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 2.6.
BenchLM uses Kimi 2.6 as the default current Kimi reference.
Direct answer
Qwen3.7 Max is a strong Kimi alternative. It beats Kimi K2.6 on BenchLM's general use score. It adds a larger 1M context window than the tracked Kimi reference.
Alibaba · Proprietary · 1M context
Qwen3.7 Max is a strong Kimi alternative. It beats Kimi K2.6 on BenchLM's general use score. It adds a larger 1M context window than the tracked Kimi reference.
BenchLM fit
84.2
Score vs ref
108%
Token cost
Pricing unavailable
xAI · Proprietary · 1M context
Grok 4.1 is a strong Kimi alternative. It beats Kimi K2.6 on BenchLM's general use score. It adds a larger 1M context window than the tracked Kimi reference.
BenchLM fit
83.6
Score vs ref
~107%
Token cost
Pricing unavailable
DeepSeek · Open Weight · 1M context
DeepSeek V4 Pro (Max) is a strong Kimi alternative. It beats Kimi K2.6 on BenchLM's general use score. It is also open-weight, so you can self-host or fine-tune it.
BenchLM fit
83.5
Score vs ref
104%
Token cost
2% cheaper
Alibaba · Open Weight · 262K context
Qwen3.6-27B is a strong Kimi alternative. It still posts a credible 73 score for general use work on BenchLM. Its blended token price is about 100% lower than Kimi K2.6. It is also open-weight, so you can self-host or fine-tune it.
BenchLM fit
83.4
Score vs ref
87%
Token cost
100% cheaper
H Company · Proprietary · 64K context
Holo3-122B-A10B is a strong Kimi alternative. It beats Kimi K2.6 on BenchLM's general use score. Its blended token price is about 29% lower than Kimi K2.6.
BenchLM fit
82.6
Score vs ref
~119%
Token cost
29% cheaper
MiniMax · Open Weight · 1M context
MiniMax M3 is a strong Kimi alternative. It retains about 90% of Kimi K2.6's general use benchmark profile. Its blended token price is about 70% lower than Kimi K2.6. It is also open-weight, so you can self-host or fine-tune it.
BenchLM fit
82.6
Score vs ref
90%
Token cost
70% cheaper
BenchLM does not treat an alternative query like a generic leaderboard. This page starts from the tracked Kimi K2.6 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.
Change the goal, use case, or minimum context if this landing page is close but not exact.
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Qwen3.7 Max is the current top pick on this page. It scores 91 in the selected BenchLM use-case weighting and 108% of Kimi K2.6's benchmark profile, with pricing unavailable as the pricing summary.
Qwen3.6-27B 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 K2.6 reference.
Yes. DeepSeek V4 Pro (Max) is the strongest open-weight option on this page. BenchLM surfaces it because it combines self-hostable deployment with a 87 weighted score and 1M of context.
BenchLM uses Kimi K2.6 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.