Model comparison
Kimi K2 (Jul 2025) vs Olmo 3.1 32b Think
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 37.9 on the Noometry Index.
Last verified . 15 shared benchmarks.
Summary
- They share 15 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 7 categories and Olmo 3.1 32b Think in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Kimi K2 (Jul 2025) leads 62.3 to 46.2.
Side by side
| Kimi K2 (Jul 2025) | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Moonshot AI | Allen Institute for AI (Ai2) |
| Noometry Index | 41.2 | 37.9 |
| Released | 2025-07-12 | — |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 262K | — |
| Input $ / M tokens | $0.57 | — |
| Output $ / M tokens | $2.30 | — |
| Results tracked | 42 | 15 |
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Category by category
Coding Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.4 (#102), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | Kimi K2 (Jul 2025) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1399 | 1291 |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| GSO | 4.9% | — |
| WeirdML | 42.8% | — |
| ALE-Bench | 597.5 | — |
Agentic & Tool Use Not comparable
Kimi K2 (Jul 2025): 32.4 (#64), Olmo 3.1 32b Think: —
| Benchmark | Kimi K2 (Jul 2025) | Olmo 3.1 32b Think |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| METR Time Horizons | 59.2% | — |
Reasoning Olmo 3.1 32b Think leads
Kimi K2 (Jul 2025): 23.3 (#179), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | Kimi K2 (Jul 2025) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1384 | 1272 |
| SimpleBench | 26.3% | — |
| Kagi LLM Benchmark | 64.4% | — |
| Epoch Capabilities Index | 146.01 | — |
| ForecastBench | 60.2 | — |
Math Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 42.7 (#83), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | Kimi K2 (Jul 2025) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1397 | 1305 |
| Omni-MATH | 65.4% | — |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 37.3 (#157), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | Kimi K2 (Jul 2025) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1365 | 1295 |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |
Multilingual Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 49.6 (#130), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | Kimi K2 (Jul 2025) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1372 | 1209 |
| LMArena Chinese | 1415 | 1242 |
| LMArena French | 1379 | 1260 |
| LMArena German | 1387 | 1262 |
| LMArena Russian | 1385 | 1193 |
| LMArena Spanish | 1386 | 1289 |
| LMArena Japanese | 1349 | — |
| LMArena Korean | 1325 | — |
Instruction Following Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 71.1 (#156), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | Kimi K2 (Jul 2025) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1348 | 1247 |
| IFEval | 85% | — |
Long Context Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 41.2 (#145), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | Kimi K2 (Jul 2025) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1353 | 1272 |
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |
Writing & Preference Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 62.3 (#78), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | Kimi K2 (Jul 2025) | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1380 | 1272 |
| LMArena Creative Writing | 1350 | 1226 |
| LMArena Multi-Turn | 1371 | 1252 |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |
Frequently asked questions
Is Kimi K2 (Jul 2025) better than Olmo 3.1 32b Think?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 37.9 on the Noometry Index.
Is Kimi K2 (Jul 2025) or Olmo 3.1 32b Think better for coding?
Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 37.7 in the Noometry coding category.
How many benchmarks do Kimi K2 (Jul 2025) and Olmo 3.1 32b Think share?
15 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Olmo 3.1 32b Think has 15.