Kimi K3 wins on coding (96 vs 93) and writing quality. DeepSeek V4-Pro wins on price ($0.435 vs $3/1M input). For most workflows, Kimi K3 is the stronger default — closest chinese challenger to the frontier — #4 overall on intelligence.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Kimi K3 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Meta: Llama 3.1 8B Instruct is the lower-cost option to start with when you still need useful output at scale.
DeepSeek V4-Pro is the better pick when response speed matters more than maximum reasoning depth.
Kimi K3 leads on coding with a score of 96 vs 93 for DeepSeek V4-Pro.
DeepSeek V4-Pro is cheaper at $0.435/1M input tokens vs $3/1M for Kimi K3.
Kimi K3 is the stronger default for reasoning tasks.
Choose Kimi K3 for reasoning and coding — frontier-level reasoning and agentic coding.
Choose DeepSeek V4-Pro when frontier-level coding and reasoning on a budget.
DeepSeek V4-Pro is the more cost-efficient option at $0.435/1M — worth considering if token volume is a concern.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Moonshot / Premium / Aug 6, 2026
Closest Chinese challenger to the frontier — #4 overall on intelligence.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need fast responses or predictable output costs — always-on thinking burns tokens.
The fastest way to see where the recommendation shifts when your priority changes.
Closest Chinese challenger to the frontier — #4 overall on intelligence.
Best open-weights flagship — near-frontier coding at a tenth of the price.
AA Intelligence Index v4.1: 57.1 — #4 overall, behind only Claude Fable 5 and GPT-5.6 Sol, ahead of Claude Opus 4.8
FrontierSWE 81.2 and Terminal-Bench 2.0 88.3 — frontier-grade agentic coding numbers
Open weights (July 26, 2026) — at 2.8T parameters, the largest open-weight release in history
Most expensive Chinese-lab model ever ($3/$15) with always-on thinking driving high output-token burn and slow responses
2.8T size makes self-hosting impractical despite open weights; consumer signups were paused July 19 over GPU capacity
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Kimi K3 wins on more categories — reasoning, coding, research. DeepSeek V4-Pro is the better pick when frontier-level coding and reasoning on a budget. The right choice depends on your specific use case.
DeepSeek V4-Pro is cheaper at $0.435/1M input and $0.87/1M output. Kimi K3 costs $3/1M input and $15/1M output.
Both Kimi K3 and DeepSeek V4-Pro have the same 1M context window.
Kimi K3 is better for coding with a score of 96 vs DeepSeek V4-Pro's 93 (out of 100). Claude Fable 5 is the overall coding leader in this directory at 100/100.
DeepSeek V4-Pro is faster with a balanced speed rating (score: 3) vs Kimi K3's deliberate rating (score: 2).