Model comparison
Codellama 70b Instruct vs Llama 4 Maverick
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 30.9 on the Noometry Index.
Last verified . 6 shared benchmarks.
MetaSummary
- They share 6 benchmarks with published results for both. Codellama 70b Instruct scores higher in 2 categories and Llama 4 Maverick in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Llama 4 Maverick leads 71.7 to 51.9.
- The biggest single-benchmark swing is BigCodeBench Complete: 49.6% for Codellama 70b Instruct and 61.4% for Llama 4 Maverick.
Side by side
| Codellama 70b Instruct | Llama 4 Maverick | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 33.7 | 30.9 |
| Released | — | 2025-04-05 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.19 |
| Output $ / M tokens | — | $0.65 |
| Results tracked | 7 | 54 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Codellama 70b Instruct leads
Codellama 70b Instruct: 37.6 (#193), Llama 4 Maverick: 26.6 (#324)
| Benchmark | Codellama 70b Instruct | Llama 4 Maverick |
|---|---|---|
| BigCodeBench Instruct | 40.7% | 49.7% |
| BigCodeBench Complete | 49.6% | 61.4% |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| SciCode | — | 33.1% |
| WeirdML | — | 24.5% |
| LMArena Coding | — | 1302 |
| ALE-Bench | — | 172.97 |
| HumanEval+ | 65.9% | — |
Agentic & Tool Use Not comparable
Codellama 70b Instruct: —, Llama 4 Maverick: 28.2 (#91)
| Benchmark | Codellama 70b Instruct | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
Reasoning Codellama 70b Instruct leads
Codellama 70b Instruct: 20.1 (#242), Llama 4 Maverick: 10.1 (#342)
| Benchmark | Codellama 70b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Hard Prompts | 1052 | 1281 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 27.7% |
| Kagi LLM Benchmark | — | 55.9% |
| NYT Connections (extended) | — | 8% |
| ARC-AGI-1 | — | 4.4% |
| CritPt | — | 0% |
| EnigmaEval | — | 0.6% |
| DTBench | — | 61.9% |
| LMCA | — | 15.9% |
| Epoch Capabilities Index | — | 132.2 |
| ForecastBench | — | 57.5 |
Math Not comparable
Codellama 70b Instruct: —, Llama 4 Maverick: 26.0 (#262)
| Benchmark | Codellama 70b Instruct | Llama 4 Maverick |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 20.6% |
| Omni-MATH | — | 42.2% |
| LMArena Math | — | 1299 |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Not comparable
Codellama 70b Instruct: —, Llama 4 Maverick: 33.4 (#204)
| Benchmark | Codellama 70b Instruct | Llama 4 Maverick |
|---|---|---|
| GPQA Diamond | — | 67% |
| Humanity's Last Exam | — | 5.7% |
| MMLU-Pro | — | 81% |
| Confabulations | — | 22.6% |
| Vectara Hallucination Rate | — | 8.2% |
| GPQA (HELM) | — | 65% |
| LMArena Expert | — | 1259 |
Multimodal Not comparable
Codellama 70b Instruct: —, Llama 4 Maverick: 31.6 (#105)
| Benchmark | Codellama 70b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |
Multilingual Llama 4 Maverick leads
Codellama 70b Instruct: 24.8 (#288), Llama 4 Maverick: 42.2 (#195)
| Benchmark | Codellama 70b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 992 | 1269 |
| LMArena Chinese | — | 1277 |
| LMArena French | — | 1259 |
| LMArena German | — | 1291 |
| LMArena Japanese | — | 1207 |
| LMArena Korean | — | 1203 |
| LMArena Russian | — | 1286 |
| LMArena Spanish | — | 1293 |
Instruction Following Llama 4 Maverick leads
Codellama 70b Instruct: 51.9 (#293), Llama 4 Maverick: 71.7 (#146)
| Benchmark | Codellama 70b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1024 | 1267 |
| IFEval | — | 90.8% |
Long Context Not comparable
Codellama 70b Instruct: —, Llama 4 Maverick: 31.4 (#279)
| Benchmark | Codellama 70b Instruct | Llama 4 Maverick |
|---|---|---|
| Fiction.LiveBench | — | 46.2% |
| LMArena Longer Query | — | 1280 |
Writing & Preference Llama 4 Maverick leads
Codellama 70b Instruct: 33.4 (#277), Llama 4 Maverick: 38.8 (#252)
| Benchmark | Codellama 70b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1057 | 1287 |
| LMArena Creative Writing | — | 1267 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
| LMArena Multi-Turn | — | 1289 |
Frequently asked questions
Is Codellama 70b Instruct better than Llama 4 Maverick?
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 30.9 on the Noometry Index.
Is Codellama 70b Instruct or Llama 4 Maverick better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 26.6 in the Noometry coding category.
How many benchmarks do Codellama 70b Instruct and Llama 4 Maverick share?
6 benchmarks have published results for both models. Codellama 70b Instruct has 7 scored results on Noometry and Llama 4 Maverick has 54.