Model comparison
Claude 3.5 Haiku vs Nvidia Llama 3.3 Nemotron Super 49b v1.5
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 29.2 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIASummary
- They share 12 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and Nvidia Llama 3.3 Nemotron Super 49b v1.5 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads 38.2 to 14.7.
- Nvidia Llama 3.3 Nemotron Super 49b v1.5 has downloadable open weights; the other is API-only.
Side by side
| Claude 3.5 Haiku | Nvidia Llama 3.3 Nemotron Super 49b v1.5 | |
|---|---|---|
| Provider | Anthropic | NVIDIA |
| Noometry Index | 29.2 | 40.3 |
| Released | 2024-10-22 | 2025-07-25 |
| Weights | Proprietary | Open |
| Context window | — | 131K |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.40 |
| Output $ / M tokens | — | $0.40 |
| Results tracked | 49 | 12 |
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Category by category
Coding Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Claude 3.5 Haiku: 32.9 (#265), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 39.8 (#154)
| Benchmark | Claude 3.5 Haiku | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Coding | 1286 | 1355 |
| Aider Polyglot | 28% | — |
| SciCode | 27.4% | — |
| WeirdML | 30.7% | — |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |
Agentic & Tool Use Not comparable
Claude 3.5 Haiku: 28.0 (#95), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —
| Benchmark | Claude 3.5 Haiku | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| BALROG | 19.3% | — |
Reasoning Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Claude 3.5 Haiku: 17.7 (#290), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 26.8 (#128)
| Benchmark | Claude 3.5 Haiku | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Hard Prompts | 1251 | 1336 |
| CritPt | 0% | — |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 56.7% | — |
| LiveBench Data Analysis | 48.5% | — |
| Epoch Capabilities Index | 127.15 | — |
| LiveBench | 43.5% | — |
Math Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Claude 3.5 Haiku: 14.7 (#300), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 38.2 (#141)
| Benchmark | Claude 3.5 Haiku | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Math | 1244 | 1392 |
| 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 Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Claude 3.5 Haiku: 18.7 (#281), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 36.7 (#165)
| Benchmark | Claude 3.5 Haiku | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Expert | 1208 | 1330 |
| GPQA Diamond | 38.1% | — |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| GPQA (HELM) | 36.3% | — |
| MMLU | 74.3% | — |
Multimodal Not comparable
Claude 3.5 Haiku: 26.8 (#117), Nvidia Llama 3.3 Nemotron Super 49b v1.5: —
| Benchmark | Claude 3.5 Haiku | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Vision | 1092 | — |
| GeoBench | 34% | — |
Multilingual Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Claude 3.5 Haiku: 40.0 (#218), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 45.5 (#168)
| Benchmark | Claude 3.5 Haiku | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Non-English | 1238 | 1316 |
| LMArena Japanese | 1175 | 1300 |
| LMArena Russian | 1253 | 1332 |
| LMArena Chinese | 1229 | — |
| LMArena French | 1264 | — |
| LMArena German | 1237 | — |
| LMArena Korean | 1173 | — |
| LMArena Spanish | 1261 | — |
Instruction Following Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Claude 3.5 Haiku: 62.9 (#234), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 68.6 (#188)
| Benchmark | Claude 3.5 Haiku | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Instruction Following | 1241 | 1299 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |
Long Context Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Claude 3.5 Haiku: 38.3 (#200), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 40.0 (#164)
| Benchmark | Claude 3.5 Haiku | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Longer Query | 1261 | 1315 |
Writing & Preference Nvidia Llama 3.3 Nemotron Super 49b v1.5 leads
Claude 3.5 Haiku: 42.7 (#234), Nvidia Llama 3.3 Nemotron Super 49b v1.5: 53.1 (#159)
| Benchmark | Claude 3.5 Haiku | Nvidia Llama 3.3 Nemotron Super 49b v1.5 |
|---|---|---|
| LMArena Text | 1255 | 1338 |
| LMArena Creative Writing | 1233 | 1307 |
| LMArena Multi-Turn | 1265 | 1334 |
| 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 Nvidia Llama 3.3 Nemotron Super 49b v1.5?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 is the stronger model overall, scoring 40.3 to 29.2 on the Noometry Index.
Is Claude 3.5 Haiku or Nvidia Llama 3.3 Nemotron Super 49b v1.5 better for coding?
Nvidia Llama 3.3 Nemotron Super 49b v1.5 scores higher on coding benchmarks: 39.8 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3.5 Haiku and Nvidia Llama 3.3 Nemotron Super 49b v1.5 share?
12 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Nvidia Llama 3.3 Nemotron Super 49b v1.5 has 12.