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GLM 4.7 vs Xiaomi MiMo-V2.5-Pro

GLM 4.7 (2026) and Xiaomi MiMo-V2.5-Pro (2026) are agentic coding models from Tsinghua Knowledge Engineering Group (THUDM) and Xiaomi. GLM 4.7 ships a 200K-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1M-token context window. On pricing, GLM 4.7 costs $0.6/1M 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 4.7 is ~67% cheaper at $0.6/1M; pay for Xiaomi MiMo-V2.5-Pro only for coding workflow support.

Decision scorecard

Local evidence first
SignalGLM 4.7Xiaomi MiMo-V2.5-Pro
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window200K1M
Cheapest output$2.2/1M tokens$3/1M tokens
Provider routes1 tracked1 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose GLM 4.7 when...
  • GLM 4.7 has the lower cheapest tracked output price at $2.2/1M tokens.
  • GLM 4.7 uniquely exposes Code execution in local model data.
  • Local decision data tags GLM 4.7 for Coding, RAG, and Agents.
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.
  • 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 4.7

GLM 4.7

$1,030

Cheapest tracked route: Fireworks AI

Xiaomi MiMo-V2.5-Pro

$1,550

Cheapest tracked route: OpenRouter

Estimated monthly gap: $520. Batch, cache, and negotiated pricing are excluded from this local estimate.

Switch friction

GLM 4.7 -> Xiaomi MiMo-V2.5-Pro
  • No overlapping tracked provider route is sourced for GLM 4.7 and Xiaomi MiMo-V2.5-Pro; plan for SDK, billing, or endpoint changes.
  • Xiaomi MiMo-V2.5-Pro is $0.8/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Check replacement coverage for Code execution before moving production traffic.
Xiaomi MiMo-V2.5-Pro -> GLM 4.7
  • No overlapping tracked provider route is sourced for Xiaomi MiMo-V2.5-Pro and GLM 4.7; plan for SDK, billing, or endpoint changes.
  • GLM 4.7 is $0.8/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • GLM 4.7 adds Code execution in local capability data.

Specs

Specification
Released2026-03-012026-04-22
Context window200K1M
Parameters1T
Architecturedecoder onlymixture of experts
LicenseProprietaryProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeGLM 4.7Xiaomi MiMo-V2.5-Pro
Input price$0.6/1M tokens$1/1M tokens
Output price$2.2/1M tokens$3/1M tokens
Providers

Capabilities

CapabilityGLM 4.7Xiaomi MiMo-V2.5-Pro
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionYesNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on code execution: GLM 4.7. 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 4.7 lists $0.6/1M input and $2.2/1M 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 4.7 lower by about $0.52 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.

Choose GLM 4.7 when coding workflow support and lower input-token cost 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 4.7 or Xiaomi MiMo-V2.5-Pro?

Xiaomi MiMo-V2.5-Pro supports 1M tokens, while GLM 4.7 supports 200K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Which is cheaper, GLM 4.7 or Xiaomi MiMo-V2.5-Pro?

GLM 4.7 is cheaper on tracked token pricing. GLM 4.7 costs $0.6/1M input and $2.2/1M 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 4.7 or Xiaomi MiMo-V2.5-Pro open source?

GLM 4.7 is listed under Proprietary. 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 4.7 or Xiaomi MiMo-V2.5-Pro?

Both GLM 4.7 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.

Which is better for tool use, GLM 4.7 or Xiaomi MiMo-V2.5-Pro?

Both GLM 4.7 and Xiaomi MiMo-V2.5-Pro expose tool use. 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 4.7 and Xiaomi MiMo-V2.5-Pro?

GLM 4.7 is available on Fireworks AI. 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.