DeepSeek R1 0528 vs Xiaomi MiMo-V2.5-Pro
DeepSeek R1 0528 (2025) and Xiaomi MiMo-V2.5-Pro (2026) compare a standalone API model against a coding-specialized model. DeepSeek R1 0528 ships a 130k-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1.05m-token context window. On MMLU PRO, DeepSeek R1 0528 leads by 16.5 pts. On pricing, Xiaomi MiMo-V2.5-Pro costs $0.43/1M input tokens versus $0.50/1M for the alternative. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: DeepSeek R1 0528 is standalone API model, while Xiaomi MiMo-V2.5-Pro is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.
Decision scorecard
Local evidence first| Signal | DeepSeek R1 0528 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps and provider-routed production | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 130k | 1.05m |
| Cheapest output | $2.15/1M tokens | $0.87/1M tokens |
| Provider routes | 6 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 3 rows |
Decision tradeoffs
- DeepSeek R1 0528 holds a shared-benchmark lead on MMLU PRO, ahead by 16.5 points.
- DeepSeek R1 0528 has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek R1 0528 uniquely exposes Reasoning and Code execution in local model data.
- Local decision data tags DeepSeek R1 0528 for Coding, RAG, and Agents.
- Xiaomi MiMo-V2.5-Pro holds a shared-benchmark lead on SWE-bench Verified, ahead by 21.3 points.
- 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 $0.87/1M tokens.
- 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 route or tier on this page.
DeepSeek R1 0528
$938
Cheapest tracked route/tier: OpenRouter
Xiaomi MiMo-V2.5-Pro
$566
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $372. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on OpenRouter and Novita AI; start route-level A/B tests there.
- Xiaomi MiMo-V2.5-Pro is $1.28/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Reasoning and Code execution before moving production traffic.
- Xiaomi MiMo-V2.5-Pro adds Function calling and Tool use in local capability data.
- Provider overlap exists on Novita AI and OpenRouter; start route-level A/B tests there.
- DeepSeek R1 0528 is $1.28/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Function calling and Tool use before moving production traffic.
- DeepSeek R1 0528 adds Reasoning and Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-05-28 | 2026-04-22 |
| Context window | 130k | 1.05m |
| Parameters | 685B total, 37B active (MoE) | 1T |
| Architecture | decoder only | mixture of experts |
| License | MIT(OSI) | Proprietary |
| Openness | Open source | Proprietary |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | DeepSeek R1 0528 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Input price | $0.50/1M tokens | $0.43/1M tokens |
| Output price | $2.15/1M tokens | $0.87/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek R1 0528 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| Function calling | No | Yes |
| Tool use | No | Yes |
| Structured outputs | Yes | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek R1 0528 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| MMLU PRO | 85.0 | 68.5 |
| SWE-bench Verified | 57.6 | 78.9 |
| Google-Proof Q&A | 81.0 | 66.7 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek R1 0528 at 85 and Xiaomi MiMo-V2.5-Pro at 68.5, with DeepSeek R1 0528 ahead by 16.5 points; SWE-bench Verified has DeepSeek R1 0528 at 57.6 and Xiaomi MiMo-V2.5-Pro at 78.9, with Xiaomi MiMo-V2.5-Pro ahead by 21.3 points; Google-Proof Q&A has DeepSeek R1 0528 at 81 and Xiaomi MiMo-V2.5-Pro at 66.7, with DeepSeek R1 0528 ahead by 14.3 points. The largest visible gap is 21.3 points on SWE-bench Verified, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.
The capability footprint differs most on reasoning mode: DeepSeek R1 0528, function calling: Xiaomi MiMo-V2.5-Pro, tool use: Xiaomi MiMo-V2.5-Pro, and code execution: DeepSeek R1 0528. 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, DeepSeek R1 0528 lists $0.50/1M input and $2.15/1M output tokens on the cheapest tracked provider, while Xiaomi MiMo-V2.5-Pro lists $0.43/1M input and $0.87/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Xiaomi MiMo-V2.5-Pro lower by about $0.43 per million blended tokens. Availability is 6 providers versus 3, so concentration risk also matters.
Choose DeepSeek R1 0528 when coding workflow support and broader provider choice 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.
FAQ
Which has a larger context window, DeepSeek R1 0528 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1.05m tokens, while DeepSeek R1 0528 supports 130k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, DeepSeek R1 0528 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro is cheaper on tracked token pricing. DeepSeek R1 0528 costs $0.50/1M input and $2.15/1M output tokens. Xiaomi MiMo-V2.5-Pro costs $0.43/1M input and $0.87/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek R1 0528 or Xiaomi MiMo-V2.5-Pro open source?
DeepSeek R1 0528 is listed under MIT. 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 reasoning mode, DeepSeek R1 0528 or Xiaomi MiMo-V2.5-Pro?
DeepSeek R1 0528 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for function calling, DeepSeek R1 0528 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.
Where can I run DeepSeek R1 0528 and Xiaomi MiMo-V2.5-Pro?
DeepSeek R1 0528 is available on Together AI, Fireworks AI, GCP Vertex AI, Novita AI, and OpenRouter. 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.
Continue comparing
Last reviewed: 2026-05-26. Data sourced from public model cards and provider documentation.