Model comparison
Kimi K2.7 Code vs Olmo 3.1 32b Instruct
Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 38.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Kimi K2.7 Code leads 52.6 to 33.6.
Side by side
| Kimi K2.7 Code | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | Moonshot AI | Allen Institute for AI (Ai2) |
| Noometry Index | 43.0 | 38.8 |
| 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 | 16 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.4 (#92), Olmo 3.1 32b Instruct: 38.9 (#154)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Instruct |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1346 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 23.9 (#115), Olmo 3.1 32b Instruct: —
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Instruct |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 38.2 (#56), Olmo 3.1 32b Instruct: 25.4 (#131)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Instruct |
|---|---|---|
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1322 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 150.01 | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.6 (#39), Olmo 3.1 32b Instruct: 33.6 (#169)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Instruct |
|---|---|---|
| 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: 53.6 (#51), Olmo 3.1 32b Instruct: 35.4 (#175)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Instruct |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| LMArena Expert | — | 1307 |
Multilingual Not comparable
Kimi K2.7 Code: —, Olmo 3.1 32b Instruct: 42.8 (#185)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | — | 1275 |
| LMArena Chinese | — | 1304 |
| LMArena French | — | 1328 |
| LMArena German | — | 1283 |
| LMArena Korean | — | 1206 |
| LMArena Russian | — | 1268 |
| LMArena Spanish | — | 1337 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Olmo 3.1 32b Instruct: 68.8 (#182)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1298 |
Long Context Not comparable
Kimi K2.7 Code: —, Olmo 3.1 32b Instruct: 39.9 (#161)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1312 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Olmo 3.1 32b Instruct: 50.4 (#179)
| Benchmark | Kimi K2.7 Code | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | — | 1311 |
| LMArena Creative Writing | — | 1264 |
| LMArena Multi-Turn | — | 1309 |
Frequently asked questions
Is Kimi K2.7 Code better than Olmo 3.1 32b Instruct?
Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 38.8 on the Noometry Index.
Is Kimi K2.7 Code or Olmo 3.1 32b Instruct better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.4 versus 38.9 in the Noometry coding category.
How many benchmarks do Kimi K2.7 Code and Olmo 3.1 32b Instruct share?
0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Olmo 3.1 32b Instruct has 16.