GLM-5V-Turbo vs Kimi K2.5
GLM-5V-Turbo (2026) and Kimi K2.5 (2026) compare a standalone API model against a coding-specialized model. GLM-5V-Turbo ships a 200k-token context window, while Kimi K2.5 ships a 256k-token context window. On pricing, Kimi K2.5 costs $0.44/1M input tokens versus $1.20/1M 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-5V-Turbo is standalone API model, while Kimi K2.5 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-5V-Turbo | Kimi K2.5 |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps, multimodal apps, and tool-calling agents | custom coding agents, code generation, and tool loops |
| Decision fit | RAG, Agents, and Long context | Coding, RAG, and Agents |
| Context window | 200k | 256k |
| Cheapest output | $4/1M tokens | $2/1M tokens |
| Provider routes | 2 tracked | 10 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GLM-5V-Turbo uniquely exposes Reasoning and Tool use in local model data.
- Local decision data tags GLM-5V-Turbo for RAG, Agents, and Long context.
- Kimi K2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Kimi K2.5 has the lower cheapest tracked output price at $2/1M tokens.
- Kimi K2.5 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags Kimi K2.5 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-5V-Turbo
$1,960
Cheapest tracked route/tier: OpenRouter
Kimi K2.5
$852
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $1,108. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- Kimi K2.5 is $2/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and Tool use before moving production traffic.
- Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
- GLM-5V-Turbo is $2/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- GLM-5V-Turbo adds Reasoning and Tool use in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-01 | 2026-03-15 |
| Context window | 200k | 256k |
| Parameters | 744B total, 40B active | 1T (MoE, 384 experts) |
| Architecture | mixture of experts | mixture of experts |
| License | MIT(OSI) | Proprietary |
| Openness | Open source | Proprietary |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | 2025-11 | - |
Pricing and availability
| Pricing attribute | GLM-5V-Turbo | Kimi K2.5 |
|---|---|---|
| Input price | $1.20/1M tokens | $0.44/1M tokens |
| Output price | $4/1M tokens | $2/1M tokens |
| Providers |
Capabilities
| Capability | GLM-5V-Turbo | Kimi K2.5 |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | Yes | No |
| Function calling | Yes | Yes |
| Tool use | Yes | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: GLM-5V-Turbo and tool use: GLM-5V-Turbo. Both models share vision, multimodal input, function calling, 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-5V-Turbo lists $1.20/1M input and $4/1M output tokens on the cheapest tracked provider, while Kimi K2.5 lists $0.44/1M input and $2/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Kimi K2.5 lower by about $1.13 per million blended tokens. Availability is 2 providers versus 10, so concentration risk also matters.
Choose GLM-5V-Turbo when reasoning depth are central to the workload. Choose Kimi K2.5 when coding workflow support, larger context windows, 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-5V-Turbo or Kimi K2.5?
Kimi K2.5 supports 256k 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is cheaper, GLM-5V-Turbo or Kimi K2.5?
Kimi K2.5 is cheaper on tracked token pricing. GLM-5V-Turbo costs $1.20/1M input and $4/1M output tokens. Kimi K2.5 costs $0.44/1M input and $2/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GLM-5V-Turbo or Kimi K2.5 open source?
GLM-5V-Turbo is listed under MIT. Kimi K2.5 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 K2.5?
Both GLM-5V-Turbo and Kimi K2.5 expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. 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 K2.5?
Both GLM-5V-Turbo and Kimi K2.5 expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run GLM-5V-Turbo and Kimi K2.5?
GLM-5V-Turbo is available on OpenRouter and Vercel AI Gateway. Kimi K2.5 is available on Cloudflare Workers AI, Fireworks AI, OpenRouter, Together AI, and NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-06-04. Data sourced from public model cards and provider documentation.