GLM-5 9B vs Kimi K2 Instruct
GLM-5 9B (2026) and Kimi K2 Instruct (2025) are frontier-tier reasoning models from Zhipu AI and Moonshot AI. GLM-5 9B ships a 262k-token context window, while Kimi K2 Instruct ships a 131k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
GLM-5 9B is safer overall; choose Kimi K2 Instruct when provider fit matters.
Decision scorecard
Local evidence first| Signal | GLM-5 9B | Kimi K2 Instruct |
|---|---|---|
| Best for | reasoning-heavy apps and tool-calling agents | reasoning-heavy apps and provider-routed production |
| Decision fit | RAG, Agents, and Long context | RAG, Long context, and Classification |
| Context window | 262k | 131k |
| Cheapest output | - | $2.30/1M tokens |
| Provider routes | 0 tracked | 5 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- GLM-5 9B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- GLM-5 9B uniquely exposes JSON / Tool use in local model data.
- Local decision data tags GLM-5 9B for RAG, Agents, and Long context.
- Kimi K2 Instruct has broader tracked provider coverage for fallback and route flexibility.
- Kimi K2 Instruct uniquely exposes Structured outputs in local model data.
- Local decision data tags Kimi K2 Instruct for RAG, Long context, and Classification.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GLM-5 9B
Unavailable
No complete token price in local provider data
Kimi K2 Instruct
$1,031
Cheapest tracked route/tier: Vercel AI Gateway
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GLM-5 9B and Kimi K2 Instruct; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for JSON / Tool use before moving production traffic.
- Kimi K2 Instruct adds Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for Kimi K2 Instruct and GLM-5 9B; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- GLM-5 9B adds JSON / Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-15 | 2025-09-05 |
| Context window | 262k | 131k |
| Parameters | 9 | 1T total, 32B active (MoE) |
| Architecture | Decoder Only | Decoder Only |
| License | MITOSI-approved | MITOSI-approved |
| Openness | Open source | Open source |
| Weights | Available | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | 2025-11 | - |
Pricing and availability
| Pricing attribute | GLM-5 9B | Kimi K2 Instruct |
|---|---|---|
| Input price | - | $0.57/1M tokens |
| Output price | - | $2.30/1M tokens |
| Providers | - |
Capabilities
| Capability | GLM-5 9B | Kimi K2 Instruct |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | Yes |
| JSON / Tool use | Yes | No |
| Structured outputs | No | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.