GLM-5V-Turbo vs Kimi K2 Thinking Turbo
GLM-5V-Turbo (2026) and Kimi K2 Thinking Turbo (2025) are frontier reasoning models from Zhipu AI and Moonshot AI. GLM-5V-Turbo ships a 200k-token context window, while Kimi K2 Thinking Turbo ships a 262K-token context window. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing. The goal is to make the tradeoff clear before deeper testing.
GLM-5V-Turbo is safer overall; choose Kimi K2 Thinking Turbo when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | GLM-5V-Turbo | Kimi K2 Thinking Turbo |
|---|---|---|
| Decision fit | RAG, Agents, and Long context | Long context |
| Context window | 200k | 262K |
| Cheapest output | $4/1M tokens | - |
| Provider routes | 1 tracked | 0 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GLM-5V-Turbo has broader tracked provider coverage for fallback and procurement flexibility.
- GLM-5V-Turbo uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags GLM-5V-Turbo for RAG, Agents, and Long context.
- Kimi K2 Thinking Turbo has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Kimi K2 Thinking Turbo for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
GLM-5V-Turbo
$1,960
Cheapest tracked route: OpenRouter
Kimi K2 Thinking Turbo
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GLM-5V-Turbo and Kimi K2 Thinking Turbo; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- No overlapping tracked provider route is sourced for Kimi K2 Thinking Turbo and GLM-5V-Turbo; plan for SDK, billing, or endpoint changes.
- GLM-5V-Turbo adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-01 | 2025-11-06 |
| Context window | 200k | 262K |
| Parameters | 744B total, 40B active | — |
| Architecture | mixture of experts | - |
| License | Proprietary | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | GLM-5V-Turbo | Kimi K2 Thinking Turbo |
|---|---|---|
| Input price | $1.2/1M tokens | - |
| Output price | $4/1M tokens | - |
| Providers | - |
Capabilities
| Capability | GLM-5V-Turbo | Kimi K2 Thinking Turbo |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | No |
| Reasoning | Yes | No |
| Function calling | Yes | No |
| Tool use | Yes | No |
| Structured outputs | Yes | No |
| Code execution | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: GLM-5V-Turbo, multimodal input: GLM-5V-Turbo, reasoning mode: GLM-5V-Turbo, function calling: GLM-5V-Turbo, tool use: GLM-5V-Turbo, and structured outputs: GLM-5V-Turbo. Both models share the core language-model surface, 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.
Pricing coverage is uneven: GLM-5V-Turbo has $1.2/1M input tokens and Kimi K2 Thinking Turbo has no token price sourced yet. Provider availability is 1 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GLM-5V-Turbo when reasoning depth and broader provider choice are central to the workload. Choose Kimi K2 Thinking Turbo when long-context analysis and larger context windows 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-5V-Turbo or Kimi K2 Thinking Turbo?
Kimi K2 Thinking Turbo supports 262K tokens, while GLM-5V-Turbo supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is GLM-5V-Turbo or Kimi K2 Thinking Turbo open source?
GLM-5V-Turbo is listed under Proprietary. Kimi K2 Thinking Turbo is listed under Proprietary. 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-5V-Turbo or Kimi K2 Thinking Turbo?
GLM-5V-Turbo 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-5V-Turbo or Kimi K2 Thinking Turbo?
GLM-5V-Turbo 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.
Which is better for reasoning mode, GLM-5V-Turbo or Kimi K2 Thinking Turbo?
GLM-5V-Turbo has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run GLM-5V-Turbo and Kimi K2 Thinking Turbo?
GLM-5V-Turbo is available on OpenRouter. Kimi K2 Thinking Turbo is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.