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Xiaomi MiMo-V2.5-Pro vs text-davinci

Xiaomi MiMo-V2.5-Pro (2026) and text-davinci (2022) are agentic coding models from Xiaomi and OpenAI. Xiaomi MiMo-V2.5-Pro ships a 1M-token context window, while text-davinci ships a 4K-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.

Xiaomi MiMo-V2.5-Pro fits 262x more tokens; pick it for long-context work and text-davinci for tighter calls.

Decision scorecard

Local evidence first
SignalXiaomi MiMo-V2.5-Protext-davinci
Decision fitCoding, RAG, and AgentsGeneral
Context window1M4K
Cheapest output$3/1M tokens-
Provider routes1 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

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 has broader tracked provider coverage for fallback and procurement flexibility.
  • Xiaomi MiMo-V2.5-Pro uniquely exposes Function calling, Tool use, and Structured outputs in local model data.
  • Local decision data tags Xiaomi MiMo-V2.5-Pro for Coding, RAG, and Agents.
Choose text-davinci when...
  • Use text-davinci when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.

Monthly cost at traffic

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

Xiaomi MiMo-V2.5-Pro

$1,550

Cheapest tracked route: OpenRouter

text-davinci

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Xiaomi MiMo-V2.5-Pro -> text-davinci
  • No overlapping tracked provider route is sourced for Xiaomi MiMo-V2.5-Pro and text-davinci; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
text-davinci -> Xiaomi MiMo-V2.5-Pro
  • No overlapping tracked provider route is sourced for text-davinci and Xiaomi MiMo-V2.5-Pro; plan for SDK, billing, or endpoint changes.
  • Xiaomi MiMo-V2.5-Pro adds Function calling, Tool use, and Structured outputs in local capability data.

Specs

Specification
Released2026-04-222022-01-27
Context window1M4K
Parameters1T175B
Architecturemixture of expertsdecoder only
LicenseProprietaryUnknown
Knowledge cutoff-2021-06

Pricing and availability

Pricing attributeXiaomi MiMo-V2.5-Protext-davinci
Input price$1/1M tokens-
Output price$3/1M tokens-
Providers-

Capabilities

CapabilityXiaomi MiMo-V2.5-Protext-davinci
VisionNoNo
MultimodalNoNo
ReasoningNoNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
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, tool use: Xiaomi MiMo-V2.5-Pro, and structured outputs: Xiaomi MiMo-V2.5-Pro. 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: Xiaomi MiMo-V2.5-Pro has $1/1M input tokens and text-davinci 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 Xiaomi MiMo-V2.5-Pro when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose text-davinci when provider fit 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, Xiaomi MiMo-V2.5-Pro or text-davinci?

Xiaomi MiMo-V2.5-Pro supports 1M tokens, while text-davinci supports 4K 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.

Is Xiaomi MiMo-V2.5-Pro or text-davinci open source?

Xiaomi MiMo-V2.5-Pro is listed under Proprietary. text-davinci is listed under Unknown. 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, Xiaomi MiMo-V2.5-Pro or text-davinci?

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, Xiaomi MiMo-V2.5-Pro or text-davinci?

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, Xiaomi MiMo-V2.5-Pro or text-davinci?

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

Where can I run Xiaomi MiMo-V2.5-Pro and text-davinci?

Xiaomi MiMo-V2.5-Pro is available on OpenRouter. text-davinci is available on the tracked providers still being sourced. 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.