Model comparison
Claude 3.5 Haiku vs Codellama 34b Instruct
Codellama 34b Instruct is the stronger model overall, scoring 30.8 to 29.2 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 5 categories and Codellama 34b Instruct in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Codellama 34b Instruct leads 31.0 to 14.7.
- The biggest single-benchmark swing is BigCodeBench Complete: 59% for Claude 3.5 Haiku and 37.1% for Codellama 34b Instruct.
- Codellama 34b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Haiku | Codellama 34b Instruct | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 29.2 | 30.8 |
| Released | 2024-10-22 | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 49 | 14 |
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Category by category
Coding Claude 3.5 Haiku leads
Claude 3.5 Haiku: 32.9 (#265), Codellama 34b Instruct: 28.5 (#314)
| Benchmark | Claude 3.5 Haiku | Codellama 34b Instruct |
|---|---|---|
| BigCodeBench Instruct | 46.1% | 29% |
| LMArena Coding | 1286 | 1046 |
| BigCodeBench Complete | 59% | 37.1% |
| Aider Polyglot | 28% | — |
| SciCode | 27.4% | — |
| WeirdML | 30.7% | — |
| LiveBench Coding | 51.4% | — |
| CadEval | 32% | — |
| HumanEval+ | — | 43.9% |
| MBPP+ | — | 56.3% |
Agentic & Tool Use Not comparable
Claude 3.5 Haiku: 28.0 (#95), Codellama 34b Instruct: —
| Benchmark | Claude 3.5 Haiku | Codellama 34b Instruct |
|---|---|---|
| BALROG | 19.3% | — |
Reasoning Codellama 34b Instruct leads
Claude 3.5 Haiku: 17.7 (#290), Codellama 34b Instruct: 19.6 (#255)
| Benchmark | Claude 3.5 Haiku | Codellama 34b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1032 |
| CritPt | 0% | — |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 56.7% | — |
| LiveBench Data Analysis | 48.5% | — |
| Epoch Capabilities Index | 127.15 | — |
| LiveBench | 43.5% | — |
Math Codellama 34b Instruct leads
Claude 3.5 Haiku: 14.7 (#300), Codellama 34b Instruct: 31.0 (#230)
| Benchmark | Claude 3.5 Haiku | Codellama 34b Instruct |
|---|---|---|
| LMArena Math | 1244 | 1056 |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Not comparable
Claude 3.5 Haiku: 18.7 (#281), Codellama 34b Instruct: —
| Benchmark | Claude 3.5 Haiku | Codellama 34b Instruct |
|---|---|---|
| GPQA Diamond | 38.1% | — |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| GPQA (HELM) | 36.3% | — |
| LMArena Expert | 1208 | — |
| MMLU | 74.3% | — |
Multimodal Not comparable
Claude 3.5 Haiku: 26.8 (#117), Codellama 34b Instruct: —
| Benchmark | Claude 3.5 Haiku | Codellama 34b Instruct |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |
Multilingual Claude 3.5 Haiku leads
Claude 3.5 Haiku: 40.0 (#218), Codellama 34b Instruct: 25.8 (#284)
| Benchmark | Claude 3.5 Haiku | Codellama 34b Instruct |
|---|---|---|
| LMArena Non-English | 1238 | 1011 |
| LMArena Chinese | 1229 | 976 |
| LMArena French | 1264 | — |
| LMArena German | 1237 | — |
| LMArena Japanese | 1175 | — |
| LMArena Korean | 1173 | — |
| LMArena Russian | 1253 | — |
| LMArena Spanish | 1261 | — |
Instruction Following Claude 3.5 Haiku leads
Claude 3.5 Haiku: 62.9 (#234), Codellama 34b Instruct: 52.2 (#291)
| Benchmark | Claude 3.5 Haiku | Codellama 34b Instruct |
|---|---|---|
| LMArena Instruction Following | 1241 | 1028 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
Long Context Claude 3.5 Haiku leads
Claude 3.5 Haiku: 38.3 (#200), Codellama 34b Instruct: 30.9 (#284)
| Benchmark | Claude 3.5 Haiku | Codellama 34b Instruct |
|---|---|---|
| LMArena Longer Query | 1261 | 1013 |
Writing & Preference Claude 3.5 Haiku leads
Claude 3.5 Haiku: 42.7 (#234), Codellama 34b Instruct: 28.2 (#297)
| Benchmark | Claude 3.5 Haiku | Codellama 34b Instruct |
|---|---|---|
| LMArena Text | 1255 | 1066 |
| LMArena Creative Writing | 1233 | 1032 |
| LMArena Multi-Turn | 1265 | 1015 |
| Short-Story Creative Writing | 73.5% | — |
| EQ-Bench Creative Writing | 1146 | — |
| WildBench | 76% | — |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than Codellama 34b Instruct?
Codellama 34b Instruct is the stronger model overall, scoring 30.8 to 29.2 on the Noometry Index.
Is Claude 3.5 Haiku or Codellama 34b Instruct better for coding?
Claude 3.5 Haiku scores higher on coding benchmarks: 32.9 versus 28.5 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and Codellama 34b Instruct share?
12 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Codellama 34b Instruct has 14.