Model comparison
Kimi K2.7 Code vs Qwen3.6 Max Preview
Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 1.7× less per token, which makes it the better buy when Qwen3.6 Max Preview's lead doesn't matter for your workload.
Last verified . 8 shared benchmarks.
Alibaba (Qwen)Summary
- They share 8 benchmarks with published results for both. Kimi K2.7 Code scores higher in 0 categories and Qwen3.6 Max Preview in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3.6 Max Preview leads 48.7 to 42.9.
- The biggest single-benchmark swing is SimpleQA Verified: 36.5% for Kimi K2.7 Code and 52% for Qwen3.6 Max Preview.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $1.30 / $7.80 for Qwen3.6 Max Preview.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| Kimi K2.7 Code | Qwen3.6 Max Preview | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.3 | 51.5 |
| Released | 2026-06-12 | 2026-04-20 |
| Weights | Open | Proprietary |
| Context window | 262K | 262K |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.95 | $1.30 |
| Output $ / M tokens | $4 | $7.80 |
| Results tracked | 19 | 29 |
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Category by category
Coding Qwen3.6 Max Preview leads
Kimi K2.7 Code: 42.9 (#95), Qwen3.6 Max Preview: 48.7 (#54)
| Benchmark | Kimi K2.7 Code | Qwen3.6 Max Preview |
|---|---|---|
| LMArena WebDev | 1473 | 1482 |
| SWE-bench Verified | — | 76.7% |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1471 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Qwen3.6 Max Preview: —
| Benchmark | Kimi K2.7 Code | Qwen3.6 Max Preview |
|---|---|---|
| Vending-Bench 2 | 5,083 | 4,254 |
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
Reasoning Qwen3.6 Max Preview leads
Kimi K2.7 Code: 39.0 (#61), Qwen3.6 Max Preview: 41.7 (#53)
| Benchmark | Kimi K2.7 Code | Qwen3.6 Max Preview |
|---|---|---|
| SimpleBench | 57.9% | 63% |
| Chess Puzzles | 21% | 20% |
| Epoch Capabilities Index | 149.97 | 149.24 |
| NYT Connections (extended) | — | 74.1% |
| CritPt | 10% | — |
| LMArena Hard Prompts | — | 1457 |
| Mystery Game Puzzles | — | 19% |
| DTBench | — | 87.2% |
| LMCA | — | 42.5% |
| Surface Evolver Bench | 48.8% | — |
Math Qwen3.6 Max Preview leads
Kimi K2.7 Code: 52.9 (#48), Qwen3.6 Max Preview: 54.1 (#46)
| Benchmark | Kimi K2.7 Code | Qwen3.6 Max Preview |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.6% | 91.1% |
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| LMArena Math | — | 1465 |
| FrontierMath (Feb 2025 set) | — | 23.1% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge Qwen3.6 Max Preview leads
Kimi K2.7 Code: 53.5 (#57), Qwen3.6 Max Preview: 57.6 (#39)
| Benchmark | Kimi K2.7 Code | Qwen3.6 Max Preview |
|---|---|---|
| GPQA Diamond | 87.9% | 87.4% |
| SimpleQA Verified | 36.5% | 52% |
| LMArena Expert | — | 1478 |
Multilingual Not comparable
Kimi K2.7 Code: —, Qwen3.6 Max Preview: 54.2 (#48)
| Benchmark | Kimi K2.7 Code | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Non-English | — | 1437 |
| LMArena Chinese | — | 1487 |
| LMArena French | — | 1449 |
| LMArena Russian | — | 1445 |
| LMArena Spanish | — | 1454 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Qwen3.6 Max Preview: 75.7 (#55)
| Benchmark | Kimi K2.7 Code | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Instruction Following | — | 1438 |
Long Context Not comparable
Kimi K2.7 Code: —, Qwen3.6 Max Preview: 44.6 (#61)
| Benchmark | Kimi K2.7 Code | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Longer Query | — | 1457 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Qwen3.6 Max Preview: 63.8 (#60)
| Benchmark | Kimi K2.7 Code | Qwen3.6 Max Preview |
|---|---|---|
| LMArena Text | — | 1447 |
| LMArena Creative Writing | — | 1435 |
| LMArena Multi-Turn | — | 1456 |
Frequently asked questions
Is Kimi K2.7 Code better than Qwen3.6 Max Preview?
Qwen3.6 Max Preview is the stronger model overall, scoring 51.5 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 1.7× less per token, which makes it the better buy when Qwen3.6 Max Preview's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.7 Code or Qwen3.6 Max Preview?
Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; Qwen3.6 Max Preview lists at $1.30 and $7.80.
Is Kimi K2.7 Code or Qwen3.6 Max Preview better for coding?
Qwen3.6 Max Preview scores higher on coding benchmarks: 48.7 versus 42.9 in the Noometry coding category.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Kimi K2.7 Code and Qwen3.6 Max Preview share?
8 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen3.6 Max Preview has 29.