Model comparison
Kimi K2 (Jul 2025) vs Kimi K2.7 Code
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 41.2 on the Noometry Index. Kimi K2 (Jul 2025) costs 1.7× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Last verified . 4 shared benchmarks.
Summary
- They share 4 benchmarks with published results for both. Kimi K2 (Jul 2025) scores higher in 1 category and Kimi K2.7 Code in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.5 to 37.3.
- The biggest single-benchmark swing is SimpleBench: 26.3% for Kimi K2 (Jul 2025) and 57.9% for Kimi K2.7 Code.
- Kimi K2 (Jul 2025) is cheaper at $0.57 / $2.30 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
Side by side
| Kimi K2 (Jul 2025) | Kimi K2.7 Code | |
|---|---|---|
| Provider | Moonshot AI | Moonshot AI |
| Noometry Index | 41.2 | 43.3 |
| Released | 2025-07-12 | 2026-06-12 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 262K |
| Input $ / M tokens | $0.57 | $0.95 |
| Output $ / M tokens | $2.30 | $4 |
| Results tracked | 42 | 19 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Kimi K2 (Jul 2025): 42.4 (#102), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | Kimi K2 (Jul 2025) | Kimi K2.7 Code |
|---|---|---|
| WeirdML | 42.8% | 54.1% |
| ALE-Bench | 597.5 | 886.23 |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| SWE-bench Verified (bash only) | 63.4% | — |
| Aider Polyglot | 59.1% | — |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| GSO | 4.9% | — |
| LMArena Coding | 1399 | — |
Agentic & Tool Use Kimi K2 (Jul 2025) leads
Kimi K2 (Jul 2025): 32.4 (#64), Kimi K2.7 Code: 24.0 (#122)
| Benchmark | Kimi K2 (Jul 2025) | Kimi K2.7 Code |
|---|---|---|
| Terminal-Bench | 35.7% | — |
| APEX-Agents | — | 37.6% |
| Berkeley Function Calling Leaderboard | 59.1% | — |
| GBAEval | — | 0.9% |
| METR Time Horizons | 59.2% | — |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
Kimi K2 (Jul 2025): 23.3 (#179), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | Kimi K2 (Jul 2025) | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 26.3% | 57.9% |
| Epoch Capabilities Index | 146.01 | 149.97 |
| Kagi LLM Benchmark | 64.4% | — |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | 1384 | — |
| Surface Evolver Bench | — | 48.8% |
| ForecastBench | 60.2 | — |
Math Kimi K2.7 Code leads
Kimi K2 (Jul 2025): 42.7 (#83), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | Kimi K2 (Jul 2025) | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| Omni-MATH | 65.4% | — |
| LMArena Math | 1397 | — |
| FrontierMath (Feb 2025 set) | 21.4% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Kimi K2.7 Code leads
Kimi K2 (Jul 2025): 37.3 (#157), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | Kimi K2 (Jul 2025) | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |
| MMLU-Pro | 81.9% | — |
| Confabulations | 20.4% | — |
| Vectara Hallucination Rate | 17.9% | — |
| GPQA (HELM) | 65.3% | — |
| LMArena Expert | 1365 | — |
Multilingual Not comparable
Kimi K2 (Jul 2025): 49.6 (#130), Kimi K2.7 Code: —
| Benchmark | Kimi K2 (Jul 2025) | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1372 | — |
| LMArena Chinese | 1415 | — |
| LMArena French | 1379 | — |
| LMArena German | 1387 | — |
| LMArena Japanese | 1349 | — |
| LMArena Korean | 1325 | — |
| LMArena Russian | 1385 | — |
| LMArena Spanish | 1386 | — |
Instruction Following Not comparable
Kimi K2 (Jul 2025): 71.1 (#156), Kimi K2.7 Code: —
| Benchmark | Kimi K2 (Jul 2025) | Kimi K2.7 Code |
|---|---|---|
| IFEval | 85% | — |
| LMArena Instruction Following | 1348 | — |
Long Context Not comparable
Kimi K2 (Jul 2025): 41.2 (#145), Kimi K2.7 Code: —
| Benchmark | Kimi K2 (Jul 2025) | Kimi K2.7 Code |
|---|---|---|
| Fiction.LiveBench | 66.7% | — |
| CL-bench | 17.6% | — |
| LMArena Longer Query | 1353 | — |
Writing & Preference Not comparable
Kimi K2 (Jul 2025): 62.3 (#78), Kimi K2.7 Code: —
| Benchmark | Kimi K2 (Jul 2025) | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1380 | — |
| LMArena Creative Writing | 1350 | — |
| Short-Story Creative Writing | 85.6% | — |
| EQ-Bench Creative Writing | 1666 | — |
| WildBench | 86.2% | — |
| LMArena Multi-Turn | 1371 | — |
Frequently asked questions
Is Kimi K2 (Jul 2025) better than Kimi K2.7 Code?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 41.2 on the Noometry Index. Kimi K2 (Jul 2025) costs 1.7× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Which is cheaper, Kimi K2 (Jul 2025) or Kimi K2.7 Code?
Kimi K2 (Jul 2025) is cheaper. It lists at $0.57 per million input tokens and $2.30 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Kimi K2 (Jul 2025) or Kimi K2.7 Code better for coding?
They score almost the same on coding (42.4 vs 42.9); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Kimi K2 (Jul 2025) and Kimi K2.7 Code share?
4 benchmarks have published results for both models. Kimi K2 (Jul 2025) has 42 scored results on Noometry and Kimi K2.7 Code has 19.