Model comparison
Kimi K2.7 Code vs Wizardlm 70b
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 33.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
MicrosoftSummary
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 32.2.
Side by side
| Kimi K2.7 Code | Wizardlm 70b | |
|---|---|---|
| Provider | Moonshot AI | Microsoft |
| Noometry Index | 43.3 | 33.0 |
| Released | 2026-06-12 | — |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.95 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 19 | 12 |
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), Wizardlm 70b: 31.4 (#285)
| Benchmark | Kimi K2.7 Code | Wizardlm 70b |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1081 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Wizardlm 70b: —
| Benchmark | Kimi K2.7 Code | Wizardlm 70b |
|---|---|---|
| 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), Wizardlm 70b: 20.7 (#234)
| Benchmark | Kimi K2.7 Code | Wizardlm 70b |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1079 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Wizardlm 70b: 32.2 (#218)
| Benchmark | Kimi K2.7 Code | Wizardlm 70b |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1116 |
Knowledge Not comparable
Kimi K2.7 Code: 53.5 (#57), Wizardlm 70b: —
| Benchmark | Kimi K2.7 Code | Wizardlm 70b |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
Multilingual Not comparable
Kimi K2.7 Code: —, Wizardlm 70b: 29.6 (#265)
| Benchmark | Kimi K2.7 Code | Wizardlm 70b |
|---|---|---|
| LMArena Non-English | — | 1078 |
| LMArena Chinese | — | 1052 |
| LMArena German | — | 1083 |
| LMArena Russian | — | 1155 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Wizardlm 70b: 56.3 (#273)
| Benchmark | Kimi K2.7 Code | Wizardlm 70b |
|---|---|---|
| LMArena Instruction Following | — | 1093 |
Long Context Not comparable
Kimi K2.7 Code: —, Wizardlm 70b: 33.3 (#263)
| Benchmark | Kimi K2.7 Code | Wizardlm 70b |
|---|---|---|
| LMArena Longer Query | — | 1097 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Wizardlm 70b: 34.8 (#269)
| Benchmark | Kimi K2.7 Code | Wizardlm 70b |
|---|---|---|
| LMArena Text | — | 1120 |
| LMArena Creative Writing | — | 1149 |
| LMArena Multi-Turn | — | 1108 |
Frequently asked questions
Is Kimi K2.7 Code better than Wizardlm 70b?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 33.0 on the Noometry Index.
Is Kimi K2.7 Code or Wizardlm 70b better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 31.4 in the Noometry coding category.
How many benchmarks do Kimi K2.7 Code and Wizardlm 70b share?
0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Wizardlm 70b has 12.