Model comparison
Kimi K2.7 Code vs o4-mini
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 41.6 on the Noometry Index.
Last verified . 11 shared benchmarks.
Summary
- They share 11 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and o4-mini in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 24.6.
- The biggest single-benchmark swing is SimpleBench: 57.9% for Kimi K2.7 Code and 38.7% for o4-mini.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $1.10 / $4.40 for o4-mini.
- Kimi K2.7 Code accepts more context: 262K tokens versus 200K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| Kimi K2.7 Code | o4-mini | |
|---|---|---|
| Provider | Moonshot AI | OpenAI |
| Noometry Index | 43.3 | 41.6 |
| Released | 2026-06-12 | 2025-04-16 |
| Weights | Open | Proprietary |
| Context window | 262K | 200K |
| Max output | 262K | 100K |
| Input $ / M tokens | $0.95 | $1.10 |
| Output $ / M tokens | $4 | $4.40 |
| Results tracked | 19 | 60 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), o4-mini: 40.9 (#127)
| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| WeirdML | 54.1% | 52.6% |
| ALE-Bench | 886.23 | 826.17 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SWE-bench Verified (bash only) | — | 45% |
| Aider Polyglot | — | 72% |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| GSO | — | 3.6% |
| LMArena Coding | — | 1368 |
| CadEval | — | 62% |
| AlgoTune | — | 1.72 |
Agentic & Tool Use o4-mini leads
Kimi K2.7 Code: 24.0 (#122), o4-mini: 32.6 (#61)
| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| APEX-Agents | 37.6% | — |
| Berkeley Function Calling Leaderboard | — | 53.2% |
| GDPval | — | 25.3% |
| GBAEval | 0.9% | — |
| METR Time Horizons | — | 63.9% |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), o4-mini: 24.6 (#162)
| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| SimpleBench | 57.9% | 38.7% |
| CritPt | 10% | 0.6% |
| Chess Puzzles | 21% | 26% |
| Epoch Capabilities Index | 149.97 | 145.64 |
| ARC-AGI-2 | — | 6.1% |
| Kagi LLM Benchmark | — | 67.6% |
| ARC-AGI-1 | — | 58.7% |
| EnigmaEval | — | 9.2% |
| LMArena Hard Prompts | — | 1351 |
| Mystery Game Puzzles | — | 5% |
| DTBench | — | 77.6% |
| LMCA | — | 26.5% |
| Surface Evolver Bench | 48.8% | — |
| ForecastBench | — | 61.8 |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), o4-mini: 40.8 (#89)
| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | 36.1% |
| FrontierMath Tier 4 | 12.2% | 4.9% |
| OTIS Mock AIME 2024-2025 | 95.6% | 81.7% |
| Omni-MATH | — | 72% |
| LMArena Math | — | 1389 |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 24.8% |
| FrontierMath Tier 4 (v1) | — | 6.3% |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), o4-mini: 43.6 (#91)
| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| GPQA Diamond | 87.9% | 79.6% |
| SimpleQA Verified | 36.5% | 19.6% |
| Humanity's Last Exam | — | 18.1% |
| MMLU-Pro | — | 82% |
| Confabulations | — | 15.8% |
| Vectara Hallucination Rate | — | 18.6% |
| GPQA (HELM) | — | 73.5% |
| LMArena Expert | — | 1343 |
Multimodal Not comparable
Kimi K2.7 Code: —, o4-mini: 40.2 (#49)
| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| LMArena Vision | — | 1194 |
| GeoBench | — | 64% |
| VPCT | — | 57.5% |
Multilingual Not comparable
Kimi K2.7 Code: —, o4-mini: 47.0 (#154)
| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| LMArena Non-English | — | 1337 |
| LMArena Chinese | — | 1354 |
| LMArena French | — | 1364 |
| LMArena German | — | 1336 |
| LMArena Japanese | — | 1308 |
| LMArena Korean | — | 1312 |
| LMArena Russian | — | 1334 |
| LMArena Spanish | — | 1347 |
Instruction Following Not comparable
Kimi K2.7 Code: —, o4-mini: 75.2 (#68)
| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| IFEval | — | 92.8% |
| LMArena Instruction Following | — | 1321 |
Long Context Not comparable
Kimi K2.7 Code: —, o4-mini: 45.5 (#33)
| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| Fiction.LiveBench | — | 77.8% |
| LMArena Longer Query | — | 1315 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, o4-mini: 54.0 (#152)
| Benchmark | Kimi K2.7 Code | o4-mini |
|---|---|---|
| LMArena Text | — | 1353 |
| LMArena Creative Writing | — | 1294 |
| Short-Story Creative Writing | — | 75% |
| WildBench | — | 85.4% |
| LMArena Multi-Turn | — | 1350 |
Frequently asked questions
Is Kimi K2.7 Code better than o4-mini?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 41.6 on the Noometry Index.
Which is cheaper, Kimi K2.7 Code or o4-mini?
Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; o4-mini lists at $1.10 and $4.40.
Is Kimi K2.7 Code or o4-mini better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 40.9 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 200K.
How many benchmarks do Kimi K2.7 Code and o4-mini share?
11 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and o4-mini has 60.