DeepSeek V4 Pro vs Xiaomi MiMo-V2.5-Pro
DeepSeek V4 Pro (2026) and Xiaomi MiMo-V2.5-Pro (2026) compare a standalone API model against a coding-specialized model. DeepSeek V4 Pro ships a 1m-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1.05m-token context window. On MMLU PRO, DeepSeek V4 Pro leads by 19 pts. On pricing, both list $0.43/1M input and $0.87/1M output tokens on the cheapest tracked route. This page treats the result as workflow and deployment fit, not a universal model winner.
Treat this as a product-type comparison: DeepSeek V4 Pro 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 V4 Pro | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | reasoning-heavy apps, tool-calling agents, and long-context analysis | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, RAG, and Agents | Coding, RAG, and Agents |
| Context window | 1m | 1.05m |
| Cheapest output | $0.87/1M tokens | $0.87/1M tokens |
| Provider routes | 5 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 6 rows |
Decision tradeoffs
- DeepSeek V4 Pro holds a shared-benchmark lead on MMLU PRO, ahead by 19 points.
- DeepSeek V4 Pro has broader tracked provider coverage for fallback and procurement flexibility.
- DeepSeek V4 Pro uniquely exposes Reasoning in local model data.
- Local decision data tags DeepSeek V4 Pro for Coding, RAG, and Agents.
- Xiaomi MiMo-V2.5-Pro holds a shared-benchmark lead on SWE-bench Pro, ahead by 1.8 points.
- 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 route or tier on this page.
DeepSeek V4 Pro
$566
Cheapest tracked route/tier: DeepSeek Platform
Xiaomi MiMo-V2.5-Pro
$566
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $0.00. 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.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- Check replacement coverage for Reasoning before moving production traffic.
- Provider overlap exists on OpenRouter and Novita AI; start route-level A/B tests there.
- Cheapest tracked output pricing is tied, so migration risk shifts to quality, latency, and provider packaging.
- DeepSeek V4 Pro adds Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-24 | 2026-04-22 |
| Context window | 1m | 1.05m |
| Parameters | 1.6T | 1T |
| Architecture | Mixture of Experts (MoE) with CSA+HCA hybrid attention | 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 V4 Pro | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Input price | $0.43/1M tokens | $0.43/1M tokens |
| Output price | $0.87/1M tokens | $0.87/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V4 Pro | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | Yes | No |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V4 Pro | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| MMLU PRO | 87.5 | 68.5 |
| SWE-bench Verified | 80.6 | 78.9 |
| SWE-bench Pro | 55.4 | 57.2 |
| Google-Proof Q&A | 90.1 | 66.7 |
| Massive Multitask Language Understanding | 90.1 | 89.4 |
| Terminal-Bench 2.0 | 67.9 | 68.4 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek V4 Pro at 87.5 and Xiaomi MiMo-V2.5-Pro at 68.5, with DeepSeek V4 Pro ahead by 19 points; SWE-bench Verified has DeepSeek V4 Pro at 80.6 and Xiaomi MiMo-V2.5-Pro at 78.9, with DeepSeek V4 Pro ahead by 1.7 points; SWE-bench Pro has DeepSeek V4 Pro at 55.4 and Xiaomi MiMo-V2.5-Pro at 57.2, with Xiaomi MiMo-V2.5-Pro ahead by 1.8 points. The largest visible gap is 19 points on MMLU PRO, 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 V4 Pro. 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, DeepSeek V4 Pro lists $0.43/1M input and $0.87/1M 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 is tied on the cheapest tracked routes. Availability is 5 providers versus 3, so concentration risk also matters.
Choose DeepSeek V4 Pro when reasoning depth and broader provider choice 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.
FAQ
Which has a larger context window, DeepSeek V4 Pro or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1.05m tokens, while DeepSeek V4 Pro supports 1m 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 V4 Pro or Xiaomi MiMo-V2.5-Pro?
Neither is cheaper on tracked token pricing. Both list $0.43/1M input and $0.87/1M output tokens on the cheapest tracked route. Provider discounts, batch pricing, or route-specific tiers can still change the final bill.
Is DeepSeek V4 Pro or Xiaomi MiMo-V2.5-Pro open source?
DeepSeek V4 Pro 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 V4 Pro or Xiaomi MiMo-V2.5-Pro?
DeepSeek V4 Pro 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 V4 Pro or Xiaomi MiMo-V2.5-Pro?
Both DeepSeek V4 Pro 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.
Where can I run DeepSeek V4 Pro and Xiaomi MiMo-V2.5-Pro?
DeepSeek V4 Pro is available on DeepSeek Platform, Fireworks AI, OpenRouter, Vercel AI Gateway, and Novita AI. 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: 2026-05-31. Data sourced from public model cards and provider documentation.