Model comparison
Llama 2-34B vs Mercury 2.5
Mercury 2.5 has enough public results to be ranked (#242); Llama 2-34B does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
MetaSide by side
| Llama 2-34B | Mercury 2.5 | |
|---|---|---|
| Provider | Meta | Inception |
| Noometry Index | — | 33.5 |
| Released | 2023-07-18 | 2026-09-08 |
| Weights | Proprietary | Proprietary |
| Context window | — | 260K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.04 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 10 | 4 |
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Category by category
Coding Not comparable
Llama 2-34B: —, Mercury 2.5: 39.5 (#156)
Reasoning Not comparable
Llama 2-34B: —, Mercury 2.5: 22.4 (#193)
| Benchmark | Llama 2-34B | Mercury 2.5 |
|---|---|---|
| CritPt | — | 0% |
| BIG-Bench Hard | 44.1% | — |
| Epoch Capabilities Index | 105.2 | — |
| PIQA | 81.9% | — |
| WinoGrande | 76.7% | — |
Math Not comparable
Llama 2-34B: —, Mercury 2.5: 23.3 (#272)
| Benchmark | Llama 2-34B | Mercury 2.5 |
|---|---|---|
| ProofBench | — | 3% |
| GSM8K | 42.2% | — |
Knowledge Not comparable
Llama 2-34B: —, Mercury 2.5: —
| Benchmark | Llama 2-34B | Mercury 2.5 |
|---|---|---|
| ARC (AI2) Challenge | 54.5% | — |
| BoolQ | 83.7% | — |
| MMLU | 62.6% | — |
| OpenBookQA | 58.2% | — |
| TriviaQA | 84.6% | — |
Frequently asked questions
Is Llama 2-34B better than Mercury 2.5?
Mercury 2.5 has enough public results to be ranked (#242); Llama 2-34B does not yet, so treat this comparison as directional.
How many benchmarks do Llama 2-34B and Mercury 2.5 share?
0 benchmarks have published results for both models. Llama 2-34B has 10 scored results on Noometry and Mercury 2.5 has 4.