Model comparison
Kimi K2.7 Code vs Qwen3-Next 80B-A3B Instruct
Kimi K2.7 Code and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (43.3 vs 43.0), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 38.8.
- Qwen3-Next 80B-A3B Instruct is cheaper at $0.50 / $2 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Kimi K2.7 Code accepts more context: 262K tokens versus 131K.
Side by side
| Kimi K2.7 Code | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.3 | 43.0 |
| Released | 2026-06-12 | 2025-09 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 262K | 33K |
| Input $ / M tokens | $0.95 | $0.50 |
| Output $ / M tokens | $4 | $2 |
| Results tracked | 19 | 25 |
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Category by category
Coding Too close to call
Kimi K2.7 Code: 42.9 (#95), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Kimi K2.7 Code | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| SciCode | 47.5% | — |
| WeirdML | 54.1% | — |
| LMArena Coding | — | 1440 |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 24.0 (#122), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Kimi K2.7 Code | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 39.0 (#61), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Kimi K2.7 Code | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| SimpleBench | 57.9% | — |
| Kagi LLM Benchmark | — | 66.7% |
| CritPt | 10% | — |
| Chess Puzzles | 21% | — |
| LMArena Hard Prompts | — | 1428 |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 149.97 | — |
Math Kimi K2.7 Code leads
Kimi K2.7 Code: 52.9 (#48), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Kimi K2.7 Code | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
Knowledge Kimi K2.7 Code leads
Kimi K2.7 Code: 53.5 (#57), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Kimi K2.7 Code | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1417 |
Multilingual Not comparable
Kimi K2.7 Code: —, Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Kimi K2.7 Code | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | — | 1407 |
| LMArena Chinese | — | 1460 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Russian | — | 1404 |
| LMArena Spanish | — | 1435 |
Instruction Following Not comparable
Kimi K2.7 Code: —, Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Kimi K2.7 Code | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1389 |
Long Context Not comparable
Kimi K2.7 Code: —, Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Kimi K2.7 Code | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | — | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Not comparable
Kimi K2.7 Code: —, Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Kimi K2.7 Code | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1334 |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is Kimi K2.7 Code better than Qwen3-Next 80B-A3B Instruct?
Kimi K2.7 Code and Qwen3-Next 80B-A3B Instruct score almost the same on the Noometry Index (43.3 vs 43.0), so choose on price, context window or the category you care about most.
Which is cheaper, Kimi K2.7 Code or Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is cheaper. It lists at $0.50 per million input tokens and $2 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Kimi K2.7 Code or Qwen3-Next 80B-A3B Instruct better for coding?
They score almost the same on coding (42.9 vs 42.5); test both on your own repository before choosing.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 131K.
How many benchmarks do Kimi K2.7 Code and Qwen3-Next 80B-A3B Instruct share?
0 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.