Best overall model
GLM-5.2
Why this recommendation
GLM-5.2 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Z.aiBudget
- Best for
- Budget agentic coding at scale
- Price
- $1.40/1M
- Context
- 1M tokens
GLM-5.2 wins on coding (90 vs 88) and writing quality and context window (1M vs 256K). Kimi K2.7 Code wins on price ($0.95 vs $1.4/1M input). For most workflows, GLM-5.2 is the stronger default — top open-weights coder — beats gpt-5.5 at a sixth of the cost.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
GLM-5.2 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.
Kimi K2.7 Code is the better pick when response speed matters more than maximum reasoning depth.
GLM-5.2 leads on coding with a score of 90 vs 88 for Kimi K2.7 Code.
GLM-5.2 has the larger context window: 1M vs 256K for Kimi K2.7 Code.
Kimi K2.7 Code is cheaper at $0.95/1M input tokens vs $1.4/1M for GLM-5.2.
Choose GLM-5.2 for coding and budget — budget agentic coding at scale.
Choose Kimi K2.7 Code when cost-efficient agentic coding.
Kimi K2.7 Code is the more cost-efficient option at $0.95/1M — 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.
Z.ai / Budget / Aug 6, 2026
Top open-weights coder — beats GPT-5.5 at a sixth of the cost.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You need frontier reasoning ceiling or launch-day verified benchmarks.
The fastest way to see where the recommendation shifts when your priority changes.
Top open-weights coder — beats GPT-5.5 at a sixth of the cost.
Value coding specialist — 1T MoE agentic coder at budget prices.
SWE-bench Pro 62.1 — ahead of GPT-5.5 and close to Claude Opus 4.8 on agentic coding
AA Intelligence Index 51 in max-thinking mode — well above similar-size open-weight models
MIT-licensed weights with aggressive pricing: $1.40/$4.40 first-party, cheaper via third-party hosts
Clear gap to the closed frontier: AA Index 51 vs Claude Opus 5 (61) and GPT-5.6 Sol (59)
Z.ai published no benchmark numbers at launch — buyers depended on third-party evals that arrived weeks later
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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GLM-5.2 wins on more categories — coding, budget, reasoning. Kimi K2.7 Code is the better pick when cost-efficient agentic coding. The right choice depends on your specific use case.
Kimi K2.7 Code is cheaper at $0.95/1M input and $4/1M output. GLM-5.2 costs $1.4/1M input and $4.4/1M output.
GLM-5.2 has the larger context window at 1M tokens vs Kimi K2.7 Code's 256K. For large document analysis, GLM-5.2 is the stronger pick.
GLM-5.2 is better for coding with a score of 90 vs Kimi K2.7 Code's 88 (out of 100). Claude Fable 5 is the overall coding leader in this directory at 100/100.
Kimi K2.7 Code is faster with a fast speed rating (score: 4) vs GLM-5.2's balanced rating (score: 3).