GPT-4o Audio vs Xiaomi MiMo-V2.5-Pro
GPT-4o Audio (2024) and Xiaomi MiMo-V2.5-Pro (2026) are agentic coding models from OpenAI and Xiaomi. GPT-4o Audio ships a 128K-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1M-token context window. On pricing, Xiaomi MiMo-V2.5-Pro costs $1/1M input tokens versus $2.5/1M 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 is ~150% cheaper at $1/1M; pay for GPT-4o Audio only for provider fit.
Decision scorecard
Local evidence first| Signal | GPT-4o Audio | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Decision fit | Long context | Coding, RAG, and Agents |
| Context window | 128K | 1M |
| Cheapest output | $10/1M tokens | $3/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Local decision data tags GPT-4o Audio for Long context.
- Xiaomi MiMo-V2.5-Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Xiaomi MiMo-V2.5-Pro has the lower cheapest tracked output price at $3/1M tokens.
- 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.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output prices on this page.
GPT-4o Audio
$4,500
Cheapest tracked route: OpenRouter
Xiaomi MiMo-V2.5-Pro
$1,550
Cheapest tracked route: OpenRouter
Estimated monthly gap: $2,950. Batch, cache, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- Xiaomi MiMo-V2.5-Pro is $7/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Xiaomi MiMo-V2.5-Pro adds Function calling, Tool use, and Structured outputs in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- GPT-4o Audio is $7/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling, Tool use, and Structured outputs before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-10-01 | 2026-04-22 |
| Context window | 128K | 1M |
| Parameters | — | 1T |
| Architecture | decoder only | mixture of experts |
| License | Unknown | Proprietary |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | GPT-4o Audio | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Input price | $2.5/1M tokens | $1/1M tokens |
| Output price | $10/1M tokens | $3/1M tokens |
| Providers |
Capabilities
| Capability | GPT-4o Audio | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | No | Yes |
| Code execution | No | No |
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.
For cost, GPT-4o Audio lists $2.5/1M input and $10/1M 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 Xiaomi MiMo-V2.5-Pro lower by about $3.15 per million blended tokens. Availability is 1 providers versus 1, so concentration risk also matters.
Choose GPT-4o Audio when provider fit are central to the workload. Choose Xiaomi MiMo-V2.5-Pro 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, GPT-4o Audio or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1M tokens, while GPT-4o Audio supports 128K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, GPT-4o Audio or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro is cheaper on tracked token pricing. GPT-4o Audio costs $2.5/1M input and $10/1M 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 GPT-4o Audio or Xiaomi MiMo-V2.5-Pro open source?
GPT-4o Audio is listed under Unknown. 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, GPT-4o Audio 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, GPT-4o Audio 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.
Where can I run GPT-4o Audio and Xiaomi MiMo-V2.5-Pro?
GPT-4o Audio 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.