Model comparison
Llama-3.3-70B-Instruct vs Qwen-14B
Llama-3.3-70B-Instruct and Qwen-14B score almost the same on the Noometry Index (30.3 vs 30.8), so choose on price, context window or the category you care about most.
Last verified . 12 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 12 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 3 categories and Qwen-14B in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama-3.3-70B-Instruct leads 47.8 to 27.8.
Side by side
| Llama-3.3-70B-Instruct | Qwen-14B | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.3 | 30.8 |
| Released | 2024-12-06 | 2023-09-24 |
| Weights | Open | Open |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.32 | — |
| Results tracked | 43 | 18 |
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Category by category
Coding Too close to call
Llama-3.3-70B-Instruct: 30.6 (#284), Qwen-14B: 30.6 (#283)
| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Coding | 1268 | 1072 |
| SciCode | 26% | — |
| WeirdML | 14.4% | — |
| BigCodeBench Instruct | 46.9% | — |
| LiveBench Coding | 36.6% | — |
| BigCodeBench Complete | 57.5% | — |
Agentic & Tool Use Not comparable
Llama-3.3-70B-Instruct: 25.6 (#100), Qwen-14B: —
| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |
Reasoning Qwen-14B leads
Llama-3.3-70B-Instruct: 13.7 (#325), Qwen-14B: 18.7 (#255)
| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1027 |
| Epoch Capabilities Index | 127.32 | 112.8 |
| SimpleBench | 19.9% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 50.8% | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| BIG-Bench Hard | — | 55% |
| ForecastBench | 58.6 | — |
| LAMBADA | — | 71.1% |
| LiveBench | 50.2% | — |
| PIQA | — | 79.9% |
Math Qwen-14B leads
Llama-3.3-70B-Instruct: 14.3 (#292), Qwen-14B: 28.7 (#224)
| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Math | 1268 | 1068 |
| OTIS Mock AIME 2024-2025 | 5.1% | — |
| LiveBench Math | 42.2% | — |
| MATH Level 5 | 41.6% | — |
| GSM8K | — | 61.3% |
Knowledge Not comparable
Llama-3.3-70B-Instruct: 30.5 (#220), Qwen-14B: —
| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| MMLU | 86.3% | 66.3% |
| GPQA Diamond | 47.4% | — |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| LMArena Expert | 1225 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
Multilingual Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 40.1 (#215), Qwen-14B: 27.7 (#270)
| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1236 | 1042 |
| LMArena Chinese | 1217 | 1077 |
| LMArena French | 1280 | — |
| LMArena German | 1251 | — |
| LMArena Japanese | 1149 | — |
| LMArena Korean | 1142 | — |
| LMArena Russian | 1252 | — |
| LMArena Spanish | 1269 | — |
Instruction Following Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 71.3 (#152), Qwen-14B: 52.6 (#284)
| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1242 | 1031 |
| LiveBench Instruction Following | 82.7% | — |
Long Context Qwen-14B leads
Llama-3.3-70B-Instruct: 26.4 (#290), Qwen-14B: 31.3 (#276)
| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1256 | 1029 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 47.8 (#203), Qwen-14B: 27.8 (#294)
| Benchmark | Llama-3.3-70B-Instruct | Qwen-14B |
|---|---|---|
| LMArena Text | 1274 | 1051 |
| LMArena Creative Writing | 1250 | 1028 |
| LMArena Multi-Turn | 1279 | 1022 |
| LiveBench Language | 39.2% | — |
Frequently asked questions
Is Llama-3.3-70B-Instruct better than Qwen-14B?
Llama-3.3-70B-Instruct and Qwen-14B score almost the same on the Noometry Index (30.3 vs 30.8), so choose on price, context window or the category you care about most.
Is Llama-3.3-70B-Instruct or Qwen-14B better for coding?
They score almost the same on coding (30.6 vs 30.6); test both on your own repository before choosing.
How many benchmarks do Llama-3.3-70B-Instruct and Qwen-14B share?
12 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Qwen-14B has 18.