Model comparison
Grok 4.7 vs Yi-34B
Grok 4.7 is the stronger model overall, scoring 53.1 to 27.8 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. Grok 4.7 scores higher in 8 categories and Yi-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 7.5.
- The biggest single-benchmark swing is GPQA Diamond: 92.7% for Grok 4.7 and 14.7% for Yi-34B.
- Yi-34B has downloadable open weights; the other is API-only.
Side by side
| Grok 4.7 | Yi-34B | |
|---|---|---|
| Provider | xAI | 01.AI |
| Noometry Index | 53.1 | 27.8 |
| Released | 2026-09-21 | 2023-11-02 |
| Weights | Proprietary | Open |
| Context window | 500K | — |
| Max output | 500K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 39 | 23 |
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Category by category
Coding Grok 4.7 leads
Grok 4.7: 58.0 (#18), Yi-34B: 32.3 (#274)
| Benchmark | Grok 4.7 | Yi-34B |
|---|---|---|
| LMArena Coding | 1427 | 1112 |
| FrontierCode | 47.6% | — |
| CursorBench | 46.3% | — |
| LMArena WebDev | 1639 | — |
| FrontierSWE | 29.5% | — |
| SciCode | 57.8% | — |
Agentic & Tool Use Not comparable
Grok 4.7: 36.7 (#37), Yi-34B: —
| Benchmark | Grok 4.7 | Yi-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-34B: 21.2 (#226)
| Benchmark | Grok 4.7 | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1413 | 1104 |
| Epoch Capabilities Index | 153.53 | 117.39 |
| NYT Connections (extended) | 76.8% | — |
| CritPt | 18% | — |
| Chess Puzzles | 38% | — |
| Mystery Game Puzzles | 29% | — |
| DTBench | 96% | — |
| LMCA | 49.4% | — |
| BIG-Bench Hard | — | 71.7% |
Math Grok 4.7 leads
Grok 4.7: 57.8 (#39), Yi-34B: 21.6 (#282)
| Benchmark | Grok 4.7 | Yi-34B |
|---|---|---|
| LMArena Math | 1407 | 1114 |
| FrontierMath (Tiers 1-3) | 53% | — |
| FrontierMath Tier 4 | 17.1% | — |
| OTIS Mock AIME 2024-2025 | 98.1% | — |
| ProofBench | 34% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Grok 4.7 leads
Grok 4.7: 62.8 (#22), Yi-34B: 7.5 (#309)
| Benchmark | Grok 4.7 | Yi-34B |
|---|---|---|
| GPQA Diamond | 92.7% | 14.7% |
| LMArena Expert | 1422 | 1061 |
| SimpleQA Verified | 56% | — |
| MMLU | — | 76.3% |
Multimodal Not comparable
Grok 4.7: 35.5 (#87), Yi-34B: —
| Benchmark | Grok 4.7 | Yi-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-34B: 29.7 (#264)
| Benchmark | Grok 4.7 | Yi-34B |
|---|---|---|
| LMArena Non-English | 1389 | 1079 |
| LMArena Chinese | 1455 | 1176 |
| LMArena French | 1455 | 1081 |
| LMArena Russian | 1397 | 1050 |
| LMArena Spanish | 1400 | 1070 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
Instruction Following Grok 4.7 leads
Grok 4.7: 74.1 (#105), Yi-34B: 56.2 (#274)
| Benchmark | Grok 4.7 | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1091 |
Long Context Grok 4.7 leads
Grok 4.7: 43.1 (#104), Yi-34B: 33.2 (#264)
| Benchmark | Grok 4.7 | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1413 | 1094 |
Writing & Preference Grok 4.7 leads
Grok 4.7: 70.0 (#24), Yi-34B: 34.1 (#273)
| Benchmark | Grok 4.7 | Yi-34B |
|---|---|---|
| LMArena Text | 1399 | 1129 |
| LMArena Creative Writing | 1391 | 1108 |
| LMArena Multi-Turn | 1393 | 1113 |
| EQ-Bench Creative Writing | 2007 | — |
Frequently asked questions
Is Grok 4.7 better than Yi-34B?
Grok 4.7 is the stronger model overall, scoring 53.1 to 27.8 on the Noometry Index.
Is Grok 4.7 or Yi-34B better for coding?
Grok 4.7 scores higher on coding benchmarks: 58.0 versus 32.3 in the Noometry coding category.
How many benchmarks do Grok 4.7 and Yi-34B share?
16 benchmarks have published results for both models. Grok 4.7 has 39 scored results on Noometry and Yi-34B has 23.