Model comparison
Claude 3 Sonnet vs Llama-3.3-70B-Instruct
Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.3 to 28.8 on the Noometry Index.
Last verified . 26 shared benchmarks.
Summary
- They share 26 benchmarks with published results for both. Claude 3 Sonnet scores higher in 2 categories and Llama-3.3-70B-Instruct in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in long context, where Claude 3 Sonnet leads 36.7 to 26.4.
- The biggest single-benchmark swing is MATH Level 5: 18.2% for Claude 3 Sonnet and 41.6% 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 Sonnet | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 28.8 | 30.3 |
| 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 | 30 | 43 |
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Category by category
Coding Llama-3.3-70B-Instruct leads
Claude 3 Sonnet: 29.2 (#296), Llama-3.3-70B-Instruct: 30.6 (#284)
| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| WeirdML | 10.2% | 14.4% |
| BigCodeBench Instruct | 42.7% | 46.9% |
| LMArena Coding | 1223 | 1268 |
| BigCodeBench Complete | 53.8% | 57.5% |
| SciCode | — | 26% |
| LiveBench Coding | — | 36.6% |
| HumanEval+ | 64% | — |
| MBPP+ | 69.3% | — |
Agentic & Tool Use Not comparable
Claude 3 Sonnet: —, Llama-3.3-70B-Instruct: 25.6 (#100)
| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |
Reasoning Claude 3 Sonnet leads
Claude 3 Sonnet: 19.7 (#232), Llama-3.3-70B-Instruct: 13.7 (#325)
| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1197 | 1257 |
| DTBench | 53.6% | 59.5% |
| Epoch Capabilities Index | 120.69 | 127.32 |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |
| WinoGrande | 75.1% | — |
Math Llama-3.3-70B-Instruct leads
Claude 3 Sonnet: 10.0 (#305), Llama-3.3-70B-Instruct: 14.3 (#292)
| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.5% | 5.1% |
| LMArena Math | 1213 | 1268 |
| MATH Level 5 | 18.2% | 41.6% |
| LiveBench Math | — | 42.2% |
Knowledge Llama-3.3-70B-Instruct leads
Claude 3 Sonnet: 21.1 (#271), Llama-3.3-70B-Instruct: 30.5 (#220)
| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | 40.6% | 47.4% |
| LMArena Expert | 1173 | 1225 |
| MMLU | 75.9% | 86.3% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
Multimodal Not comparable
Claude 3 Sonnet: 24.7 (#120), Llama-3.3-70B-Instruct: —
| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Vision | 984 | — |
Multilingual Llama-3.3-70B-Instruct leads
Claude 3 Sonnet: 38.0 (#229), Llama-3.3-70B-Instruct: 40.1 (#215)
| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1205 | 1236 |
| LMArena Chinese | 1188 | 1217 |
| LMArena French | 1228 | 1280 |
| LMArena German | 1204 | 1251 |
| LMArena Japanese | 1131 | 1149 |
| LMArena Korean | 1128 | 1142 |
| LMArena Russian | 1227 | 1252 |
| LMArena Spanish | 1204 | 1269 |
Instruction Following Llama-3.3-70B-Instruct leads
Claude 3 Sonnet: 63.1 (#230), Llama-3.3-70B-Instruct: 71.3 (#152)
| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1200 | 1242 |
| LiveBench Instruction Following | — | 82.7% |
Long Context Claude 3 Sonnet leads
Claude 3 Sonnet: 36.7 (#223), Llama-3.3-70B-Instruct: 26.4 (#290)
| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1211 | 1256 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference Llama-3.3-70B-Instruct leads
Claude 3 Sonnet: 42.3 (#233), Llama-3.3-70B-Instruct: 47.8 (#203)
| Benchmark | Claude 3 Sonnet | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1218 | 1274 |
| LMArena Creative Writing | 1186 | 1250 |
| LMArena Multi-Turn | 1227 | 1279 |
| LiveBench Language | — | 39.2% |
Frequently asked questions
Is Claude 3 Sonnet better than Llama-3.3-70B-Instruct?
Llama-3.3-70B-Instruct is the stronger model overall, scoring 30.3 to 28.8 on the Noometry Index.
Is Claude 3 Sonnet or Llama-3.3-70B-Instruct better for coding?
Llama-3.3-70B-Instruct scores higher on coding benchmarks: 30.6 versus 29.2 in the Noometry coding category.
How many benchmarks do Claude 3 Sonnet and Llama-3.3-70B-Instruct share?
26 benchmarks have published results for both models. Claude 3 Sonnet has 30 scored results on Noometry and Llama-3.3-70B-Instruct has 43.