Model comparison
Grok-2 (Dec 2024) vs Laguna M.1
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.4 to 31.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
PoolsideSummary
- The widest gap is in reasoning, where Laguna M.1 leads 21.9 to 16.4.
- Laguna M.1 has downloadable open weights; the other is API-only.
Side by side
| Grok-2 (Dec 2024) | Laguna M.1 | |
|---|---|---|
| Provider | xAI | Poolside |
| Noometry Index | 33.4 | 31.9 |
| Released | 2024-08-13 | 2026-04-28 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 3 |
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Category by category
Coding Laguna M.1 leads
Grok-2 (Dec 2024): 32.9 (#254), Laguna M.1: 36.4 (#195)
| Benchmark | Grok-2 (Dec 2024) | Laguna M.1 |
|---|---|---|
| LMArena WebDev | — | 1348 |
| WeirdML | 22.2% | — |
| LiveBench Coding | 46.4% | — |
| LMArena Coding | 1288 | — |
Reasoning Laguna M.1 leads
Grok-2 (Dec 2024): 16.4 (#294), Laguna M.1: 21.9 (#187)
| Benchmark | Grok-2 (Dec 2024) | Laguna M.1 |
|---|---|---|
| SimpleBench | 22.7% | — |
| LiveBench Reasoning | 54.8% | — |
| LMArena Hard Prompts | 1272 | — |
| DTBench | 65.2% | — |
| LiveBench Data Analysis | 54.5% | — |
| Surface Evolver Bench | — | 15.6% |
| Epoch Capabilities Index | 130.48 | — |
| LiveBench | 54.3% | — |
Math Too close to call
Grok-2 (Dec 2024): 19.6 (#278), Laguna M.1: 20.3 (#276)
| Benchmark | Grok-2 (Dec 2024) | Laguna M.1 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 11.5% | — |
| ProofBench | — | 0% |
| 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 (#225), Laguna M.1: —
| Benchmark | Grok-2 (Dec 2024) | Laguna M.1 |
|---|---|---|
| GPQA Diamond | 53.8% | — |
| Confabulations | 20.1% | — |
| LMArena Expert | 1254 | — |
Multilingual Not comparable
Grok-2 (Dec 2024): 43.3 (#183), Laguna M.1: —
| Benchmark | Grok-2 (Dec 2024) | Laguna M.1 |
|---|---|---|
| LMArena Non-English | 1282 | — |
| LMArena Chinese | 1289 | — |
| LMArena French | 1317 | — |
| LMArena German | 1287 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1237 | — |
| LMArena Russian | 1286 | — |
| LMArena Spanish | 1281 | — |
Instruction Following Not comparable
Grok-2 (Dec 2024): 67.1 (#197), Laguna M.1: —
| Benchmark | Grok-2 (Dec 2024) | Laguna M.1 |
|---|---|---|
| LiveBench Instruction Following | 69.6% | — |
| LMArena Instruction Following | 1270 | — |
Long Context Not comparable
Grok-2 (Dec 2024): 38.7 (#186), Laguna M.1: —
| Benchmark | Grok-2 (Dec 2024) | Laguna M.1 |
|---|---|---|
| LMArena Longer Query | 1276 | — |
Writing & Preference Not comparable
Grok-2 (Dec 2024): 48.8 (#192), Laguna M.1: —
| Benchmark | Grok-2 (Dec 2024) | Laguna M.1 |
|---|---|---|
| LMArena Text | 1305 | — |
| LMArena Creative Writing | 1284 | — |
| Short-Story Creative Writing | 63.6% | — |
| LMArena Multi-Turn | 1290 | — |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Laguna M.1?
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.4 to 31.9 on the Noometry Index.
Is Grok-2 (Dec 2024) or Laguna M.1 better for coding?
Laguna M.1 scores higher on coding benchmarks: 36.4 versus 32.9 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and Laguna M.1 share?
0 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Laguna M.1 has 3.