Model comparison
Llama-3.3-70B-Instruct vs Qwen3.5 Max Preview
Qwen3.5 Max Preview is the stronger model overall, scoring 45.3 to 30.6 on the Noometry Index.
Last verified . 17 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 0 categories and Qwen3.5 Max Preview in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.5 Max Preview leads 40.1 to 15.3.
- Llama-3.3-70B-Instruct has downloadable open weights; the other is API-only.
Side by side
| Llama-3.3-70B-Instruct | Qwen3.5 Max Preview | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.6 | 45.3 |
| Released | 2024-12-06 | — |
| Weights | Open | Proprietary |
| Context window | 128K | — |
| Max output | 4K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.32 | — |
| Results tracked | 43 | 17 |
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Category by category
Coding Qwen3.5 Max Preview leads
Llama-3.3-70B-Instruct: 31.0 (#290), Qwen3.5 Max Preview: 44.0 (#77)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Coding | 1268 | 1487 |
| 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: 25.8 (#105), Qwen3.5 Max Preview: —
| Benchmark | Llama-3.3-70B-Instruct | Qwen3.5 Max Preview |
|---|---|---|
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |
Reasoning Qwen3.5 Max Preview leads
Llama-3.3-70B-Instruct: 14.1 (#327), Qwen3.5 Max Preview: 30.8 (#84)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1483 |
| SimpleBench | 19.9% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 50.8% | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| Epoch Capabilities Index | 127.33 | — |
| ForecastBench | 58.6 | — |
| LiveBench | 50.2% | — |
Math Qwen3.5 Max Preview leads
Llama-3.3-70B-Instruct: 15.3 (#298), Qwen3.5 Max Preview: 40.1 (#94)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Math | 1267 | 1474 |
| OTIS Mock AIME 2024-2025 | 5.1% | — |
| LiveBench Math | 42.2% | — |
| MATH Level 5 | 41.6% | — |
Knowledge Qwen3.5 Max Preview leads
Llama-3.3-70B-Instruct: 30.6 (#226), Qwen3.5 Max Preview: 41.8 (#107)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Expert | 1225 | 1489 |
| GPQA Diamond | 47.4% | — |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| MMLU | 86.3% | — |
Multilingual Qwen3.5 Max Preview leads
Llama-3.3-70B-Instruct: 39.9 (#220), Qwen3.5 Max Preview: 56.2 (#22)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Non-English | 1236 | 1465 |
| LMArena Chinese | 1217 | 1534 |
| LMArena French | 1281 | 1484 |
| LMArena German | 1251 | 1487 |
| LMArena Japanese | 1150 | 1495 |
| LMArena Korean | 1143 | 1438 |
| LMArena Russian | 1252 | 1471 |
| LMArena Spanish | 1270 | 1470 |
Instruction Following Qwen3.5 Max Preview leads
Llama-3.3-70B-Instruct: 71.1 (#157), Qwen3.5 Max Preview: 77.0 (#31)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Instruction Following | 1242 | 1467 |
| LiveBench Instruction Following | 82.7% | — |
Long Context Qwen3.5 Max Preview leads
Llama-3.3-70B-Instruct: 26.4 (#295), Qwen3.5 Max Preview: 45.2 (#45)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Longer Query | 1256 | 1476 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference Qwen3.5 Max Preview leads
Llama-3.3-70B-Instruct: 47.6 (#207), Qwen3.5 Max Preview: 66.0 (#41)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3.5 Max Preview |
|---|---|---|
| LMArena Text | 1274 | 1470 |
| LMArena Creative Writing | 1250 | 1464 |
| LMArena Multi-Turn | 1280 | 1478 |
| LiveBench Language | 39.2% | — |
Frequently asked questions
Is Llama-3.3-70B-Instruct better than Qwen3.5 Max Preview?
Qwen3.5 Max Preview is the stronger model overall, scoring 45.3 to 30.6 on the Noometry Index.
Is Llama-3.3-70B-Instruct or Qwen3.5 Max Preview better for coding?
Qwen3.5 Max Preview scores higher on coding benchmarks: 44.0 versus 31.0 in the Noometry coding category.
How many benchmarks do Llama-3.3-70B-Instruct and Qwen3.5 Max Preview share?
17 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Qwen3.5 Max Preview has 17.