Model comparison
Kimi K2.6 vs Olmo 3.1 32b Instruct
Kimi K2.6 is the stronger model overall, scoring 47.7 to 39.4 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. Kimi K2.6 scores higher in 8 categories and Olmo 3.1 32b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.6 leads 57.0 to 36.3.
Side by side
| Kimi K2.6 | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | Moonshot AI | Allen Institute for AI (Ai2) |
| Noometry Index | 47.7 | 39.4 |
| Released | 2026-04-20 | — |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.95 | — |
| Output $ / M tokens | $4 | — |
| Results tracked | 51 | 16 |
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Category by category
Coding Kimi K2.6 leads
Kimi K2.6: 50.7 (#43), Olmo 3.1 32b Instruct: 39.5 (#157)
| Benchmark | Kimi K2.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1488 | 1347 |
| SWE-bench Verified | 76.7% | — |
| LMArena WebDev | 1509 | — |
| SciCode | 53.5% | — |
| WeirdML | 55.9% | — |
| ALE-Bench | 1,093 | — |
Agentic & Tool Use Not comparable
Kimi K2.6: 21.9 (#137), Olmo 3.1 32b Instruct: —
| Benchmark | Kimi K2.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| OSWorld 2.0 | 4.6% | — |
| ExploitBench | 18.4% | — |
| GBAEval | 0.9% | — |
| GDP.pdf | 12% | — |
| Vending-Bench 2 | 6,205 | — |
Reasoning Kimi K2.6 leads
Kimi K2.6: 40.5 (#55), Olmo 3.1 32b Instruct: 26.4 (#132)
| Benchmark | Kimi K2.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1470 | 1322 |
| NYT Connections (extended) | 87.2% | — |
| CritPt | 8% | — |
| Chess Puzzles | 26% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 18% | — |
| DTBench | 90.9% | — |
| LMCA | 37.3% | — |
| Epoch Capabilities Index | 151.05 | — |
Math Kimi K2.6 leads
Kimi K2.6: 57.0 (#41), Olmo 3.1 32b Instruct: 36.3 (#167)
| Benchmark | Kimi K2.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1475 | 1305 |
| FrontierMath (Tiers 1-3) | 57.2% | — |
| FrontierMath Tier 4 | 25.6% | — |
| MathArena Final-Answer Competitions | 72.9% | — |
| OTIS Mock AIME 2024-2025 | 96.1% | — |
| ProofBench | 16% | — |
| FrontierMath (Feb 2025 set) | 39% | — |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge Kimi K2.6 leads
Kimi K2.6: 54.0 (#54), Olmo 3.1 32b Instruct: 36.1 (#175)
| Benchmark | Kimi K2.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1491 | 1308 |
| GPQA Diamond | 90.8% | — |
| SimpleQA Verified | 34.9% | — |
| Vectara Hallucination Rate | 10.8% | — |
Multimodal Not comparable
Kimi K2.6: 31.6 (#103), Olmo 3.1 32b Instruct: —
| Benchmark | Kimi K2.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 3.9% | — |
| Furniture Assembly | 21.7% | — |
| LMArena Document | 1451 | — |
Multilingual Kimi K2.6 leads
Kimi K2.6: 54.9 (#37), Olmo 3.1 32b Instruct: 42.6 (#191)
| Benchmark | Kimi K2.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1446 | 1275 |
| LMArena Chinese | 1521 | 1304 |
| LMArena French | 1471 | 1328 |
| LMArena German | 1450 | 1282 |
| LMArena Korean | 1427 | 1206 |
| LMArena Russian | 1446 | 1268 |
| LMArena Spanish | 1464 | 1336 |
| LMArena Japanese | 1443 | — |
Instruction Following Kimi K2.6 leads
Kimi K2.6: 76.3 (#43), Olmo 3.1 32b Instruct: 68.6 (#187)
| Benchmark | Kimi K2.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1451 | 1299 |
Long Context Kimi K2.6 leads
Kimi K2.6: 44.9 (#52), Olmo 3.1 32b Instruct: 39.9 (#166)
| Benchmark | Kimi K2.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1468 | 1312 |
Writing & Preference Kimi K2.6 leads
Kimi K2.6: 68.5 (#26), Olmo 3.1 32b Instruct: 50.2 (#185)
| Benchmark | Kimi K2.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1455 | 1311 |
| LMArena Creative Writing | 1434 | 1264 |
| LMArena Multi-Turn | 1453 | 1309 |
| EQ-Bench Creative Writing | 1725 | — |
| EQ-Bench 4 | 1202 | — |
Frequently asked questions
Is Kimi K2.6 better than Olmo 3.1 32b Instruct?
Kimi K2.6 is the stronger model overall, scoring 47.7 to 39.4 on the Noometry Index.
Is Kimi K2.6 or Olmo 3.1 32b Instruct better for coding?
Kimi K2.6 scores higher on coding benchmarks: 50.7 versus 39.5 in the Noometry coding category.
How many benchmarks do Kimi K2.6 and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. Kimi K2.6 has 51 scored results on Noometry and Olmo 3.1 32b Instruct has 16.