Model comparison
Claude 3 Opus vs Llama-3.3-70B-Instruct
Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.6 to 29.5 on the Noometry Index.
Last verified . 37 shared benchmarks.
Summary
- They share 37 benchmarks with published results for both. Claude 3 Opus scores higher in 4 categories and Llama-3.3-70B-Instruct in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in long context, where Claude 3 Opus leads 38.2 to 26.4.
- The biggest single-benchmark swing is LiveBench Instruction Following: 63.9% for Claude 3 Opus and 82.7% for Llama-3.3-70B-Instruct.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude 3 Opus | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 29.5 | 30.6 |
| Released | 2024-02-29 | 2024-12-06 |
| Weights | Proprietary | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.32 |
| Results tracked | 46 | 43 |
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Category by category
Coding Claude 3 Opus leads
Claude 3 Opus: 32.9 (#267), Llama-3.3-70B-Instruct: 31.0 (#290)
| Benchmark | Claude 3 Opus | Llama-3.3-70B-Instruct |
|---|---|---|
| WeirdML | 19.2% | 14.4% |
| BigCodeBench Instruct | 45.5% | 46.9% |
| LiveBench Coding | 38.6% | 36.6% |
| LMArena Coding | 1264 | 1268 |
| BigCodeBench Complete | 57.4% | 57.5% |
| SciCode | — | 26% |
| HumanEval+ | 77.4% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Llama-3.3-70B-Instruct leads
Claude 3 Opus: 24.6 (#116), Llama-3.3-70B-Instruct: 25.8 (#105)
| Benchmark | Claude 3 Opus | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| Cybench | 10% | — |
| BALROG | — | 23% |
| METR Time Horizons | 29.5% | — |
Reasoning Too close to call
Claude 3 Opus: 14.6 (#324), Llama-3.3-70B-Instruct: 14.1 (#327)
| Benchmark | Claude 3 Opus | Llama-3.3-70B-Instruct |
|---|---|---|
| SimpleBench | 23.5% | 19.9% |
| LiveBench Reasoning | 40.6% | 50.8% |
| LMArena Hard Prompts | 1245 | 1257 |
| DTBench | 61.6% | 59.5% |
| LiveBench Data Analysis | 57.9% | 49.5% |
| LMCA | 17% | 17.5% |
| Epoch Capabilities Index | 126.91 | 127.33 |
| ForecastBench | 58.4 | 58.6 |
| LiveBench | 49.2% | 50.2% |
| CritPt | — | 0% |
| Chess Puzzles | 5% | — |
| EnigmaEval | 0.8% | — |
| WinoGrande | 88.5% | — |
Math Too close to call
Claude 3 Opus: 14.8 (#299), Llama-3.3-70B-Instruct: 15.3 (#298)
| Benchmark | Claude 3 Opus | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.7% | 5.1% |
| LiveBench Math | 43.6% | 42.2% |
| LMArena Math | 1273 | 1267 |
| MATH Level 5 | 37.5% | 41.6% |
Knowledge Llama-3.3-70B-Instruct leads
Claude 3 Opus: 24.5 (#267), Llama-3.3-70B-Instruct: 30.6 (#226)
| Benchmark | Claude 3 Opus | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | 47.2% | 47.4% |
| Confabulations | 22.7% | 22.8% |
| LMArena Expert | 1223 | 1225 |
| MMLU | 84.6% | 86.3% |
| SimpleQA Verified | 12.6% | — |
| Vectara Hallucination Rate | — | 4.1% |
Multimodal Not comparable
Claude 3 Opus: 27.1 (#116), Llama-3.3-70B-Instruct: —
| Benchmark | Claude 3 Opus | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Vision | 1023 | — |
Multilingual Claude 3 Opus leads
Claude 3 Opus: 41.4 (#207), Llama-3.3-70B-Instruct: 39.9 (#220)
| Benchmark | Claude 3 Opus | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1258 | 1236 |
| LMArena Chinese | 1248 | 1217 |
| LMArena French | 1275 | 1281 |
| LMArena German | 1258 | 1251 |
| LMArena Japanese | 1204 | 1150 |
| LMArena Korean | 1187 | 1143 |
| LMArena Russian | 1280 | 1252 |
| LMArena Spanish | 1246 | 1270 |
Instruction Following Llama-3.3-70B-Instruct leads
Claude 3 Opus: 64.1 (#228), Llama-3.3-70B-Instruct: 71.1 (#157)
| Benchmark | Claude 3 Opus | Llama-3.3-70B-Instruct |
|---|---|---|
| LiveBench Instruction Following | 63.9% | 82.7% |
| LMArena Instruction Following | 1248 | 1242 |
Long Context Claude 3 Opus leads
Claude 3 Opus: 38.2 (#202), Llama-3.3-70B-Instruct: 26.4 (#295)
| Benchmark | Claude 3 Opus | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1259 | 1256 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference Too close to call
Claude 3 Opus: 47.2 (#213), Llama-3.3-70B-Instruct: 47.6 (#207)
| Benchmark | Claude 3 Opus | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1262 | 1274 |
| LMArena Creative Writing | 1235 | 1250 |
| LMArena Multi-Turn | 1275 | 1280 |
| LiveBench Language | 50.4% | 39.2% |
Frequently asked questions
Is Claude 3 Opus better than Llama-3.3-70B-Instruct?
Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.6 to 29.5 on the Noometry Index.
Is Claude 3 Opus or Llama-3.3-70B-Instruct better for coding?
Claude 3 Opus scores higher on coding benchmarks: 32.9 versus 31.0 in the Noometry coding category.
How many benchmarks do Claude 3 Opus and Llama-3.3-70B-Instruct share?
37 benchmarks have published results for both models. Claude 3 Opus has 46 scored results on Noometry and Llama-3.3-70B-Instruct has 43.