Model comparison
Llama 2-7B vs Mercury 2
Mercury 2 is the stronger model overall, scoring 39.1 to 29.1 on the Noometry Index.
Last verified . 11 shared benchmarks.
MetaSummary
- They share 11 benchmarks with published results for both. Llama 2-7B scores higher in 0 categories and Mercury 2 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mercury 2 leads 53.8 to 28.0.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| Llama 2-7B | Mercury 2 | |
|---|---|---|
| Provider | Meta | Inception |
| Noometry Index | 29.1 | 39.1 |
| Released | 2023-07-18 | 2026-02-20 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 50K |
| Input $ / M tokens | — | $0.25 |
| Output $ / M tokens | — | $0.75 |
| Results tracked | 29 | 17 |
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Category by category
Coding Mercury 2 leads
Llama 2-7B: 29.2 (#307), Mercury 2: 33.5 (#255)
| Benchmark | Llama 2-7B | Mercury 2 |
|---|---|---|
| LMArena Coding | 1002 | 1391 |
| LMArena WebDev | — | 1171 |
| SciCode | — | 38.7% |
| WeirdML | — | 43.2% |
| ALE-Bench | — | 785.58 |
Reasoning Mercury 2 leads
Llama 2-7B: 15.7 (#312), Mercury 2: 23.8 (#170)
| Benchmark | Llama 2-7B | Mercury 2 |
|---|---|---|
| LMArena Hard Prompts | 1009 | 1362 |
| CritPt | — | 0.8% |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | 39.2% | — |
| Epoch Capabilities Index | 99.06 | — |
| HellaSwag | 77.2% | — |
| LAMBADA | 73.3% | — |
| PIQA | 78.8% | — |
| WinoGrande | 69.2% | — |
Math Not comparable
Llama 2-7B: 30.7 (#233), Mercury 2: —
| Benchmark | Llama 2-7B | Mercury 2 |
|---|---|---|
| LMArena Math | 1042 | — |
| GSM8K | 16.7% | — |
Knowledge Mercury 2 leads
Llama 2-7B: 28.2 (#248), Mercury 2: 36.2 (#172)
| Benchmark | Llama 2-7B | Mercury 2 |
|---|---|---|
| LMArena Expert | 1036 | 1358 |
| Vectara Hallucination Rate | — | 12.3% |
| ARC (AI2) Challenge | 45.9% | — |
| BoolQ | 77.9% | — |
| MMLU | 45.8% | — |
| OpenBookQA | 58.6% | — |
| TriviaQA | 73.7% | — |
Multimodal Not comparable
Llama 2-7B: —, Mercury 2: —
| Benchmark | Llama 2-7B | Mercury 2 |
|---|---|---|
| ScienceQA | 43.1% | — |
Multilingual Mercury 2 leads
Llama 2-7B: 23.8 (#293), Mercury 2: 46.6 (#157)
| Benchmark | Llama 2-7B | Mercury 2 |
|---|---|---|
| LMArena Non-English | 973 | 1331 |
| LMArena Chinese | 973 | 1417 |
| LMArena Russian | 995 | 1304 |
| LMArena French | 970 | — |
| LMArena German | 978 | — |
| LMArena Spanish | 1007 | — |
Instruction Following Mercury 2 leads
Llama 2-7B: 50.8 (#298), Mercury 2: 70.2 (#165)
| Benchmark | Llama 2-7B | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 1006 | 1329 |
Long Context Mercury 2 leads
Llama 2-7B: 30.4 (#287), Mercury 2: 40.5 (#154)
| Benchmark | Llama 2-7B | Mercury 2 |
|---|---|---|
| LMArena Longer Query | 999 | 1330 |
Writing & Preference Mercury 2 leads
Llama 2-7B: 28.0 (#298), Mercury 2: 53.8 (#155)
| Benchmark | Llama 2-7B | Mercury 2 |
|---|---|---|
| LMArena Text | 1053 | 1355 |
| LMArena Creative Writing | 1033 | 1289 |
| LMArena Multi-Turn | 1029 | 1358 |
Frequently asked questions
Is Llama 2-7B better than Mercury 2?
Mercury 2 is the stronger model overall, scoring 39.1 to 29.1 on the Noometry Index.
Is Llama 2-7B or Mercury 2 better for coding?
Mercury 2 scores higher on coding benchmarks: 33.5 versus 29.2 in the Noometry coding category.
How many benchmarks do Llama 2-7B and Mercury 2 share?
11 benchmarks have published results for both models. Llama 2-7B has 29 scored results on Noometry and Mercury 2 has 17.