Model comparison
Llama 4 Scout vs Qwen3-Coder 480B-A35B Instruct
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 27.7 on the Noometry Index. Llama 4 Scout costs 20× 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 . 19 shared benchmarks.
Meta
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Llama 4 Scout 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 writing & preference, where Qwen3-Coder 480B-A35B Instruct leads 55.3 to 37.0.
- The biggest single-benchmark swing is SWE-bench Verified (bash only): 9.1% for Llama 4 Scout and 55.4% for Qwen3-Coder 480B-A35B Instruct.
- Llama 4 Scout is cheaper at $0.10 / $0.30 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 4 Scout | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Meta | Alibaba (Qwen) |
| Noometry Index | 27.7 | 38.1 |
| Released | 2025-04-05 | 2025-04 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 66K |
| Input $ / M tokens | $0.10 | $1.50 |
| Output $ / M tokens | $0.30 | $7.50 |
| Results tracked | 43 | 25 |
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Category by category
Coding Qwen3-Coder 480B-A35B Instruct leads
Llama 4 Scout: 20.2 (#339), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | Llama 4 Scout | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 9.1% | 55.4% |
| LMArena Coding | 1286 | 1412 |
| LMArena WebDev | — | 1275 |
| SciCode | 17% | — |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| BigCodeBench Complete | 43.1% | — |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Too close to call
Llama 4 Scout: 24.6 (#119), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | Llama 4 Scout | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| Berkeley Function Calling Leaderboard | 28.1% | — |
Reasoning Qwen3-Coder 480B-A35B Instruct leads
Llama 4 Scout: 9.1 (#345), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | Llama 4 Scout | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 36.9% | 49.5% |
| LMArena Hard Prompts | 1266 | 1372 |
| ARC-AGI-2 | 0% | — |
| ARC-AGI-1 | 0.5% | — |
| CritPt | 0% | — |
| DTBench | 57.9% | — |
| LMCA | 12% | — |
| Epoch Capabilities Index | 129.64 | — |
| ForecastBench | 57.5 | — |
Math Qwen3-Coder 480B-A35B Instruct leads
Llama 4 Scout: 19.6 (#286), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | Llama 4 Scout | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1287 | 1365 |
| OTIS Mock AIME 2024-2025 | 7.8% | — |
| Omni-MATH | 37.3% | — |
| MATH Level 5 | 62.3% | — |
| FrontierMath (Feb 2025 set) | 0% | — |
Knowledge Qwen3-Coder 480B-A35B Instruct leads
Llama 4 Scout: 31.9 (#217), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | Llama 4 Scout | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1235 | 1338 |
| GPQA Diamond | 51.8% | — |
| MMLU-Pro | 74.2% | — |
| Vectara Hallucination Rate | 7.7% | — |
| GPQA (HELM) | 50.7% | — |
Multimodal Not comparable
Llama 4 Scout: 32.2 (#102), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | Llama 4 Scout | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1118 | — |
| SpatialViz-Bench | 34.2% | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
Llama 4 Scout: 41.0 (#212), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | Llama 4 Scout | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1252 | 1346 |
| LMArena Chinese | 1255 | 1357 |
| LMArena French | 1282 | 1398 |
| LMArena German | 1272 | 1325 |
| LMArena Japanese | 1206 | 1310 |
| LMArena Korean | 1207 | 1305 |
| LMArena Russian | 1263 | 1366 |
| LMArena Spanish | 1278 | 1360 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
Llama 4 Scout: 65.8 (#217), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | Llama 4 Scout | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1248 | 1355 |
| IFEval | 81.8% | — |
Long Context Qwen3-Coder 480B-A35B Instruct leads
Llama 4 Scout: 27.5 (#294), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | Llama 4 Scout | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1265 | 1378 |
| Fiction.LiveBench | 36% | — |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
Llama 4 Scout: 37.0 (#261), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | Llama 4 Scout | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1279 | 1357 |
| LMArena Creative Writing | 1249 | 1333 |
| LMArena Multi-Turn | 1280 | 1365 |
| EQ-Bench Creative Writing | 783 | — |
| WildBench | 78% | — |
Frequently asked questions
Is Llama 4 Scout better than Qwen3-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct is the stronger model overall, scoring 38.1 to 27.7 on the Noometry Index. Llama 4 Scout costs 20× 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 4 Scout or Qwen3-Coder 480B-A35B Instruct?
Llama 4 Scout is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is Llama 4 Scout or Qwen3-Coder 480B-A35B Instruct better for coding?
Qwen3-Coder 480B-A35B Instruct scores higher on coding benchmarks: 35.5 versus 20.2 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 4 Scout and Qwen3-Coder 480B-A35B Instruct share?
19 benchmarks have published results for both models. Llama 4 Scout has 43 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.