GLM-5.2 vs Kimi K2.7-Code
GLM-5.2 (2026) and Kimi K2.7-Code (2026) compare a standalone API model against a coding-specialized model. GLM-5.2 ships a 1m-token context window, while Kimi K2.7-Code ships a 262k-token context window. On pricing, Kimi K2.7-Code costs $0.95/1M input tokens versus $1.40/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: GLM-5.2 is standalone API model, while Kimi K2.7-Code is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | GLM-5.2 | Kimi K2.7-Code |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps, tool-calling agents, and long-context analysis | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 262k |
| Cheapest output | $4.40/1M tokens | $4/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GLM-5.2 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5.2 uniquely exposes Code execution in local model data.
- Local decision data tags GLM-5.2 for Coding, RAG, and Agents.
- Kimi K2.7-Code has the lower cheapest tracked output price at $4/1M tokens.
- Kimi K2.7-Code uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Kimi K2.7-Code for Coding, RAG, and Agents.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GLM-5.2
$2,220
Cheapest tracked route/tier: OpenRouter
Kimi K2.7-Code
$1,760
Cheapest tracked route/tier: Moonshot AI Kimi
Estimated monthly gap: $460. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for GLM-5.2 and Kimi K2.7-Code; plan for SDK, billing, or endpoint changes.
- Kimi K2.7-Code is $0.40/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- Kimi K2.7-Code adds Vision and Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Kimi K2.7-Code and GLM-5.2; plan for SDK, billing, or endpoint changes.
- GLM-5.2 is $0.40/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
- GLM-5.2 adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-06-13 | 2026-06-12 |
| Context window | 1m | 262k |
| Parameters | 753B total, 40B active | 1T |
| Architecture | Mixture of Experts | Mixture of Experts |
| License | MITOSI-approved | MITOSI-approved |
| Openness | Open source | Open source |
| Commercial use | License generally permits commercial use — review terms | License generally permits commercial use — review terms |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | GLM-5.2 | Kimi K2.7-Code |
|---|---|---|
| Input price | $1.40/1M tokens | $0.95/1M tokens |
| Output price | $4.40/1M tokens | $4/1M tokens |
| Providers |
Capabilities
| Capability | GLM-5.2 | Kimi K2.7-Code |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | Yes | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Deep dive
The capability footprint differs most on vision: Kimi K2.7-Code, multimodal input: Kimi K2.7-Code, and code execution: GLM-5.2. Both models share reasoning mode, function calling, tool use, and structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, GLM-5.2 lists $1.40/1M input and $4.40/1M output tokens on the cheapest tracked provider, while Kimi K2.7-Code lists $0.95/1M input and $4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Kimi K2.7-Code lower by about $0.44 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose GLM-5.2 when coding workflow support and larger context windows are central to the workload. Choose Kimi K2.7-Code when coding workflow support and lower input-token cost are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, GLM-5.2 or Kimi K2.7-Code?
GLM-5.2 supports 1m tokens, while Kimi K2.7-Code supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, GLM-5.2 or Kimi K2.7-Code?
Kimi K2.7-Code is cheaper on tracked token pricing. GLM-5.2 costs $1.40/1M input and $4.40/1M output tokens. Kimi K2.7-Code costs $0.95/1M input and $4/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GLM-5.2 or Kimi K2.7-Code open source?
GLM-5.2 is listed under MIT. Kimi K2.7-Code is listed under MIT. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, GLM-5.2 or Kimi K2.7-Code?
Kimi K2.7-Code has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, GLM-5.2 or Kimi K2.7-Code?
Kimi K2.7-Code has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run GLM-5.2 and Kimi K2.7-Code?
GLM-5.2 is available on OpenRouter. Kimi K2.7-Code is available on Moonshot AI Kimi. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Continue comparing
Last reviewed: 2026-06-16. Data sourced from public model cards and provider documentation.