Model comparison
Llama-3.3-70B-Instruct vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 30.3 on the Noometry Index. Llama-3.3-70B-Instruct costs 19× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. Llama-3.3-70B-Instruct scores higher in 1 category and Qwen3-Coder 480B-A35B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3-Coder 480B-A35B Instruct leads 34.9 to 14.3.
- The biggest single-benchmark swing is WeirdML: 14.4% for Llama-3.3-70B-Instruct and 41.2% for Qwen3-Coder 480B-A35B Instruct.
- Llama-3.3-70B-Instruct is cheaper at $0.10 / $0.32 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 128K.
Side by side
| Llama-3.3-70B-Instruct | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 30.3 | 37.7 |
| Released | 2024-12-06 | 2025-04 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 66K |
| Input $ / M tokens | $0.10 | $1.50 |
| Output $ / M tokens | $0.32 | $7.50 |
| Results tracked | 43 | 25 |
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Category by category
Coding Qwen3-Coder 480B-A35B Instruct leads
Llama-3.3-70B-Instruct: 30.6 (#284), Qwen3-Coder 480B-A35B Instruct: 36.2 (#199)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| WeirdML | 14.4% | 41.2% |
| LMArena Coding | 1268 | 1413 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| SciCode | 26% | — |
| GSO | — | 4.9% |
| BigCodeBench Instruct | 46.9% | — |
| LiveBench Coding | 36.6% | — |
| BigCodeBench Complete | 57.5% | — |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Llama-3.3-70B-Instruct leads
Llama-3.3-70B-Instruct: 25.6 (#100), Qwen3-Coder 480B-A35B Instruct: 23.7 (#116)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | 31.9% | — |
| BALROG | 23% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Llama-3.3-70B-Instruct: 13.7 (#325), Qwen3-Coder 480B-A35B Instruct: 24.7 (#141)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1372 |
| SimpleBench | 19.9% | — |
| Kagi LLM Benchmark | — | 49.5% |
| CritPt | 0% | — |
| LiveBench Reasoning | 50.8% | — |
| DTBench | 59.5% | — |
| LiveBench Data Analysis | 49.5% | — |
| LMCA | 17.5% | — |
| Epoch Capabilities Index | 127.32 | — |
| ForecastBench | 58.6 | — |
| LiveBench | 50.2% | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Llama-3.3-70B-Instruct: 14.3 (#292), Qwen3-Coder 480B-A35B Instruct: 34.9 (#151)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1268 | 1364 |
| OTIS Mock AIME 2024-2025 | 5.1% | — |
| LiveBench Math | 42.2% | — |
| MATH Level 5 | 41.6% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Llama-3.3-70B-Instruct: 30.5 (#220), Qwen3-Coder 480B-A35B Instruct: 36.4 (#159)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1225 | 1337 |
| GPQA Diamond | 47.4% | — |
| Confabulations | 22.8% | — |
| Vectara Hallucination Rate | 4.1% | — |
| MMLU | 86.3% | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Llama-3.3-70B-Instruct: 40.1 (#215), Qwen3-Coder 480B-A35B Instruct: 47.8 (#143)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1236 | 1345 |
| LMArena Chinese | 1217 | 1356 |
| LMArena French | 1280 | 1394 |
| LMArena German | 1251 | 1324 |
| LMArena Japanese | 1149 | 1309 |
| LMArena Korean | 1142 | 1307 |
| LMArena Russian | 1252 | 1367 |
| LMArena Spanish | 1269 | 1360 |
Instruction Following Too close to call
Llama-3.3-70B-Instruct: 71.3 (#152), Qwen3-Coder 480B-A35B Instruct: 71.8 (#142)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1242 | 1356 |
| LiveBench Instruction Following | 82.7% | — |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Llama-3.3-70B-Instruct: 26.4 (#290), Qwen3-Coder 480B-A35B Instruct: 42.0 (#126)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1256 | 1379 |
| Fiction.LiveBench | 33.3% | — |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Llama-3.3-70B-Instruct: 47.8 (#203), Qwen3-Coder 480B-A35B Instruct: 55.5 (#142)
| Benchmark | Llama-3.3-70B-Instruct | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1274 | 1356 |
| LMArena Creative Writing | 1250 | 1333 |
| LMArena Multi-Turn | 1279 | 1365 |
| LiveBench Language | 39.2% | — |
Frequently asked questions
Is Llama-3.3-70B-Instruct better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 37.7 to 30.3 on the Noometry Index. Llama-3.3-70B-Instruct costs 19× less per token, which makes it the better buy when Qwen3-Coder 480B-A35B Instruct's lead doesn't matter for your workload.
Which is cheaper, Llama-3.3-70B-Instruct or Qwen3-Coder 480B-A35B Instruct?
Llama-3.3-70B-Instruct is cheaper. It lists at $0.10 per million input tokens and $0.32 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Llama-3.3-70B-Instruct or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 36.2 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 128K.
How many benchmarks do Llama-3.3-70B-Instruct and Qwen3-Coder 480B-A35B Instruct share?
18 benchmarks have published results for both models. Llama-3.3-70B-Instruct has 43 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.