Model comparison
Claude Opus 4.7 vs Yi-1.5-34B
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 30.6 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Claude Opus 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 Claude Opus 4.7 leads 62.6 to 14.8.
- The biggest single-benchmark swing is GPQA Diamond: 90.2% for Claude Opus 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
| Claude Opus 4.7 | Yi-1.5-34B | |
|---|---|---|
| Provider | Anthropic | 01.AI |
| Noometry Index | 58.3 | 30.6 |
| Released | 2026-04-14 | 2024-05-13 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $5 | — |
| Output $ / M tokens | $25 | — |
| Results tracked | 66 | 21 |
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Category by category
Coding Claude Opus 4.7 leads
Claude Opus 4.7: 59.6 (#13), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Claude Opus 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1518 | 1169 |
| SWE-bench Verified | 83.5% | — |
| FrontierCode | 38.5% | — |
| LMArena WebDev | 1558 | — |
| SciCode | 54.5% | — |
| GSO | 44.1% | — |
| WeirdML | 76.4% | — |
| BigCodeBench Instruct | — | 33.9% |
| MirrorCode | 31.1% | — |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 1,323 | — |
Agentic & Tool Use Not comparable
Claude Opus 4.7: 47.9 (#10), Yi-1.5-34B: —
| Benchmark | Claude Opus 4.7 | Yi-1.5-34B |
|---|---|---|
| Terminal-Bench | 80.2% | — |
| APEX-Agents | 49.2% | — |
| OSWorld 2.0 | 18.2% | — |
| τ²-bench Banking | 40.2% | — |
| PostTrainBench | 28.6% | — |
| ExploitBench | 26.5% | — |
| GBAEval | 43.8% | — |
| GDP.pdf | 21% | — |
| LMArena Search | 1233 | — |
| Vending-Bench 2 | 10,937 | — |
Reasoning Claude Opus 4.7 leads
Claude Opus 4.7: 53.8 (#29), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Claude Opus 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1506 | 1160 |
| ARC-AGI-2 | 75.8% | — |
| SimpleBench | 61.7% | — |
| Kagi LLM Benchmark | 80.7% | — |
| NYT Connections (extended) | 39% | — |
| ARC-AGI-1 | 93.5% | — |
| CritPt | 12% | — |
| Chess Puzzles | 30% | — |
| Thematic Generalization | 72.8% | — |
| EBR-Bench | 19% | — |
| Mystery Game Puzzles | 28% | — |
| DTBench | 94.7% | — |
| LMCA | 52.2% | — |
| Epoch Capabilities Index | 156.25 | — |
| ForecastBench | 60.3 | — |
Math Claude Opus 4.7 leads
Claude Opus 4.7: 66.7 (#26), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Claude Opus 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1499 | 1182 |
| FrontierMath (Tiers 1-3) | 70.2% | — |
| FrontierMath Tier 4 | 31.7% | — |
| MathArena Final-Answer Competitions | 73.6% | — |
| OTIS Mock AIME 2024-2025 | 97.8% | — |
| ProofBench | 54% | — |
| MATH Level 5 | — | 25.5% |
| FrontierMath (Feb 2025 set) | 43.8% | — |
| FrontierMath Tier 4 (v1) | 22.9% | — |
Knowledge Claude Opus 4.7 leads
Claude Opus 4.7: 62.6 (#23), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Claude Opus 4.7 | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 90.2% | 32% |
| LMArena Expert | 1521 | 1144 |
| Humanity's Last Exam | 36.2% | — |
| SimpleQA Verified | 51.7% | — |
| Vectara Hallucination Rate | 12% | — |
Multimodal Not comparable
Claude Opus 4.7: 41.2 (#38), Yi-1.5-34B: —
| Benchmark | Claude Opus 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Vision | 1316 | — |
| Blueprint-Bench 2 | 24.5% | — |
| Furniture Assembly | 33.3% | — |
| LMArena Document | 1495 | — |
Multilingual Claude Opus 4.7 leads
Claude Opus 4.7: 57.3 (#10), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Claude Opus 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1480 | 1121 |
| LMArena Chinese | 1531 | 1213 |
| LMArena French | 1503 | 1156 |
| LMArena German | 1495 | 1111 |
| LMArena Japanese | 1472 | 1021 |
| LMArena Korean | 1464 | 1005 |
| LMArena Russian | 1494 | 1091 |
| LMArena Spanish | 1495 | 1121 |
Instruction Following Claude Opus 4.7 leads
Claude Opus 4.7: 78.4 (#10), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Claude Opus 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1498 | 1139 |
Long Context Claude Opus 4.7 leads
Claude Opus 4.7: 46.2 (#25), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Claude Opus 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1505 | 1143 |
Writing & Preference Claude Opus 4.7 leads
Claude Opus 4.7: 75.1 (#8), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Claude Opus 4.7 | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1490 | 1173 |
| LMArena Creative Writing | 1486 | 1135 |
| LMArena Multi-Turn | 1505 | 1153 |
| EQ-Bench Creative Writing | 1914 | — |
| EQ-Bench 4 | 1311 | — |
Frequently asked questions
Is Claude Opus 4.7 better than Yi-1.5-34B?
Claude Opus 4.7 is the stronger model overall, scoring 58.3 to 30.6 on the Noometry Index.
Is Claude Opus 4.7 or Yi-1.5-34B better for coding?
Claude Opus 4.7 scores higher on coding benchmarks: 59.6 versus 32.4 in the Noometry coding category.
How many benchmarks do Claude Opus 4.7 and Yi-1.5-34B share?
18 benchmarks have published results for both models. Claude Opus 4.7 has 66 scored results on Noometry and Yi-1.5-34B has 21.