Model comparison
Claude 3.5 Haiku vs Codellama 70b Instruct
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 29.2 on the Noometry Index.
Last verified . 6 shared benchmarks.
MetaSummary
- They share 6 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 3 categories and Codellama 70b Instruct in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Claude 3.5 Haiku leads 40.0 to 24.8.
- The biggest single-benchmark swing is BigCodeBench Complete: 59% for Claude 3.5 Haiku and 49.6% for Codellama 70b Instruct.
- Codellama 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Haiku | Codellama 70b Instruct | |
|---|---|---|
| Provider | Anthropic | Meta |
| Noometry Index | 29.2 | 33.7 |
| Released | 2024-10-22 | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 49 | 7 |
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Category by category
Coding Codellama 70b Instruct leads
Claude 3.5 Haiku: 32.9 (#265), Codellama 70b Instruct: 37.6 (#193)
| Benchmark | Claude 3.5 Haiku | Codellama 70b Instruct |
|---|---|---|
| BigCodeBench Instruct | 46.1% | 40.7% |
| BigCodeBench Complete | 59% | 49.6% |
| Aider Polyglot | 28% | — |
| SciCode | 27.4% | — |
| WeirdML | 30.7% | — |
| LiveBench Coding | 51.4% | — |
| LMArena Coding | 1286 | — |
| CadEval | 32% | — |
| HumanEval+ | — | 65.9% |
Agentic & Tool Use Not comparable
Claude 3.5 Haiku: 28.0 (#95), Codellama 70b Instruct: —
| Benchmark | Claude 3.5 Haiku | Codellama 70b Instruct |
|---|---|---|
| BALROG | 19.3% | — |
Reasoning Codellama 70b Instruct leads
Claude 3.5 Haiku: 17.7 (#290), Codellama 70b Instruct: 20.1 (#242)
| Benchmark | Claude 3.5 Haiku | Codellama 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1052 |
| CritPt | 0% | — |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 56.7% | — |
| LiveBench Data Analysis | 48.5% | — |
| Epoch Capabilities Index | 127.15 | — |
| LiveBench | 43.5% | — |
Math Not comparable
Claude 3.5 Haiku: 14.7 (#300), Codellama 70b Instruct: —
| Benchmark | Claude 3.5 Haiku | Codellama 70b Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | — |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| LMArena Math | 1244 | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Not comparable
Claude 3.5 Haiku: 18.7 (#281), Codellama 70b Instruct: —
| Benchmark | Claude 3.5 Haiku | Codellama 70b 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 70b Instruct: —
| Benchmark | Claude 3.5 Haiku | Codellama 70b Instruct |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |
Multilingual Claude 3.5 Haiku leads
Claude 3.5 Haiku: 40.0 (#218), Codellama 70b Instruct: 24.8 (#288)
| Benchmark | Claude 3.5 Haiku | Codellama 70b Instruct |
|---|---|---|
| LMArena Non-English | 1238 | 992 |
| LMArena Chinese | 1229 | — |
| 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 70b Instruct: 51.9 (#293)
| Benchmark | Claude 3.5 Haiku | Codellama 70b Instruct |
|---|---|---|
| LMArena Instruction Following | 1241 | 1024 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
Long Context Not comparable
Claude 3.5 Haiku: 38.3 (#200), Codellama 70b Instruct: —
| Benchmark | Claude 3.5 Haiku | Codellama 70b Instruct |
|---|---|---|
| LMArena Longer Query | 1261 | — |
Writing & Preference Claude 3.5 Haiku leads
Claude 3.5 Haiku: 42.7 (#234), Codellama 70b Instruct: 33.4 (#277)
| Benchmark | Claude 3.5 Haiku | Codellama 70b Instruct |
|---|---|---|
| LMArena Text | 1255 | 1057 |
| LMArena Creative Writing | 1233 | — |
| Short-Story Creative Writing | 73.5% | — |
| EQ-Bench Creative Writing | 1146 | — |
| WildBench | 76% | — |
| LMArena Multi-Turn | 1265 | — |
| LiveBench Language | 35.4% | — |
Frequently asked questions
Is Claude 3.5 Haiku better than Codellama 70b Instruct?
Codellama 70b Instruct is the stronger model overall, scoring 33.7 to 29.2 on the Noometry Index.
Is Claude 3.5 Haiku or Codellama 70b Instruct better for coding?
Codellama 70b Instruct scores higher on coding benchmarks: 37.6 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and Codellama 70b Instruct share?
6 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Codellama 70b Instruct has 7.