Model comparison
Llama 3.1 Nemotron 70b Instruct vs Mercury
Llama 3.1 Nemotron 70b Instruct and Mercury score almost the same on the Noometry Index (37.6 vs 37.6), so choose on price, context window or the category you care about most.
Last verified . 8 shared benchmarks.
NVIDIASummary
- They share 8 benchmarks with published results for both. Llama 3.1 Nemotron 70b Instruct scores higher in 3 categories and Mercury in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Llama 3.1 Nemotron 70b Instruct leads 25.0 to 17.5.
- Llama 3.1 Nemotron 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1 Nemotron 70b Instruct | Mercury | |
|---|---|---|
| Provider | NVIDIA | Inception |
| Noometry Index | 37.6 | 37.6 |
| Released | 2024-12-18 | — |
| Weights | Open | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 9 |
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Category by category
Coding Mercury leads
Llama 3.1 Nemotron 70b Instruct: 35.9 (#216), Mercury: 38.7 (#170)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mercury |
|---|---|---|
| LMArena Coding | 1272 | 1322 |
| BigCodeBench Instruct | 38.7% | — |
| BigCodeBench Complete | 48.2% | — |
Reasoning Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 25.0 (#152), Mercury: 17.5 (#293)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mercury |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1285 |
| Kagi LLM Benchmark | — | 21.6% |
Math Not comparable
Llama 3.1 Nemotron 70b Instruct: 35.5 (#182), Mercury: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mercury |
|---|---|---|
| LMArena Math | 1271 | — |
Knowledge Not comparable
Llama 3.1 Nemotron 70b Instruct: 34.1 (#199), Mercury: —
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mercury |
|---|---|---|
| LMArena Expert | 1242 | — |
Multilingual Mercury leads
Llama 3.1 Nemotron 70b Instruct: 40.5 (#217), Mercury: 41.6 (#206)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mercury |
|---|---|---|
| LMArena Non-English | 1245 | 1260 |
| LMArena Chinese | 1263 | — |
| LMArena Russian | 1227 | — |
Instruction Following Too close to call
Llama 3.1 Nemotron 70b Instruct: 65.9 (#213), Mercury: 65.2 (#224)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mercury |
|---|---|---|
| LMArena Instruction Following | 1252 | 1239 |
Long Context Too close to call
Llama 3.1 Nemotron 70b Instruct: 37.6 (#215), Mercury: 38.4 (#198)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mercury |
|---|---|---|
| LMArena Longer Query | 1238 | 1266 |
Writing & Preference Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 48.4 (#203), Mercury: 46.2 (#221)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Mercury |
|---|---|---|
| LMArena Text | 1283 | 1282 |
| LMArena Creative Writing | 1269 | 1191 |
| LMArena Multi-Turn | 1275 | 1282 |
Frequently asked questions
Is Llama 3.1 Nemotron 70b Instruct better than Mercury?
Llama 3.1 Nemotron 70b Instruct and Mercury score almost the same on the Noometry Index (37.6 vs 37.6), so choose on price, context window or the category you care about most.
Is Llama 3.1 Nemotron 70b Instruct or Mercury better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 35.9 in the Noometry coding category.
How many benchmarks do Llama 3.1 Nemotron 70b Instruct and Mercury share?
8 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and Mercury has 9.