Model comparison
Kimi K2.7 Code vs Qwen3 Coder Next
Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 33.8 on the Noometry Index. Qwen3 Coder Next costs 5.9× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Kimi K2.7 Code scores higher in 2 categories and Qwen3 Coder Next in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 38.2 to 21.7.
- The biggest single-benchmark swing is WeirdML: 54.1% for Kimi K2.7 Code and 34.4% for Qwen3 Coder Next.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
Side by side
| Kimi K2.7 Code | Qwen3 Coder Next | |
|---|---|---|
| Provider | Moonshot AI | Alibaba (Qwen) |
| Noometry Index | 43.0 | 33.8 |
| Released | 2026-06-12 | 2026-02-02 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.95 | $0.12 |
| Output $ / M tokens | $4 | $0.80 |
| Results tracked | 19 | 3 |
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Category by category
Coding Kimi K2.7 Code leads
Kimi K2.7 Code: 42.4 (#92), Qwen3 Coder Next: 35.8 (#206)
| Benchmark | Kimi K2.7 Code | Qwen3 Coder Next |
|---|---|---|
| SciCode | 47.5% | 32.3% |
| WeirdML | 54.1% | 34.4% |
| DeepSWE | 30.5% | — |
| FrontierCode | 30.1% | — |
| LMArena WebDev | 1473 | — |
| ALE-Bench | 886.23 | — |
Agentic & Tool Use Not comparable
Kimi K2.7 Code: 23.9 (#115), Qwen3 Coder Next: —
| Benchmark | Kimi K2.7 Code | Qwen3 Coder Next |
|---|---|---|
| APEX-Agents | 37.6% | — |
| GBAEval | 0.9% | — |
| Vending-Bench 2 | 5,083 | — |
Reasoning Kimi K2.7 Code leads
Kimi K2.7 Code: 38.2 (#56), Qwen3 Coder Next: 21.7 (#191)
| Benchmark | Kimi K2.7 Code | Qwen3 Coder Next |
|---|---|---|
| CritPt | 10% | 0% |
| SimpleBench | 57.9% | — |
| Chess Puzzles | 21% | — |
| Surface Evolver Bench | 48.8% | — |
| Epoch Capabilities Index | 150.01 | — |
Math Not comparable
Kimi K2.7 Code: 52.6 (#39), Qwen3 Coder Next: —
| Benchmark | Kimi K2.7 Code | Qwen3 Coder Next |
|---|---|---|
| FrontierMath (Tiers 1-3) | 54% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 95.6% | — |
Knowledge Not comparable
Kimi K2.7 Code: 53.6 (#51), Qwen3 Coder Next: —
| Benchmark | Kimi K2.7 Code | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 87.9% | — |
| SimpleQA Verified | 36.5% | — |
Frequently asked questions
Is Kimi K2.7 Code better than Qwen3 Coder Next?
Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 33.8 on the Noometry Index. Qwen3 Coder Next costs 5.9× 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 K2.7 Code or Qwen3 Coder Next?
Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Kimi K2.7 Code or Qwen3 Coder Next better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.4 versus 35.8 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 Coder Next share?
3 benchmarks have published results for both models. Kimi K2.7 Code has 19 scored results on Noometry and Qwen3 Coder Next has 3.