Model comparison
Codellama 70b Instruct vs Llama 4 Scout
Codellama 70b Instruct is the stronger model overall, scoring 33.3 to 27.4 on the Noometry Index.
Last verified . 5 shared benchmarks.
MetaSummary
- They share 5 benchmarks with published results for both. Codellama 70b Instruct scores higher in 2 categories and Llama 4 Scout in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in coding, where Codellama 70b Instruct leads 37.0 to 19.9.
- The biggest single-benchmark swing is BigCodeBench Complete: 49.6% for Codellama 70b Instruct and 43.1% for Llama 4 Scout.
Side by side
| Codellama 70b Instruct | Llama 4 Scout | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 33.3 | 27.4 |
| Released | — | 2025-04-05 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.30 |
| Results tracked | 7 | 43 |
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Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.0 (#189), Llama 4 Scout: 19.9 (#334)
| Benchmark | Codellama 70b Instruct | Llama 4 Scout |
|---|---|---|
| BigCodeBench Complete | 49.6% | 43.1% |
| SWE-bench Verified (bash only) | — | 9.1% |
| SciCode | — | 17% |
| BigCodeBench Instruct | 40.7% | — |
| LMArena Coding | — | 1286 |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, Llama 4 Scout: 24.4 (#109)
| Benchmark | Codellama 70b Instruct | Llama 4 Scout |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 28.1% |
Reasoning Codellama 70b Instruct leads
Codellama 70b Instruct: 19.2 (#241), Llama 4 Scout: 9.2 (#339)
| Benchmark | Codellama 70b Instruct | Llama 4 Scout |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1266 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 36.9% |
| ARC-AGI-1 | — | 0.5% |
| CritPt | — | 0% |
| DTBench | — | 57.9% |
| LMCA | — | 12% |
| Epoch Capabilities Index | — | 129.64 |
| ForecastBench | — | 57.5 |
Math Not comparable
Codellama 70b Instruct: —, Llama 4 Scout: 18.4 (#280)
| Benchmark | Codellama 70b Instruct | Llama 4 Scout |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.8% |
| Omni-MATH | — | 37.3% |
| LMArena Math | — | 1286 |
| MATH Level 5 | — | 62.3% |
| FrontierMath (Feb 2025 set) | — | 0% |
Knowledge Not comparable
Codellama 70b Instruct: —, Llama 4 Scout: 31.8 (#208)
| Benchmark | Codellama 70b Instruct | Llama 4 Scout |
|---|---|---|
| GPQA Diamond | — | 51.8% |
| MMLU-Pro | — | 74.2% |
| Vectara Hallucination Rate | — | 7.7% |
| GPQA (HELM) | — | 50.7% |
| LMArena Expert | — | 1236 |
Multimodal Not comparable
Codellama 70b Instruct: —, Llama 4 Scout: 31.6 (#98)
| Benchmark | Codellama 70b Instruct | Llama 4 Scout |
|---|---|---|
| LMArena Vision | — | 1118 |
| SpatialViz-Bench | — | 34.2% |
Multilingual Llama 4 Scout leads
Codellama 70b Instruct: 24.9 (#283), Llama 4 Scout: 41.3 (#207)
| Benchmark | Codellama 70b Instruct | Llama 4 Scout |
|---|---|---|
| LMArena Non-English | 992 | 1253 |
| LMArena Chinese | — | 1256 |
| LMArena French | — | 1283 |
| LMArena German | — | 1274 |
| LMArena Japanese | — | 1209 |
| LMArena Korean | — | 1207 |
| LMArena Russian | — | 1263 |
| LMArena Spanish | — | 1277 |
Instruction Following Llama 4 Scout leads
Codellama 70b Instruct: 52.1 (#288), Llama 4 Scout: 66.0 (#212)
| Benchmark | Codellama 70b Instruct | Llama 4 Scout |
|---|---|---|
| LMArena Instruction Following | 1024 | 1248 |
| IFEval | — | 81.8% |
Long Context Not comparable
Codellama 70b Instruct: —, Llama 4 Scout: 27.5 (#289)
| Benchmark | Codellama 70b Instruct | Llama 4 Scout |
|---|---|---|
| Fiction.LiveBench | — | 36% |
| LMArena Longer Query | — | 1265 |
Writing & Preference Llama 4 Scout leads
Codellama 70b Instruct: 33.6 (#272), Llama 4 Scout: 37.1 (#256)
| Benchmark | Codellama 70b Instruct | Llama 4 Scout |
|---|---|---|
| LMArena Text | 1057 | 1279 |
| LMArena Creative Writing | — | 1249 |
| EQ-Bench Creative Writing | — | 783 |
| WildBench | — | 78% |
| LMArena Multi-Turn | — | 1281 |
Frequently asked questions
Is Codellama 70b Instruct better than Llama 4 Scout?
Codellama 70b Instruct is the stronger model overall, scoring 33.3 to 27.4 on the Noometry Index.
Is Codellama 70b Instruct or Llama 4 Scout better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.0 versus 19.9 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Llama 4 Scout share?
5 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Llama 4 Scout has 43.