Model comparison
Grok-2 (Dec 2024) vs Yi-34B
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 27.8 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Grok-2 (Dec 2024) scores higher in 6 categories and Yi-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 7.5.
- The biggest single-benchmark swing is MATH Level 5: 63.5% for Grok-2 (Dec 2024) and 5.1% for Yi-34B.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| Grok-2 (Dec 2024) | Yi-34B | |
|---|---|---|
| Provider | xAI | 01.AI |
| Noometry Index | 33.7 | 27.8 |
| Released | 2024-08-13 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 34 | 23 |
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Category by category
Coding Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 33.3 (#258), Yi-34B: 32.3 (#274)
| Benchmark | Grok-2 (Dec 2024) | Yi-34B |
|---|---|---|
| LMArena Coding | 1287 | 1112 |
| WeirdML | 22.2% | — |
| LiveBench Coding | 46.4% | — |
Reasoning Yi-34B leads
Grok-2 (Dec 2024): 16.9 (#299), Yi-34B: 21.2 (#226)
| Benchmark | Grok-2 (Dec 2024) | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1272 | 1104 |
| Epoch Capabilities Index | 130.48 | 117.39 |
| SimpleBench | 22.7% | — |
| LiveBench Reasoning | 54.8% | — |
| DTBench | 65.2% | — |
| LiveBench Data Analysis | 54.5% | — |
| BIG-Bench Hard | — | 71.7% |
| LiveBench | 54.3% | — |
Math Too close to call
Grok-2 (Dec 2024): 20.8 (#284), Yi-34B: 21.6 (#282)
| Benchmark | Grok-2 (Dec 2024) | Yi-34B |
|---|---|---|
| LMArena Math | 1283 | 1114 |
| MATH Level 5 | 63.5% | 5.1% |
| OTIS Mock AIME 2024-2025 | 11.5% | — |
| LiveBench Math | 54.9% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
| GSM8K | — | 76% |
Knowledge Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 29.8 (#233), Yi-34B: 7.5 (#309)
| Benchmark | Grok-2 (Dec 2024) | Yi-34B |
|---|---|---|
| GPQA Diamond | 53.8% | 14.7% |
| LMArena Expert | 1254 | 1061 |
| Confabulations | 20.1% | — |
| MMLU | — | 76.3% |
Multilingual Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 43.1 (#188), Yi-34B: 29.7 (#264)
| Benchmark | Grok-2 (Dec 2024) | Yi-34B |
|---|---|---|
| LMArena Non-English | 1282 | 1079 |
| LMArena Chinese | 1289 | 1176 |
| LMArena French | 1318 | 1081 |
| LMArena German | 1287 | 1042 |
| LMArena Japanese | 1244 | 993 |
| LMArena Korean | 1237 | 959 |
| LMArena Russian | 1286 | 1050 |
| LMArena Spanish | 1281 | 1070 |
Instruction Following Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 66.9 (#202), Yi-34B: 56.2 (#274)
| Benchmark | Grok-2 (Dec 2024) | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1270 | 1091 |
| LiveBench Instruction Following | 69.6% | — |
Long Context Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 38.8 (#190), Yi-34B: 33.2 (#264)
| Benchmark | Grok-2 (Dec 2024) | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1276 | 1094 |
Writing & Preference Grok-2 (Dec 2024) leads
Grok-2 (Dec 2024): 48.6 (#198), Yi-34B: 34.1 (#273)
| Benchmark | Grok-2 (Dec 2024) | Yi-34B |
|---|---|---|
| LMArena Text | 1305 | 1129 |
| LMArena Creative Writing | 1284 | 1108 |
| LMArena Multi-Turn | 1290 | 1113 |
| Short-Story Creative Writing | 63.6% | — |
| LiveBench Language | 45.6% | — |
Frequently asked questions
Is Grok-2 (Dec 2024) better than Yi-34B?
Grok-2 (Dec 2024) is the stronger model overall, scoring 33.7 to 27.8 on the Noometry Index.
Is Grok-2 (Dec 2024) or Yi-34B better for coding?
Grok-2 (Dec 2024) scores higher on coding benchmarks: 33.3 versus 32.3 in the Noometry coding category.
How many benchmarks do Grok-2 (Dec 2024) and Yi-34B share?
20 benchmarks have published results for both models. Grok-2 (Dec 2024) has 34 scored results on Noometry and Yi-34B has 23.