Model comparison
Kimi K2.7 Code vs Qwen3.5-Flash
Kimi K2.7 Code and Qwen3.5-Flash score almost the same on the Noometry Index (43.3 vs 42.5), so choose on price, context window or the category you care about most.
Last verified . 9 shared benchmarks.
Alibaba (Qwen)Summary
- They share 9 benchmarks with published results for both. Kimi K2.7 Code scores higher in 4 categories and Qwen3.5-Flash in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 37.4.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 54% for Kimi K2.7 Code and 18.2% for Qwen3.5-Flash.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Qwen3.5-Flash accepts more context: 1M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| Kimi K2.7 Code | Qwen3.5-Flash | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.3 | 42.5 |
| Released | 2026-06-12 | 2026-02-23 |
| Weights | Open | Proprietary |
| Context window | 262K | 1M |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.95 | $0.10 |
| Output $ / M tokens | $4 | $0.40 |
| Results tracked | 19 | 32 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.9 (#95), Qwen3.5-Flash: 34.2 (#242)
| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| LMArena WebDev | 1473 | 1244 |
| ALE-Bench | 886.23 | 221.8 |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1412 |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Qwen3.5-Flash: —
| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | 5,083 | 462.69 |
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), Qwen3.5-Flash: 33.7 (#72)
| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| Chess Puzzles | 21% | 21% |
| Epoch Capabilities Index | 149.97 | 143.98 |
| SimpleBench | 57.9% | — |
| CritPt | 10% | — |
| LMArena Hard Prompts | — | 1403 |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LMCA | — | 29.1% |
| Surface Evolver Bench | 48.8% | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Qwen3.5-Flash: 37.4 (#158)
| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | 18.2% |
| OTIS Mock AIME 2024-2025 | 95.6% | 84.4% |
| FrontierMath Tier 4 | 12.2% | — |
| LMArena Math | — | 1407 |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Qwen3.5-Flash: 43.2 (#93)
| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| GPQA Diamond | 87.9% | 82.3% |
| SimpleQA Verified | 36.5% | 20.3% |
| Vectara Hallucination Rate | — | 10.5% |
| LMArena Expert | — | 1407 |
Multilingual Not comparable
Kimi K2.7 Code: —, Qwen3.5-Flash: 50.5 (#121)
| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | — | 1385 |
| LMArena Chinese | — | 1446 |
| LMArena French | — | 1412 |
| LMArena German | — | 1390 |
| LMArena Japanese | — | 1368 |
| LMArena Korean | — | 1344 |
| LMArena Russian | — | 1379 |
| LMArena Spanish | — | 1400 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Qwen3.5-Flash: 72.6 (#139)
| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | — | 1374 |
Long Context Not comparable
Kimi K2.7 Code: —, Qwen3.5-Flash: 42.4 (#124)
| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | — | 1392 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Qwen3.5-Flash: 57.9 (#122)
| Benchmark | Kimi K2.7 Code | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | — | 1397 |
| LMArena Creative Writing | — | 1343 |
| LMArena Multi-Turn | — | 1393 |
Frequently asked questions
Is Kimi K2.7 Code better than Qwen3.5-Flash?
Kimi K2.7 Code and Qwen3.5-Flash score almost the same on the Noometry Index (43.3 vs 42.5), so choose on price, context window or the category you care about most.
Which is cheaper, Kimi K2.7 Code or Qwen3.5-Flash?
Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Kimi K2.7 Code or Qwen3.5-Flash better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 34.2 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5-Flash does, with 1M tokens against 262K.
How many benchmarks do Kimi K2.7 Code and Qwen3.5-Flash share?
9 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen3.5-Flash has 32.