Model comparison
Codellama 34b Instruct vs Llama 4 Maverick
Codellama 34b Instruct and Llama 4 Maverick score almost the same on the Noometry Index (30.8 vs 30.9), so choose on price, context window or the category you care about most.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. Codellama 34b Instruct scores higher in 3 categories and Llama 4 Maverick in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Llama 4 Maverick leads 71.7 to 52.2.
- The biggest single-benchmark swing is BigCodeBench Complete: 37.1% for Codellama 34b Instruct and 61.4% for Llama 4 Maverick.
Side by side
| Codellama 34b Instruct | Llama 4 Maverick | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 30.8 | 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 | 14 | 54 |
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Category by category
Coding Codellama 34b Instruct leads
Codellama 34b Instruct: 28.5 (#314), Llama 4 Maverick: 26.6 (#324)
| Benchmark | Codellama 34b Instruct | Llama 4 Maverick |
|---|---|---|
| BigCodeBench Instruct | 29% | 49.7% |
| LMArena Coding | 1046 | 1302 |
| BigCodeBench Complete | 37.1% | 61.4% |
| SWE-bench Verified (bash only) | — | 21% |
| Aider Polyglot | — | 15.6% |
| SciCode | — | 33.1% |
| WeirdML | — | 24.5% |
| ALE-Bench | — | 172.97 |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Llama 4 Maverick: 28.2 (#91)
| Benchmark | Codellama 34b Instruct | Llama 4 Maverick |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.3% |
Reasoning Codellama 34b Instruct leads
Codellama 34b Instruct: 19.6 (#255), Llama 4 Maverick: 10.1 (#342)
| Benchmark | Codellama 34b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Hard Prompts | 1032 | 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 Codellama 34b Instruct leads
Codellama 34b Instruct: 31.0 (#230), Llama 4 Maverick: 26.0 (#262)
| Benchmark | Codellama 34b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Math | 1056 | 1299 |
| OTIS Mock AIME 2024-2025 | — | 20.6% |
| Omni-MATH | — | 42.2% |
| MATH Level 5 | — | 73% |
| FrontierMath (Feb 2025 set) | — | 0.7% |
Knowledge Not comparable
Codellama 34b Instruct: —, Llama 4 Maverick: 33.4 (#204)
| Benchmark | Codellama 34b 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 34b Instruct: —, Llama 4 Maverick: 31.6 (#105)
| Benchmark | Codellama 34b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Vision | — | 1142 |
| GeoBench | — | 52% |
| SpatialViz-Bench | — | 31.8% |
Multilingual Llama 4 Maverick leads
Codellama 34b Instruct: 25.8 (#284), Llama 4 Maverick: 42.2 (#195)
| Benchmark | Codellama 34b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Non-English | 1011 | 1269 |
| LMArena Chinese | 976 | 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 34b Instruct: 52.2 (#291), Llama 4 Maverick: 71.7 (#146)
| Benchmark | Codellama 34b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Instruction Following | 1028 | 1267 |
| IFEval | — | 90.8% |
Long Context Too close to call
Codellama 34b Instruct: 30.9 (#284), Llama 4 Maverick: 31.4 (#279)
| Benchmark | Codellama 34b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Longer Query | 1013 | 1280 |
| Fiction.LiveBench | — | 46.2% |
Writing & Preference Llama 4 Maverick leads
Codellama 34b Instruct: 28.2 (#297), Llama 4 Maverick: 38.8 (#252)
| Benchmark | Codellama 34b Instruct | Llama 4 Maverick |
|---|---|---|
| LMArena Text | 1066 | 1287 |
| LMArena Creative Writing | 1032 | 1267 |
| LMArena Multi-Turn | 1015 | 1289 |
| Short-Story Creative Writing | — | 62% |
| EQ-Bench Creative Writing | — | 860 |
| WildBench | — | 80% |
Frequently asked questions
Is Codellama 34b Instruct better than Llama 4 Maverick?
Codellama 34b Instruct and Llama 4 Maverick score almost the same on the Noometry Index (30.8 vs 30.9), so choose on price, context window or the category you care about most.
Is Codellama 34b Instruct or Llama 4 Maverick better for coding?
Codellama 34b Instruct scores higher on coding benchmarks: 28.5 versus 26.6 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Llama 4 Maverick share?
12 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Llama 4 Maverick has 54.