AI model matchup
Qwen3.8 Max vs Kimi K3
A side-by-side look at published capability scores, listed API pricing, speed, context, and license - to help you decide which trade-offs fit your work.
Qwen3.8 MaxvsKimi K3
Kimi K3 leads the RankLLMs Index by 0.2 points (56.0 vs 55.8). Verified API Pricing: $2.00 (Qwen3.8 Max) vs Free/Open Source (Kimi K3) per 1M tokens.
Capability profile
Speed duel
tpsPrice duel
$/1MShorter bar = cheaper. Blended per 1M tokens.
| Metric | Qwen3.8 Max | Kimi K3 |
|---|---|---|
| RankLLMs Overall Score | 55.8 pts | 56.0 pts ▲ |
| Reasoning | 62.8 | 64.2 ▲ |
| Coding | 79.4 | 80.5 ▲ |
| Agentic Tool Use | 56.2 | 56.4 ▲ |
| Code Arena Elo | 1724 ▲ | 1682 |
| Inference Speed | 39 tps | 52 tps ▲ |
| API Price (per 1M tokens) | $2.00 | Free/Open Source |
| Context Window | 1M | 1M |
| License | Proprietary | Open Source |
| Global Rank | #13 | #12 ▲ |
Decision notes
What the numbers suggest
Kimi K3 leads the RankLLMs overall score by 0.2 points. Qwen3.8 Max has the lower listed API rate ($2.00 per 1M tokens).
Treat the overall index as a starting point, then prioritize the benchmark that resembles your task. Published scores and provider pricing can change; this comparison does not represent a first-party test of either model.
- Overall index
- Kimi K3 leads
- 55.8 to 56.0 pts
- Coding score
- Kimi K3 leads
- 79.4 to 80.5 pts
- Reasoning score
- Kimi K3 leads
- 62.8 to 64.2 pts
- Agentic score
- Kimi K3 leads
- 56.2 to 56.4 pts
Choose by workload
Which profile fits your use?
Qwen / Alibaba
Consider Qwen3.8 Max when
your workload gives more weight to the lower listed API rate. Compare those signals with your own task mix, latency needs, and budget.
View Qwen3.8 Max profileMoonshot AI
Consider Kimi K3 when
your workload gives more weight to the higher listed coding score, the higher listed reasoning score, the higher overall index score. Compare those signals with your own task mix, latency needs, and budget.
View Kimi K3 profile