Model comparison
C4ai Aya Expanse 32b vs Kimi K2.7 Code
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 35.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
CohereSummary
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 33.2.
- Kimi K2.7 Code accepts more context: 262K tokens versus 128K.
Side by side
| C4ai Aya Expanse 32b | Kimi K2.7 Code | |
|---|---|---|
| Provider | Cohere | Moonshot AI |
| Noometry Index | 35.9 | 43.3 |
| Released | 2024-10-24 | 2026-06-12 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 262K |
| Input $ / M tokens | — | $0.95 |
| Output $ / M tokens | — | $4 |
| Results tracked | 18 | 19 |
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Category by category
Coding Kimi K2.7 Code leads
C4ai Aya Expanse 32b: 34.8 (#231), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | C4ai Aya Expanse 32b | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| WeirdML | — | 54.1% |
| LMArena Coding | 1197 | — |
| ALE-Bench | — | 886.23 |
Agentic & Tool Use Not comparable
C4ai Aya Expanse 32b: —, Kimi K2.7 Code: 24.0 (#122)
| Benchmark | C4ai Aya Expanse 32b | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
C4ai Aya Expanse 32b: 23.3 (#180), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | C4ai Aya Expanse 32b | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | — | 57.9% |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | 1193 | — |
| Surface Evolver Bench | — | 48.8% |
| Epoch Capabilities Index | — | 149.97 |
Math Kimi K2.7 Code leads
C4ai Aya Expanse 32b: 34.0 (#197), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | C4ai Aya Expanse 32b | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| LMArena Math | 1200 | — |
Knowledge Kimi K2.7 Code leads
C4ai Aya Expanse 32b: 33.2 (#206), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | C4ai Aya Expanse 32b | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |
| Vectara Hallucination Rate | 10.9% | — |
| LMArena Expert | 1182 | — |
Multilingual Not comparable
C4ai Aya Expanse 32b: 38.4 (#230), Kimi K2.7 Code: —
| Benchmark | C4ai Aya Expanse 32b | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1213 | — |
| LMArena Chinese | 1211 | — |
| LMArena French | 1248 | — |
| LMArena German | 1199 | — |
| LMArena Japanese | 1163 | — |
| LMArena Korean | 1158 | — |
| LMArena Russian | 1227 | — |
| LMArena Spanish | 1193 | — |
Instruction Following Not comparable
C4ai Aya Expanse 32b: 62.6 (#237), Kimi K2.7 Code: —
| Benchmark | C4ai Aya Expanse 32b | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1196 | — |
Long Context Not comparable
C4ai Aya Expanse 32b: 37.2 (#220), Kimi K2.7 Code: —
| Benchmark | C4ai Aya Expanse 32b | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1228 | — |
Writing & Preference Not comparable
C4ai Aya Expanse 32b: 42.2 (#235), Kimi K2.7 Code: —
| Benchmark | C4ai Aya Expanse 32b | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1224 | — |
| LMArena Creative Writing | 1200 | — |
| LMArena Multi-Turn | 1190 | — |
Frequently asked questions
Is C4ai Aya Expanse 32b better than Kimi K2.7 Code?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 35.9 on the Noometry Index.
Is C4ai Aya Expanse 32b or Kimi K2.7 Code better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 34.8 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 128K.
How many benchmarks do C4ai Aya Expanse 32b and Kimi K2.7 Code share?
0 benchmarks have published results for both models. C4ai Aya Expanse 32b has 18 scored results on Noometry and Kimi K2.7 Code has 19.