Model comparison
Grok-2 (Dec 2024) vs Hunyuan Large 2025 02 10
Hunyuan Large 2025 02 10 is the stronger model overall, scoring 38.0 to 33.4 on the Noometry Index.
Last verified . 12 shared benchmarks.
TencentSummary
- They share 12 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 1 category and Hunyuan Large 2025 02 10 in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where Hunyuan Large 2025 02 10 leads 33.1 to 19.6.
Side by side
| Grok-2 (Dec 2024) | Hunyuan Large 2025 02 10 | |
|---|---|---|
| Provider | xAI | Tencent |
| Noometry Index | 33.4 | 38.0 |
| Released | 2024-08-13 | — |
| Weights | Proprietary | Proprietary |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 12 |
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Category by category
Coding Hunyuan Large 2025 02 10 leads
Grok-2 (Dec 2024): 32.9 (#254), Hunyuan Large 2025 02 10: 37.6 (#177)
| Benchmark | Grok-2 (Dec 2024) | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Coding | 1288 | 1307 |
| WeirdML | 22.2% | — |
| LiveBench Coding | 46.4% | — |
Reasoning Hunyuan Large 2025 02 10 leads
Grok-2 (Dec 2024): 16.4 (#294), Hunyuan Large 2025 02 10: 24.5 (#147)
| Benchmark | Grok-2 (Dec 2024) | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Hard Prompts | 1272 | 1286 |
| SimpleBench | 22.7% | — |
| LiveBench Reasoning | 54.8% | — |
| DTBench | 65.2% | — |
| LiveBench Data Analysis | 54.5% | — |
| Epoch Capabilities Index | 130.48 | — |
| LiveBench | 54.3% | — |
Math Hunyuan Large 2025 02 10 leads
Grok-2 (Dec 2024): 19.6 (#278), Hunyuan Large 2025 02 10: 33.1 (#178)
| Benchmark | Grok-2 (Dec 2024) | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Math | 1283 | 1281 |
| OTIS Mock AIME 2024-2025 | 11.5% | — |
| LiveBench Math | 54.9% | — |
| MATH Level 5 | 63.5% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Hunyuan Large 2025 02 10 leads
Grok-2 (Dec 2024): 29.8 (#225), Hunyuan Large 2025 02 10: 34.5 (#188)
| Benchmark | Grok-2 (Dec 2024) | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Expert | 1254 | 1276 |
| GPQA Diamond | 53.8% | — |
| Confabulations | 20.1% | — |
Multilingual Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 43.3 (#183), Hunyuan Large 2025 02 10: 42.1 (#195)
| Benchmark | Grok-2 (Dec 2024) | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Non-English | 1282 | 1265 |
| LMArena Chinese | 1289 | 1346 |
| LMArena Russian | 1286 | 1266 |
| LMArena French | 1317 | — |
| LMArena German | 1287 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1237 | — |
| LMArena Spanish | 1281 | — |
Instruction Following Too close to call
Grok-2 (Dec 2024): 67.1 (#197), Hunyuan Large 2025 02 10: 67.6 (#192)
| Benchmark | Grok-2 (Dec 2024) | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Instruction Following | 1270 | 1277 |
| LiveBench Instruction Following | 69.6% | — |
Long Context Hunyuan Large 2025 02 10 leads
Grok-2 (Dec 2024): 38.7 (#186), Hunyuan Large 2025 02 10: 40.8 (#144)
| Benchmark | Grok-2 (Dec 2024) | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Longer Query | 1276 | 1342 |
Writing & Preference Too close to call
Grok-2 (Dec 2024): 48.8 (#192), Hunyuan Large 2025 02 10: 48.9 (#191)
| Benchmark | Grok-2 (Dec 2024) | Hunyuan Large 2025 02 10 |
|---|---|---|
| LMArena Text | 1305 | 1288 |
| LMArena Creative Writing | 1284 | 1264 |
| LMArena Multi-Turn | 1290 | 1284 |
| Short-Story Creative Writing | 63.6% | — |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Hunyuan Large 2025 02 10?
Hunyuan Large 2025 02 10 is the stronger model overall, scoring 38.0 to 33.4 on the Noometry Index.
Is Grok-2 (Dec 2024) or Hunyuan Large 2025 02 10 better for coding?
Hunyuan Large 2025 02 10 scores higher on coding benchmarks: 37.6 versus 32.9 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and Hunyuan Large 2025 02 10 share?
12 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Hunyuan Large 2025 02 10 has 12.