Model comparison
Kimi K2.7 Code vs Yi-1.5-34B
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 30.6 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Kimi K2.7 Code scores higher in 4 categories and Yi-1.5-34B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 14.8.
- The biggest single-benchmark swing is GPQA Diamond: 87.9% for Kimi K2.7 Code and 32% for Yi-1.5-34B.
Side by side
| Kimi K2.7 Code | Yi-1.5-34B | |
|---|---|---|
| Provider | Moonshot AI | 01.AI |
| Noometry Index | 43.3 | 30.6 |
| Released | 2026-06-12 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.95 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Kimi K2.7 Code | Yi-1.5-34B |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| BigCodeBench Instruct | — | 33.9% |
| LMArena Coding | — | 1169 |
| BigCodeBench Complete | — | 43.8% |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Yi-1.5-34B: —
| Benchmark | Kimi K2.7 Code | Yi-1.5-34B |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Kimi K2.7 Code | Yi-1.5-34B |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1160 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Kimi K2.7 Code | Yi-1.5-34B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Kimi K2.7 Code | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 87.9% | 32% |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1144 |
Multilingual Not comparable
Kimi K2.7 Code: —, Yi-1.5-34B: 32.3 (#256)
| Benchmark | Kimi K2.7 Code | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | — | 1121 |
| LMArena Chinese | — | 1213 |
| LMArena French | — | 1156 |
| LMArena German | — | 1111 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Russian | — | 1091 |
| LMArena Spanish | — | 1121 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Yi-1.5-34B: 59.2 (#257)
| Benchmark | Kimi K2.7 Code | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | — | 1139 |
Long Context Not comparable
Kimi K2.7 Code: —, Yi-1.5-34B: 34.6 (#248)
| Benchmark | Kimi K2.7 Code | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | — | 1143 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Yi-1.5-34B: 37.4 (#257)
| Benchmark | Kimi K2.7 Code | Yi-1.5-34B |
|---|---|---|
| LMArena Text | — | 1173 |
| LMArena Creative Writing | — | 1135 |
| LMArena Multi-Turn | — | 1153 |
Frequently asked questions
Is Kimi K2.7 Code better than Yi-1.5-34B?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 30.6 on the Noometry Index.
Is Kimi K2.7 Code or Yi-1.5-34B better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 32.4 in the Noometry coding category.
How many benchmarks do Kimi K2.7 Code and Yi-1.5-34B share?
1 benchmark has published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Yi-1.5-34B has 21.