GLM-5 vs Xiaomi MiMo-V2.5-Pro
GLM-5 (2026) and Xiaomi MiMo-V2.5-Pro (2026) are agentic coding models from Zhipu AI and Xiaomi. GLM-5 ships a 200k-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1M-token context window. On pricing, GLM-5 costs $0.72/1M input tokens versus $1/1M for the alternative. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.
Xiaomi MiMo-V2.5-Pro fits 5x more tokens; pick it for long-context work and GLM-5 for tighter calls.
Specs
| Released | 2026-02-11 | 2026-04-22 |
| Context window | 200k | 1M |
| Parameters | 744B total, 40B active | 1T |
| Architecture | mixture of experts | mixture of experts |
| License | MIT | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| GLM-5 | Xiaomi MiMo-V2.5-Pro | |
|---|---|---|
| Input price | $0.72/1M tokens | $1/1M tokens |
| Output price | $2.3/1M tokens | $3/1M tokens |
| Providers |
Capabilities
| GLM-5 | Xiaomi MiMo-V2.5-Pro | |
|---|---|---|
| Vision | ||
| Multimodal | ||
| Reasoning | ||
| Function calling | ||
| Tool use | ||
| Structured outputs | ||
| Code execution |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: GLM-5. Both models share 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 lists $0.72/1M input and $2.3/1M output tokens, while Xiaomi MiMo-V2.5-Pro lists $1/1M input and $3/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GLM-5 lower by about $0.41 per million blended tokens. Availability is 5 providers versus 1, so concentration risk also matters.
Choose GLM-5 when reasoning depth, lower input-token cost, and broader provider choice are central to the workload. Choose Xiaomi MiMo-V2.5-Pro when coding workflow support 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, GLM-5 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1M tokens, while GLM-5 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-5 or Xiaomi MiMo-V2.5-Pro?
GLM-5 is cheaper on tracked token pricing. GLM-5 costs $0.72/1M input and $2.3/1M output tokens. Xiaomi MiMo-V2.5-Pro costs $1/1M input and $3/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is GLM-5 or Xiaomi MiMo-V2.5-Pro open source?
GLM-5 is listed under MIT. Xiaomi MiMo-V2.5-Pro 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 reasoning mode, GLM-5 or Xiaomi MiMo-V2.5-Pro?
GLM-5 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.
Which is better for function calling, GLM-5 or Xiaomi MiMo-V2.5-Pro?
Both GLM-5 and Xiaomi MiMo-V2.5-Pro expose function calling. 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-5 and Xiaomi MiMo-V2.5-Pro?
GLM-5 is available on Fireworks AI, OpenRouter, Together AI, GCP Vertex AI, and NVIDIA NIM. Xiaomi MiMo-V2.5-Pro is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-04-24. Data sourced from public model cards and provider documentation.