Model comparison
Llama 3.2 90B vs Mercury 2.5
Mercury 2.5 is the stronger model overall, scoring 33.5 to 27.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Mercury 2.5 leads 23.3 to 11.1.
- Llama 3.2 90B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.2 90B | Mercury 2.5 | |
|---|---|---|
| Provider | Meta | Inception |
| Noometry Index | 27.5 | 33.5 |
| Released | 2024-09-24 | 2026-09-08 |
| Weights | Open | Proprietary |
| Context window | — | 260K |
| Max output | — | 66K |
| Input $ / M tokens | — | $0.04 |
| Output $ / M tokens | — | $0.15 |
| Results tracked | 9 | 4 |
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Category by category
Coding Not comparable
Llama 3.2 90B: —, Mercury 2.5: 39.5 (#156)
Agentic & Tool Use Not comparable
Llama 3.2 90B: 30.0 (#80), Mercury 2.5: —
| Benchmark | Llama 3.2 90B | Mercury 2.5 |
|---|---|---|
| BALROG | 27.3% | — |
Reasoning Too close to call
Llama 3.2 90B: 21.7 (#217), Mercury 2.5: 22.4 (#193)
| Benchmark | Llama 3.2 90B | Mercury 2.5 |
|---|---|---|
| CritPt | — | 0% |
| EnigmaEval | 0.4% | — |
| Epoch Capabilities Index | 125.5 | — |
Math Mercury 2.5 leads
Llama 3.2 90B: 11.1 (#308), Mercury 2.5: 23.3 (#272)
| Benchmark | Llama 3.2 90B | Mercury 2.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 2.6% | — |
| ProofBench | — | 3% |
| MATH Level 5 | 39.4% | — |
Knowledge Not comparable
Llama 3.2 90B: 21.7 (#274), Mercury 2.5: —
| Benchmark | Llama 3.2 90B | Mercury 2.5 |
|---|---|---|
| GPQA Diamond | 41% | — |
| MMLU | 80.3% | — |
Multimodal Not comparable
Llama 3.2 90B: 25.4 (#124), Mercury 2.5: —
| Benchmark | Llama 3.2 90B | Mercury 2.5 |
|---|---|---|
| LMArena Vision | 1000 | — |
| GeoBench | 52% | — |
Frequently asked questions
Is Llama 3.2 90B better than Mercury 2.5?
Mercury 2.5 is the stronger model overall, scoring 33.5 to 27.5 on the Noometry Index.
How many benchmarks do Llama 3.2 90B and Mercury 2.5 share?
0 benchmarks have published results for both models. Llama 3.2 90B has 9 scored results on Noometry and Mercury 2.5 has 4.