Model comparison
Claude Opus 5 vs Gemma 3 12B
Claude Opus 5 is the stronger model overall, scoring 67.8 to 32.1 on the Noometry Index. Gemma 3 12B costs 133× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Last verified . 21 shared benchmarks.
GoogleSummary
- They share 21 benchmarks with published results for both. Claude Opus 5 scores higher in 9 categories and Gemma 3 12B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 5 leads 86.2 to 22.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Claude Opus 5 and 16.7% for Gemma 3 12B.
- Gemma 3 12B is cheaper at $0.05 / $0.15 per million input/output tokens, against $5 / $25 for Claude Opus 5.
- Claude Opus 5 accepts more context: 1M tokens versus 131K.
- Gemma 3 12B has downloadable open weights; the other is API-only.
Side by side
| Claude Opus 5 | Gemma 3 12B | |
|---|---|---|
| Provider | Anthropic | |
| Noometry Index | 67.8 | 32.1 |
| Released | 2026-07-24 | 2025-03-12 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 8K |
| Input $ / M tokens | $5 | $0.05 |
| Output $ / M tokens | $25 | $0.15 |
| Results tracked | 57 | 24 |
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Category by category
Coding Claude Opus 5 leads
Claude Opus 5: 67.5 (#5), Gemma 3 12B: 31.7 (#280)
| Benchmark | Claude Opus 5 | Gemma 3 12B |
|---|---|---|
| SciCode | 56.4% | 17.4% |
| LMArena Coding | 1534 | 1281 |
| DeepSWE | 73.6% | — |
| FrontierCode | 53.4% | — |
| CursorBench | 46.6% | — |
| LMArena WebDev | 1691 | — |
| FrontierSWE | 52% | — |
| WeirdML | 91.8% | — |
| ALE-Bench | 2,165 | — |
Agentic & Tool Use Claude Opus 5 leads
Claude Opus 5: 55.6 (#1), Gemma 3 12B: 25.5 (#108)
| Benchmark | Claude Opus 5 | Gemma 3 12B |
|---|---|---|
| APEX-Agents | 65.8% | — |
| Berkeley Function Calling Leaderboard | — | 30.4% |
| OSWorld 2.0 | 31.4% | — |
| τ²-bench Banking | 48.7% | — |
| PostTrainBench | 35% | — |
| BALROG | 63.4% | — |
| GBAEval | 79.6% | — |
| GDP.pdf | 24% | — |
| Vending-Bench 2 | 11,182 | — |
Reasoning Claude Opus 5 leads
Claude Opus 5: 77.2 (#4), Gemma 3 12B: 15.7 (#313)
| Benchmark | Claude Opus 5 | Gemma 3 12B |
|---|---|---|
| CritPt | 29.1% | 0% |
| Chess Puzzles | 42% | 0% |
| LMArena Hard Prompts | 1526 | 1309 |
| DTBench | 97.9% | 48.8% |
| LMCA | 64.5% | 4.5% |
| Epoch Capabilities Index | 162.78 | 123.5 |
| ARC-AGI-2 | 90.4% | — |
| SimpleBench | 80.6% | — |
| NYT Connections (extended) | 94.3% | — |
| ARC-AGI-1 | 97.5% | — |
| EBR-Bench | 45.7% | — |
| Mystery Game Puzzles | 59% | — |
| Bench to the Future 3 | 0.12 | — |
Math Claude Opus 5 leads
Claude Opus 5: 86.2 (#8), Gemma 3 12B: 22.3 (#279)
| Benchmark | Claude Opus 5 | Gemma 3 12B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 16.7% |
| LMArena Math | 1531 | 1307 |
| FrontierMath (Tiers 1-3) | 85.6% | — |
| FrontierMath Tier 4 | 73.2% | — |
| ProofBench | 99% | — |
Knowledge Claude Opus 5 leads
Claude Opus 5: 66.8 (#9), Gemma 3 12B: 26.5 (#257)
| Benchmark | Claude Opus 5 | Gemma 3 12B |
|---|---|---|
| GPQA Diamond | 93.9% | 39.5% |
| LMArena Expert | 1557 | 1248 |
| SimpleQA Verified | 59.9% | — |
| Vectara Hallucination Rate | — | 4.4% |
Multimodal Not comparable
Claude Opus 5: 50.8 (#8), Gemma 3 12B: —
| Benchmark | Claude Opus 5 | Gemma 3 12B |
|---|---|---|
| LMArena Vision | 1319 | — |
| Blueprint-Bench 2 | 30.4% | — |
| Furniture Assembly | 60.8% | — |
| LMArena Document | 1516 | — |
| MindCube | — | 46.7% |
Multilingual Claude Opus 5 leads
Claude Opus 5: 58.8 (#4), Gemma 3 12B: 45.7 (#165)
| Benchmark | Claude Opus 5 | Gemma 3 12B |
|---|---|---|
| LMArena Non-English | 1501 | 1318 |
| LMArena German | 1524 | 1370 |
| LMArena Russian | 1507 | 1335 |
| LMArena Chinese | 1574 | — |
| LMArena French | 1519 | — |
| LMArena Japanese | 1516 | — |
| LMArena Korean | 1521 | — |
| LMArena Spanish | 1519 | — |
Instruction Following Claude Opus 5 leads
Claude Opus 5: 79.2 (#7), Gemma 3 12B: 68.6 (#186)
| Benchmark | Claude Opus 5 | Gemma 3 12B |
|---|---|---|
| LMArena Instruction Following | 1517 | 1299 |
Long Context Claude Opus 5 leads
Claude Opus 5: 46.5 (#21), Gemma 3 12B: 40.0 (#162)
| Benchmark | Claude Opus 5 | Gemma 3 12B |
|---|---|---|
| LMArena Longer Query | 1515 | 1317 |
Writing & Preference Claude Opus 5 leads
Claude Opus 5: 79.2 (#1), Gemma 3 12B: 47.5 (#209)
| Benchmark | Claude Opus 5 | Gemma 3 12B |
|---|---|---|
| LMArena Text | 1507 | 1334 |
| LMArena Creative Writing | 1491 | 1331 |
| EQ-Bench Creative Writing | 2133 | 1126 |
| LMArena Multi-Turn | 1499 | 1334 |
| EQ-Bench 4 | 1385 | — |
Frequently asked questions
Is Claude Opus 5 better than Gemma 3 12B?
Claude Opus 5 is the stronger model overall, scoring 67.8 to 32.1 on the Noometry Index. Gemma 3 12B costs 133× less per token, which makes it the better buy when Claude Opus 5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 5 or Gemma 3 12B?
Gemma 3 12B is cheaper. It lists at $0.05 per million input tokens and $0.15 per million output tokens; Claude Opus 5 lists at $5 and $25.
Is Claude Opus 5 or Gemma 3 12B better for coding?
Claude Opus 5 scores higher on coding benchmarks: 67.5 versus 31.7 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 5 does, with 1M tokens against 131K.
How many benchmarks do Claude Opus 5 and Gemma 3 12B share?
21 benchmarks have published results for both models. Claude Opus 5 has 57 scored results on Noometry and Gemma 3 12B has 24.