Model comparison
Kimi K2.7 Code vs Olmo 3.1 32b Think
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 37.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 35.7.
Side by side
| Kimi K2.7 Code | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Moonshot AI | Allen Institute for AI (Ai2) |
| Noometry Index | 43.3 | 37.9 |
| 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 | 15 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Think |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1291 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Olmo 3.1 32b Think: —
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Think |
|---|---|---|
| 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), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Think |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1272 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Think |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| LMArena Math | — | 1305 |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Think |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1295 |
Multilingual Not comparable
Kimi K2.7 Code: —, Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | — | 1209 |
| LMArena Chinese | — | 1242 |
| LMArena French | — | 1260 |
| LMArena German | — | 1262 |
| LMArena Russian | — | 1193 |
| LMArena Spanish | — | 1289 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | — | 1247 |
Long Context Not comparable
Kimi K2.7 Code: —, Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | — | 1272 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | — | 1272 |
| LMArena Creative Writing | — | 1226 |
| LMArena Multi-Turn | — | 1252 |
Frequently asked questions
Is Kimi K2.7 Code better than Olmo 3.1 32b Think?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 37.9 on the Noometry Index.
Is Kimi K2.7 Code or Olmo 3.1 32b Think better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 37.7 in the Noometry coding category.
How many benchmarks do Kimi K2.7 Code and Olmo 3.1 32b Think share?
0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Olmo 3.1 32b Think has 15.