Alternative register
Best Kimi Alternatives in 2026
Kimi alternatives ranked by benchmark performance, cost, long-context support, and open-weight availability.
Kimi alternatives often come down to coding quality, output cost, and whether you need an open or proprietary deployment path. BenchLM ranks non-Moonshot replacements against Kimi K2.7 Code.
BenchLM uses Kimi K2.7 Code as the default current Kimi reference.
Direct answer
Qwen3.8 Max
Best current pickQwen3.8 Max is a strong Kimi alternative. It beats Kimi K2.7 Code on BenchLM's general use score. Its blended token price is about 100% lower than Kimi K2.7 Code. It is also open-weight, so you can self-host or fine-tune it.
Alibaba · Open Weight · 1M context
Qwen3.8 Max is a strong Kimi alternative. It beats Kimi K2.7 Code on BenchLM's general use score. Its blended token price is about 100% lower than Kimi K2.7 Code. It is also open-weight, so you can self-host or fine-tune it.
BenchLM fit
88.5
Score vs ref
140%
Token cost
100% cheaper
Alibaba · Open Weight · 262K context
Qwen3.8-27B is a strong Kimi alternative. It beats Kimi K2.7 Code on BenchLM's general use score. Its blended token price is about 100% lower than Kimi K2.7 Code. It is also open-weight, so you can self-host or fine-tune it.
BenchLM fit
87.6
Score vs ref
125%
Token cost
100% cheaper
Tencent · Open Weight · 1M context
Hy4 preview is a strong Kimi alternative. It beats Kimi K2.7 Code on BenchLM's general use score. Its blended token price is about 100% lower than Kimi K2.7 Code. It is also open-weight, so you can self-host or fine-tune it.
BenchLM fit
87.3
Score vs ref
124%
Token cost
100% cheaper
Ornith AI · Open Weight · 262K context
Ornith-1.5-397B is a strong Kimi alternative. It beats Kimi K2.7 Code on BenchLM's general use score. Its blended token price is about 100% lower than Kimi K2.7 Code. It is also open-weight, so you can self-host or fine-tune it.
BenchLM fit
87
Score vs ref
122%
Token cost
100% cheaper
Dots Studio · Open Weight · 512K context
dots3-note Preview is a strong Kimi alternative. It beats Kimi K2.7 Code on BenchLM's general use score. Its blended token price is about 100% lower than Kimi K2.7 Code. It is also open-weight, so you can self-host or fine-tune it.
BenchLM fit
86.7
Score vs ref
120%
Token cost
100% cheaper
Z.AI · Open Weight · 1M context
GLM-5.3 is a strong Kimi alternative. It beats Kimi K2.7 Code on BenchLM's general use score. Its blended token price is about 100% lower than Kimi K2.7 Code. It is also open-weight, so you can self-host or fine-tune it.
BenchLM fit
86
Score vs ref
116%
Token cost
100% cheaper
Why this page ranks alternatives this way
BenchLM does not treat an alternative query like a generic leaderboard. This page starts from the tracked Kimi K2.7 Code reference, then weights benchmark quality, token cost, context window, and deployment model to find realistic replacements.
That means a model can outrank the absolute leaderboard leader here if it stays close enough on benchmarks while being materially cheaper, more open, or better matched to the workflow implied by the query.
Next step
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FAQ
What is the best Kimi alternative in 2026?
Qwen3.8 Max is the current top pick on this page. It scores 77 in the selected BenchLM use-case weighting and 140% of Kimi K2.7 Code's benchmark profile, with 100% cheaper as the pricing summary.
What is the cheapest Kimi alternative with strong BenchLM scores?
Qwen3.8 Max is the best low-cost candidate surfaced by this page. It ranks as a serious replacement while landing at 100% cheaper than the tracked Kimi K2.7 Code reference.
Is there an open source Kimi alternative?
Yes. Qwen3.8 Max is the strongest open-weight option on this page. BenchLM surfaces it because it combines self-hostable deployment with a 77 weighted score and 1M of context.
How does BenchLM rank Kimi alternatives?
BenchLM uses Kimi K2.7 Code as the tracked Kimi reference here, then scores alternatives from benchmark performance first. Token cost, context window, and open-weight preference are used to break ties and surface better real-world replacements rather than just the raw leaderboard winner.