Model comparison
Grok-2 (Dec 2024) vs Yi-1.5-34B
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.6 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 6 categories and Yi-1.5-34B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok-2 (Dec 2024) leads 29.8 to 14.8.
- The biggest single-benchmark swing is MATH Level 5: 63.5% for Grok-2 (Dec 2024) and 25.5% for Yi-1.5-34B.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| Grok-2 (Dec 2024) | Yi-1.5-34B | |
|---|---|---|
| Provider | xAI | 01.AI |
| Noometry Index | 33.7 | 30.6 |
| Released | 2024-08-13 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 21 |
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Category by category
Coding Too close to call
Grok-2 (Dec 2024): 33.3 (#258), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Grok-2 (Dec 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1287 | 1169 |
| WeirdML | 22.2% | — |
| BigCodeBench Instruct | — | 33.9% |
| LiveBench Coding | 46.4% | — |
| BigCodeBench Complete | — | 43.8% |
Reasoning Yi-1.5-34B leads
Grok-2 (Dec 2024): 16.9 (#299), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Grok-2 (Dec 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1272 | 1160 |
| SimpleBench | 22.7% | — |
| LiveBench Reasoning | 54.8% | — |
| DTBench | 65.2% | — |
| LiveBench Data Analysis | 54.5% | — |
| Epoch Capabilities Index | 130.48 | — |
| LiveBench | 54.3% | — |
Math Yi-1.5-34B leads
Grok-2 (Dec 2024): 20.8 (#284), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Grok-2 (Dec 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1283 | 1182 |
| MATH Level 5 | 63.5% | 25.5% |
| OTIS Mock AIME 2024-2025 | 11.5% | — |
| LiveBench Math | 54.9% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 29.8 (#233), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Grok-2 (Dec 2024) | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 53.8% | 32% |
| LMArena Expert | 1254 | 1144 |
| Confabulations | 20.1% | — |
Multilingual Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 43.1 (#188), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Grok-2 (Dec 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1282 | 1121 |
| LMArena Chinese | 1289 | 1213 |
| LMArena French | 1318 | 1156 |
| LMArena German | 1287 | 1111 |
| LMArena Japanese | 1244 | 1021 |
| LMArena Korean | 1237 | 1005 |
| LMArena Russian | 1286 | 1091 |
| LMArena Spanish | 1281 | 1121 |
Instruction Following Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 66.9 (#202), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Grok-2 (Dec 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1270 | 1139 |
| LiveBench Instruction Following | 69.6% | — |
Long Context Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 38.8 (#190), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Grok-2 (Dec 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1276 | 1143 |
Writing & Preference Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 48.6 (#198), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Grok-2 (Dec 2024) | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1305 | 1173 |
| LMArena Creative Writing | 1284 | 1135 |
| LMArena Multi-Turn | 1290 | 1153 |
| Short-Story Creative Writing | 63.6% | — |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Yi-1.5-34B?
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 30.6 on the Noometry Index.
Is Grok-2 (Dec 2024) or Yi-1.5-34B better for coding?
They score almost the same on coding (33.3 vs 32.4); test both on your own repository before choosing.
How many benchmarks do Grok-2 (Dec 2024) and Yi-1.5-34B share?
19 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Yi-1.5-34B has 21.