Model comparison
Grok-2 (Dec 2024) vs Mercury
Mercury is the stronger model overall, scoring 37.6 to 33.7 on the Noometry Index.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 4 categories and Mercury in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mercury leads 38.7 to 33.3.
Side by side
| Grok-2 (Dec 2024) | Mercury | |
|---|---|---|
| Provider | xAI | Inception |
| Noometry Index | 33.7 | 37.6 |
| Released | 2024-08-13 | — |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 9 |
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Category by category
Coding Mercury leads
Grok-2 (Dec 2024): 33.3 (#258), Mercury: 38.7 (#170)
| Benchmark | Grok-2 (Dec 2024) | Mercury |
|---|---|---|
| LMArena Coding | 1287 | 1322 |
| WeirdML | 22.2% | — |
| LiveBench Coding | 46.4% | — |
Reasoning Too close to call
Grok-2 (Dec 2024): 16.9 (#299), Mercury: 17.5 (#293)
| Benchmark | Grok-2 (Dec 2024) | Mercury |
|---|---|---|
| LMArena Hard Prompts | 1272 | 1285 |
| SimpleBench | 22.7% | — |
| Kagi LLM Benchmark | — | 21.6% |
| LiveBench Reasoning | 54.8% | — |
| DTBench | 65.2% | — |
| LiveBench Data Analysis | 54.5% | — |
| Epoch Capabilities Index | 130.48 | — |
| LiveBench | 54.3% | — |
Math Not comparable
Grok-2 (Dec 2024): 20.8 (#284), Mercury: —
| Benchmark | Grok-2 (Dec 2024) | Mercury |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 11.5% | — |
| LiveBench Math | 54.9% | — |
| LMArena Math | 1283 | — |
| MATH Level 5 | 63.5% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Not comparable
Grok-2 (Dec 2024): 29.8 (#233), Mercury: —
| Benchmark | Grok-2 (Dec 2024) | Mercury |
|---|---|---|
| GPQA Diamond | 53.8% | — |
| Confabulations | 20.1% | — |
| LMArena Expert | 1254 | — |
Multilingual Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 43.1 (#188), Mercury: 41.6 (#206)
| Benchmark | Grok-2 (Dec 2024) | Mercury |
|---|---|---|
| LMArena Non-English | 1282 | 1260 |
| LMArena Chinese | 1289 | — |
| LMArena French | 1318 | — |
| LMArena German | 1287 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1237 | — |
| LMArena Russian | 1286 | — |
| LMArena Spanish | 1281 | — |
Instruction Following Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 66.9 (#202), Mercury: 65.2 (#224)
| Benchmark | Grok-2 (Dec 2024) | Mercury |
|---|---|---|
| LMArena Instruction Following | 1270 | 1239 |
| LiveBench Instruction Following | 69.6% | — |
Long Context Too close to call
Grok-2 (Dec 2024): 38.8 (#190), Mercury: 38.4 (#198)
| Benchmark | Grok-2 (Dec 2024) | Mercury |
|---|---|---|
| LMArena Longer Query | 1276 | 1266 |
Writing & Preference Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 48.6 (#198), Mercury: 46.2 (#221)
| Benchmark | Grok-2 (Dec 2024) | Mercury |
|---|---|---|
| LMArena Text | 1305 | 1282 |
| LMArena Creative Writing | 1284 | 1191 |
| LMArena Multi-Turn | 1290 | 1282 |
| Short-Story Creative Writing | 63.6% | — |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Mercury?
Mercury is the stronger model overall, scoring 37.6 to 33.7 on the Noometry Index.
Is Grok-2 (Dec 2024) or Mercury better for coding?
Mercury scores higher on coding benchmarks: 38.7 versus 33.3 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and Mercury share?
8 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Mercury has 9.