Model comparison
Grok 4.7 vs Yi-1.5-34B
Grok 4.7 is the stronger model overall, scoring 53.1 to 30.6 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Grok 4.7 scores higher in 8 categories and Yi-1.5-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Grok 4.7 leads 62.8 to 14.8.
- The biggest single-benchmark swing is GPQA Diamond: 92.7% for Grok 4.7 and 32% for Yi-1.5-34B.
- Yi-1.5-34B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.7 | Yi-1.5-34B | |
|---|---|---|
| Provider | xAI | 01.AI |
| Noometry Index | 53.1 | 30.6 |
| Released | 2026-09-21 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 500K | — |
| Max output | 500K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 39 | 21 |
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Category by category
Coding Grok 4.7 leads
Grok 4.7: 58.0 (#18), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Grok 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1427 | 1169 |
| FrontierCode | 47.6% | — |
| CursorBench | 46.3% | — |
| LMArena WebDev | 1639 | — |
| FrontierSWE | 29.5% | — |
| SciCode | 57.8% | — |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Agentic & Tool Use Not comparable
Grok 4.7: 36.7 (#37), Yi-1.5-34B: —
| Benchmark | Grok 4.7 | Yi-1.5-34B |
|---|---|---|
| APEX-Agents | 54.6% | — |
| GDP.pdf | 22.8% | — |
| Vending-Bench 2 | 10,537 | — |
Reasoning Grok 4.7 leads
Grok 4.7: 49.1 (#40), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Grok 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1413 | 1160 |
| NYT Connections (extended) | 76.8% | — |
| CritPt | 18% | — |
| Chess Puzzles | 38% | — |
| Mystery Game Puzzles | 29% | — |
| DTBench | 96% | — |
| LMCA | 49.4% | — |
| Epoch Capabilities Index | 153.53 | — |
Math Grok 4.7 leads
Grok 4.7: 57.8 (#39), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Grok 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1407 | 1182 |
| FrontierMath (Tiers 1-3) | 53% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 98.1% | — |
| ProofBench | 34% | — |
| MATH Level 5 | — | 25.5% |
Knowledge Grok 4.7 leads
Grok 4.7: 62.8 (#22), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Grok 4.7 | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 92.7% | 32% |
| LMArena Expert | 1422 | 1144 |
| SimpleQA Verified | 56% | — |
Multimodal Not comparable
Grok 4.7: 35.5 (#87), Yi-1.5-34B: —
| Benchmark | Grok 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1228 | — |
| Blueprint-Bench 2 | 32.5% | — |
| Furniture Assembly | 20.8% | — |
Multilingual Grok 4.7 leads
Grok 4.7: 50.8 (#116), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Grok 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1389 | 1121 |
| LMArena Chinese | 1455 | 1213 |
| LMArena French | 1455 | 1156 |
| LMArena Russian | 1397 | 1091 |
| LMArena Spanish | 1400 | 1121 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
Instruction Following Grok 4.7 leads
Grok 4.7: 74.1 (#105), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Grok 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1139 |
Long Context Grok 4.7 leads
Grok 4.7: 43.1 (#104), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Grok 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1413 | 1143 |
Writing & Preference Grok 4.7 leads
Grok 4.7: 70.0 (#24), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Grok 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1399 | 1173 |
| LMArena Creative Writing | 1391 | 1135 |
| LMArena Multi-Turn | 1393 | 1153 |
| EQ-Bench Creative Writing | 2007 | — |
Frequently asked questions
Is Grok 4.7 better than Yi-1.5-34B?
Grok 4.7 is the stronger model overall, scoring 53.1 to 30.6 on the Noometry Index.
Is Grok 4.7 or Yi-1.5-34B better for coding?
Grok 4.7 scores higher on coding benchmarks: 58.0 versus 32.4 in the Noometry coding category.
How many benchmarks do Grok 4.7 and Yi-1.5-34B share?
15 benchmarks have published results for both models. Grok 4.7 has 39 scored results on Noometry and Yi-1.5-34B has 21.