Model comparison
Codellama 34b Instruct vs Llama-3.3-70B-Instruct
Codellama 34b Instruct and Llama-3.3-70B-Instruct score almost the same on the Noometry Index (30.8 vs 30.6), 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-3.3-70B-Instruct in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Llama-3.3-70B-Instruct leads 47.6 to 28.2.
- The biggest single-benchmark swing is BigCodeBench Complete: 37.1% for Codellama 34b Instruct and 57.5% for Llama-3.3-70B-Instruct.
Side by side
| Codellama 34b Instruct | Llama-3.3-70B-Instruct | |
|---|---|---|
| Provider | Meta | Meta |
| Noometry Index | 30.8 | 30.6 |
| Released | — | 2024-12-06 |
| Weights | Open | Open |
| Context window | — | 128K |
| Max output | — | 4K |
| Input $ / M tokens | — | $0.10 |
| Output $ / M tokens | — | $0.32 |
| Results tracked | 14 | 43 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Llama-3.3-70B-Instruct leads
Codellama 34b Instruct: 28.5 (#314), Llama-3.3-70B-Instruct: 31.0 (#290)
| Benchmark | Codellama 34b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| BigCodeBench Instruct | 29% | 46.9% |
| LMArena Coding | 1046 | 1268 |
| BigCodeBench Complete | 37.1% | 57.5% |
| SciCode | — | 26% |
| WeirdML | — | 14.4% |
| LiveBench Coding | — | 36.6% |
| HumanEval+ | 43.9% | — |
| MBPP+ | 56.3% | — |
Agentic & Tool Use Not comparable
Codellama 34b Instruct: —, Llama-3.3-70B-Instruct: 25.8 (#105)
| Benchmark | Codellama 34b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 31.9% |
| BALROG | — | 23% |
Reasoning Codellama 34b Instruct leads
Codellama 34b Instruct: 19.6 (#255), Llama-3.3-70B-Instruct: 14.1 (#327)
| Benchmark | Codellama 34b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Hard Prompts | 1032 | 1257 |
| SimpleBench | — | 19.9% |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 50.8% |
| DTBench | — | 59.5% |
| LiveBench Data Analysis | — | 49.5% |
| LMCA | — | 17.5% |
| Epoch Capabilities Index | — | 127.33 |
| ForecastBench | — | 58.6 |
| LiveBench | — | 50.2% |
Math Codellama 34b Instruct leads
Codellama 34b Instruct: 31.0 (#230), Llama-3.3-70B-Instruct: 15.3 (#298)
| Benchmark | Codellama 34b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Math | 1056 | 1267 |
| OTIS Mock AIME 2024-2025 | — | 5.1% |
| LiveBench Math | — | 42.2% |
| MATH Level 5 | — | 41.6% |
Knowledge Not comparable
Codellama 34b Instruct: —, Llama-3.3-70B-Instruct: 30.6 (#226)
| Benchmark | Codellama 34b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| GPQA Diamond | — | 47.4% |
| Confabulations | — | 22.8% |
| Vectara Hallucination Rate | — | 4.1% |
| LMArena Expert | — | 1225 |
| MMLU | — | 86.3% |
Multilingual Llama-3.3-70B-Instruct leads
Codellama 34b Instruct: 25.8 (#284), Llama-3.3-70B-Instruct: 39.9 (#220)
| Benchmark | Codellama 34b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Non-English | 1011 | 1236 |
| LMArena Chinese | 976 | 1217 |
| LMArena French | — | 1281 |
| LMArena German | — | 1251 |
| LMArena Japanese | — | 1150 |
| LMArena Korean | — | 1143 |
| LMArena Russian | — | 1252 |
| LMArena Spanish | — | 1270 |
Instruction Following Llama-3.3-70B-Instruct leads
Codellama 34b Instruct: 52.2 (#291), Llama-3.3-70B-Instruct: 71.1 (#157)
| Benchmark | Codellama 34b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Instruction Following | 1028 | 1242 |
| LiveBench Instruction Following | — | 82.7% |
Long Context Codellama 34b Instruct leads
Codellama 34b Instruct: 30.9 (#284), Llama-3.3-70B-Instruct: 26.4 (#295)
| Benchmark | Codellama 34b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Longer Query | 1013 | 1256 |
| Fiction.LiveBench | — | 33.3% |
Writing & Preference Llama-3.3-70B-Instruct leads
Codellama 34b Instruct: 28.2 (#297), Llama-3.3-70B-Instruct: 47.6 (#207)
| Benchmark | Codellama 34b Instruct | Llama-3.3-70B-Instruct |
|---|---|---|
| LMArena Text | 1066 | 1274 |
| LMArena Creative Writing | 1032 | 1250 |
| LMArena Multi-Turn | 1015 | 1280 |
| LiveBench Language | — | 39.2% |
Frequently asked questions
Is Codellama 34b Instruct better than Llama-3.3-70B-Instruct?
Codellama 34b Instruct and Llama-3.3-70B-Instruct score almost the same on the Noometry Index (30.8 vs 30.6), so choose on price, context window or the category you care about most.
Is Codellama 34b Instruct or Llama-3.3-70B-Instruct better for coding?
Llama-3.3-70B-Instruct scores higher on coding benchmarks: 31.0 versus 28.5 in the Noometry coding category.
How many benchmarks do Codellama 34b Instruct and Llama-3.3-70B-Instruct share?
12 benchmarks have published results for both models. Codellama 34b Instruct has 14 scored results on Noometry and Llama-3.3-70B-Instruct has 43.