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GLM-4 32B vs Xiaomi MiMo-V2.5-Pro

GLM-4 32B (2025) and Xiaomi MiMo-V2.5-Pro (2026) are agentic coding models from Tsinghua Knowledge Engineering Group (THUDM) and Xiaomi. GLM-4 32B ships a not-yet-sourced context window, while Xiaomi MiMo-V2.5-Pro ships a 1M-token context window. On pricing, GLM-4 32B costs $0.1/1M 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.

GLM-4 32B is ~900% cheaper at $0.1/1M; pay for Xiaomi MiMo-V2.5-Pro only for coding workflow support.

Decision scorecard

Local evidence first
SignalGLM-4 32BXiaomi MiMo-V2.5-Pro
Decision fitClassification and JSON / Tool useCoding, RAG, and Agents
Context window1M
Cheapest output$0.1/1M tokens$3/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GLM-4 32B when...
  • GLM-4 32B has the lower cheapest tracked output price at $0.1/1M tokens.
  • Local decision data tags GLM-4 32B for Classification and JSON / Tool use.
Choose Xiaomi MiMo-V2.5-Pro when...
  • Xiaomi MiMo-V2.5-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Xiaomi MiMo-V2.5-Pro uniquely exposes Function calling and Tool use in local model data.
  • Local decision data tags Xiaomi MiMo-V2.5-Pro for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output prices on this page.

Lower estimate GLM-4 32B

GLM-4 32B

$105

Cheapest tracked route: OpenRouter

Xiaomi MiMo-V2.5-Pro

$1,550

Cheapest tracked route: OpenRouter

Estimated monthly gap: $1,445. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

GLM-4 32B -> Xiaomi MiMo-V2.5-Pro
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • Xiaomi MiMo-V2.5-Pro is $2.9/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Xiaomi MiMo-V2.5-Pro adds Function calling and Tool use in local capability data.
Xiaomi MiMo-V2.5-Pro -> GLM-4 32B
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • GLM-4 32B is $2.9/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Function calling and Tool use before moving production traffic.

Specs

Specification
Released2025-03-052026-04-22
Context window1M
Parameters32B1T
Architecture-mixture of experts
LicenseApache 2.0Proprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeGLM-4 32BXiaomi MiMo-V2.5-Pro
Input price$0.1/1M tokens$1/1M tokens
Output price$0.1/1M tokens$3/1M tokens
Providers

Capabilities

CapabilityGLM-4 32BXiaomi MiMo-V2.5-Pro
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingNoYes
Tool useNoYes
Structured outputsYesYes
Code executionNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on function calling: Xiaomi MiMo-V2.5-Pro and tool use: Xiaomi MiMo-V2.5-Pro. Both models share 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-4 32B lists $0.1/1M input and $0.1/1M 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-4 32B lower by about $1.5 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose GLM-4 32B when provider fit and lower input-token cost are central to the workload. Choose Xiaomi MiMo-V2.5-Pro when coding workflow support 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 is cheaper, GLM-4 32B or Xiaomi MiMo-V2.5-Pro?

GLM-4 32B is cheaper on tracked token pricing. GLM-4 32B costs $0.1/1M input and $0.1/1M 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-4 32B or Xiaomi MiMo-V2.5-Pro open source?

GLM-4 32B is listed under Apache 2.0. 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 function calling, GLM-4 32B or Xiaomi MiMo-V2.5-Pro?

Xiaomi MiMo-V2.5-Pro has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for tool use, GLM-4 32B or Xiaomi MiMo-V2.5-Pro?

Xiaomi MiMo-V2.5-Pro has the clearer documented tool use signal in this comparison. If tool use is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for structured outputs, GLM-4 32B or Xiaomi MiMo-V2.5-Pro?

Both GLM-4 32B and Xiaomi MiMo-V2.5-Pro expose structured outputs. 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-4 32B and Xiaomi MiMo-V2.5-Pro?

GLM-4 32B is available on OpenRouter. Xiaomi MiMo-V2.5-Pro is available on OpenRouter. 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: 2026-05-11. Data sourced from public model cards and provider documentation.