1551 | 1061 |
| LMArena French | 1513 | 1065 |
| LMArena German | 1502 | 1054 |
| LMArena Japanese | 1484 | 971 |
| LMArena Korean | 1464 | 988 |
| LMArena Russian | 1497 | 1046 |
| LMArena Spanish | 1510 | 1049 |
Instruction Following Claude Opus 4.6 leads
Claude Opus 4.6: 79.5 (#4), Gemma 1.1 7b IT: 54.0 (#283)
| Benchmark | Claude Opus 4.6 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Instruction Following | 1523 | 1057 |
Long Context Claude Opus 4.6 leads
Claude Opus 4.6: 48.1 (#13), Gemma 1.1 7b IT: 32.1 (#272)
| Benchmark | Claude Opus 4.6 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Longer Query | 1520 | 1056 |
| CL-bench | 20.7% | — |
| CL-bench Life | 17% | — |
Writing & Preference Claude Opus 4.6 leads
Claude Opus 4.6: 73.5 (#10), Gemma 1.1 7b IT: 30.4 (#288)
| Benchmark | Claude Opus 4.6 | Gemma 1.1 7b IT |
|---|---|---|
| LMArena Text | 1503 | 1094 |
| LMArena Creative Writing | 1505 | 1060 |
| LMArena Multi-Turn | 1513 | 1040 |
| EQ-Bench Creative Writing | 1809 | — |
| EQ-Bench 4 | 1223 | — |
Frequently asked questions
Is Claude Opus 4.6 better than Gemma 1.1 7b IT?
Claude Opus 4.6 is the stronger model overall, scoring 58.2 to 31.3 on the Noometry Index.
Is Claude Opus 4.6 or Gemma 1.1 7b IT better for coding?
Claude Opus 4.6 scores higher on coding benchmarks: 57.2 versus 31.5 in the Noometry coding category.
How many benchmarks do Claude Opus 4.6 and Gemma 1.1 7b IT share?
17 benchmarks have published results for both models. Claude Opus 4.6 has 68 scored results on Noometry and Gemma 1.1 7b IT has 19.