Model comparison
Kimi K2.7 Code vs Yi-34B
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 27.8 on the Noometry Index.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and Yi-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 7.5.
- The biggest single-benchmark swing is GPQA Diamond: 87.9% for Kimi K2.7 Code and 14.7% for Yi-34B.
Side by side
| Kimi K2.7 Code | Yi-34B | |
|---|---|---|
| Provider | Moonshot AI | 01.AI |
| Noometry Index | 43.3 | 27.8 |
| Released | 2026-06-12 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.95 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 23 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Yi-34B: 32.3 (#274)
| Benchmark | Kimi K2.7 Code | Yi-34B |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1112 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Yi-34B: —
| Benchmark | Kimi K2.7 Code | Yi-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-34B: 21.2 (#226)
| Benchmark | Kimi K2.7 Code | Yi-34B |
|---|---|---|
| Epoch Capabilities Index | 149.97 | 117.39 |
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1104 |
| Surface Evolver Bench | 48.8% | — |
| BIG-Bench Hard | — | 71.7% |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Yi-34B: 21.6 (#282)
| Benchmark | Kimi K2.7 Code | Yi-34B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Yi-34B: 7.5 (#309)
| Benchmark | Kimi K2.7 Code | Yi-34B |
|---|---|---|
| GPQA Diamond | 87.9% | 14.7% |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1061 |
| MMLU | — | 76.3% |
Multilingual Not comparable
Kimi K2.7 Code: —, Yi-34B: 29.7 (#264)
| Benchmark | Kimi K2.7 Code | Yi-34B |
|---|---|---|
| LMArena Non-English | — | 1079 |
| LMArena Chinese | — | 1176 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Russian | — | 1050 |
| LMArena Spanish | — | 1070 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Yi-34B: 56.2 (#274)
| Benchmark | Kimi K2.7 Code | Yi-34B |
|---|---|---|
| LMArena Instruction Following | — | 1091 |
Long Context Not comparable
Kimi K2.7 Code: —, Yi-34B: 33.2 (#264)
| Benchmark | Kimi K2.7 Code | Yi-34B |
|---|---|---|
| LMArena Longer Query | — | 1094 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Yi-34B: 34.1 (#273)
| Benchmark | Kimi K2.7 Code | Yi-34B |
|---|---|---|
| LMArena Text | — | 1129 |
| LMArena Creative Writing | — | 1108 |
| LMArena Multi-Turn | — | 1113 |
Frequently asked questions
Is Kimi K2.7 Code better than Yi-34B?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 27.8 on the Noometry Index.
Is Kimi K2.7 Code or Yi-34B better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 32.3 in the Noometry coding category.
How many benchmarks do Kimi K2.7 Code and Yi-34B share?
2 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Yi-34B has 23.