GPT-5.3-Codex-Spark vs Xiaomi MiMo-V2.5-Pro
GPT-5.3-Codex-Spark (2026) and Xiaomi MiMo-V2.5-Pro (2026) are agentic coding models from OpenAI and Xiaomi. GPT-5.3-Codex-Spark ships a 131k-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1.05m-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Xiaomi MiMo-V2.5-Pro fits 8x more tokens; pick it for long-context work and GPT-5.3-Codex-Spark for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-5.3-Codex-Spark | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Best for | custom coding agents, code generation, and tool loops | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 131k | 1.05m |
| Cheapest output | - | $0.87/1M tokens |
| Provider routes | 1 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- GPT-5.3-Codex-Spark uniquely exposes Code execution in local model data.
- Local decision data tags GPT-5.3-Codex-Spark for Coding, RAG, and Agents.
- 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.
- 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 route or tier on this page.
GPT-5.3-Codex-Spark
Unavailable
No complete token price in local provider data
Xiaomi MiMo-V2.5-Pro
$566
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for GPT-5.3-Codex-Spark and Xiaomi MiMo-V2.5-Pro; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Code execution before moving production traffic.
- No overlapping tracked provider route is sourced for Xiaomi MiMo-V2.5-Pro and GPT-5.3-Codex-Spark; plan for SDK, billing, or endpoint changes.
- GPT-5.3-Codex-Spark adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-02-12 | 2026-04-22 |
| Context window | 131k | 1.05m |
| Parameters | — | 1T |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | Proprietary |
| Openness | Proprietary | Proprietary |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | GPT-5.3-Codex-Spark | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Input price | - | $0.43/1M tokens |
| Output price | - | $0.87/1M tokens |
| Providers |
Capabilities
| Capability | GPT-5.3-Codex-Spark | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on code execution: GPT-5.3-Codex-Spark. 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.
Pricing coverage is uneven: GPT-5.3-Codex-Spark has no token price sourced yet and Xiaomi MiMo-V2.5-Pro has $0.43/1M input tokens. Provider availability is 1 tracked routes versus 3. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose GPT-5.3-Codex-Spark when coding workflow support are central to the workload. Choose Xiaomi MiMo-V2.5-Pro when coding workflow support, larger context windows, and broader provider choice 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, GPT-5.3-Codex-Spark or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1.05m tokens, while GPT-5.3-Codex-Spark supports 131k 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 GPT-5.3-Codex-Spark or Xiaomi MiMo-V2.5-Pro open source?
GPT-5.3-Codex-Spark 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, GPT-5.3-Codex-Spark or Xiaomi MiMo-V2.5-Pro?
Both GPT-5.3-Codex-Spark 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, GPT-5.3-Codex-Spark or Xiaomi MiMo-V2.5-Pro?
Both GPT-5.3-Codex-Spark 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.
Which is better for structured outputs, GPT-5.3-Codex-Spark or Xiaomi MiMo-V2.5-Pro?
Both GPT-5.3-Codex-Spark 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 GPT-5.3-Codex-Spark and Xiaomi MiMo-V2.5-Pro?
GPT-5.3-Codex-Spark is available on OpenAI API. Xiaomi MiMo-V2.5-Pro is available on OpenRouter, Xiaomi, and Novita AI. 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: 2026-06-04. Data sourced from public model cards and provider documentation.