Model comparison
Llama 3-70B vs Qwen3-30B-A3B
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 28.8 on the Noometry Index.
Last verified . 22 shared benchmarks.
Summary
- They share 22 benchmarks with published results for both. Llama 3-70B scores higher in 1 category and Qwen3-30B-A3B in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-30B-A3B leads 37.4 to 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Llama 3-70B and 70.3% for Qwen3-30B-A3B.
Side by side
| Llama 3-70B | Qwen3-30B-A3B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 28.8 | 38.9 |
| Released | 2024-04-18 | 2025-04-28 |
| Weights | Open | Open |
| Context window | — | 41K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.12 |
| Output $ / M tokens | — | $0.50 |
| Results tracked | 31 | 32 |
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Category by category
Coding Qwen3-30B-A3B leads
Llama 3-70B: 35.8 (#218), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | Llama 3-70B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Coding | 1206 | 1416 |
| SciCode | — | 33.3% |
| WeirdML | — | 29.8% |
| BigCodeBench Instruct | 43.6% | — |
| BigCodeBench Complete | 54.5% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Qwen3-30B-A3B leads
Llama 3-70B: 21.1 (#139), Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | Llama 3-70B | Qwen3-30B-A3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41.4% |
| Cybench | 5% | — |
Reasoning Qwen3-30B-A3B leads
Llama 3-70B: 18.0 (#288), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | Llama 3-70B | Qwen3-30B-A3B |
|---|---|---|
| Kagi LLM Benchmark | 35.1% | 54.9% |
| LMArena Hard Prompts | 1195 | 1398 |
| DTBench | 54.2% | 69.3% |
| Epoch Capabilities Index | 122.93 | 139.63 |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 8% |
| LMCA | — | 22.4% |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Qwen3-30B-A3B leads
Llama 3-70B: 12.8 (#305), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | Llama 3-70B | Qwen3-30B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 70.3% |
| LMArena Math | 1218 | 1394 |
| MathArena Final-Answer Competitions | — | 47.8% |
| MATH Level 5 | 22.6% | — |
Knowledge Qwen3-30B-A3B leads
Llama 3-70B: 20.8 (#277), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | Llama 3-70B | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 40.6% | 70.1% |
| LMArena Expert | 1149 | 1396 |
| Confabulations | — | 12.3% |
| MMLU | 79.3% | — |
Multilingual Qwen3-30B-A3B leads
Llama 3-70B: 33.6 (#251), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | Llama 3-70B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1142 | 1372 |
| LMArena Chinese | 1114 | 1433 |
| LMArena French | 1232 | 1418 |
| LMArena German | 1169 | 1380 |
| LMArena Japanese | 1017 | 1337 |
| LMArena Korean | 1017 | 1331 |
| LMArena Russian | 1159 | 1370 |
| LMArena Spanish | 1241 | 1404 |
Instruction Following Qwen3-30B-A3B leads
Llama 3-70B: 62.5 (#238), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | Llama 3-70B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1194 | 1363 |
Long Context Llama 3-70B leads
Llama 3-70B: 35.6 (#240), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | Llama 3-70B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1174 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference Qwen3-30B-A3B leads
Llama 3-70B: 42.8 (#231), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | Llama 3-70B | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1221 | 1384 |
| LMArena Creative Writing | 1210 | 1317 |
| LMArena Multi-Turn | 1223 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
Frequently asked questions
Is Llama 3-70B better than Qwen3-30B-A3B?
Qwen3-30B-A3B is the stronger model overall, scoring 38.9 to 28.8 on the Noometry Index.
Is Llama 3-70B or Qwen3-30B-A3B better for coding?
Qwen3-30B-A3B scores higher on coding benchmarks: 37.5 versus 35.8 in the Noometry coding category.
How many benchmarks do Llama 3-70B and Qwen3-30B-A3B share?
22 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Qwen3-30B-A3B has 32.