DeepSeek V3 vs Xiaomi MiMo-V2.5-Pro
DeepSeek V3 (2024) and Xiaomi MiMo-V2.5-Pro (2026) compare a standalone API model against a coding-specialized model. DeepSeek V3 ships a 64k-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1.05m-token context window. On MMLU PRO, DeepSeek V3 leads by 7.4 pts. On pricing, DeepSeek V3 costs $0.10/1M input tokens versus $0.43/1M 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 V3 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 V3 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Product type | Standalone API model | Coding-specialized model |
| Best for | tool-calling agents and provider-routed production | custom coding agents, code generation, and tool loops |
| Decision fit | Coding, Agents, and Classification | Coding, RAG, and Agents |
| Context window | 64k | 1.05m |
| Cheapest output | $0.30/1M tokens | $0.87/1M tokens |
| Provider routes | 13 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 2 rows |
Decision tradeoffs
- DeepSeek V3 holds a shared-benchmark lead on MMLU PRO, ahead by 7.4 points.
- DeepSeek V3 has the lower cheapest tracked output price at $0.30/1M tokens.
- DeepSeek V3 has broader tracked provider coverage for fallback and procurement flexibility.
- Local decision data tags DeepSeek V3 for Coding, Agents, and Classification.
- Xiaomi MiMo-V2.5-Pro holds a shared-benchmark lead on Massive Multitask Language Understanding, ahead by 0.9 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 V3
$155
Cheapest tracked route/tier: Bitdeer AI
Xiaomi MiMo-V2.5-Pro
$566
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $411. Batch, cache, alternate speed tiers, 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 $0.57/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- DeepSeek V3 is $0.57/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2026-04-22 |
| Context window | 64k | 1.05m |
| Parameters | 671B | 1T |
| Architecture | mixture of experts | mixture of experts |
| License | MIT(OSI) | Proprietary |
| Openness | Open source | Proprietary |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | 2024-04 | - |
Pricing and availability
| Pricing attribute | DeepSeek V3 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Input price | $0.10/1M tokens | $0.43/1M tokens |
| Output price | $0.30/1M tokens | $0.87/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3 | 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 | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
| Benchmark | DeepSeek V3 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| MMLU PRO | 75.9 | 68.5 |
| Massive Multitask Language Understanding | 88.5 | 89.4 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek V3 at 75.9 and Xiaomi MiMo-V2.5-Pro at 68.5, with DeepSeek V3 ahead by 7.4 points; Massive Multitask Language Understanding has DeepSeek V3 at 88.5 and Xiaomi MiMo-V2.5-Pro at 89.4, with Xiaomi MiMo-V2.5-Pro ahead by 0.9 points. The largest visible gap is 7.4 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 is close: both models cover function calling, tool use, and structured outputs. That makes context budget, benchmark fit, and provider maturity more important than a simple checklist. If your application depends on one integration detail, verify it against the provider route you plan to use, not just the base model listing.
For cost, DeepSeek V3 lists $0.10/1M input and $0.30/1M 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 DeepSeek V3 lower by about $0.41 per million blended tokens. Availability is 13 providers versus 3, so concentration risk also matters.
Choose DeepSeek V3 when provider fit, lower input-token cost, 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 V3 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1.05m tokens, while DeepSeek V3 supports 64k 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 V3 or Xiaomi MiMo-V2.5-Pro?
DeepSeek V3 is cheaper on tracked token pricing. DeepSeek V3 costs $0.10/1M input and $0.30/1M 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 V3 or Xiaomi MiMo-V2.5-Pro open source?
DeepSeek V3 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 function calling, DeepSeek V3 or Xiaomi MiMo-V2.5-Pro?
Both DeepSeek V3 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, DeepSeek V3 or Xiaomi MiMo-V2.5-Pro?
Both DeepSeek V3 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.
Where can I run DeepSeek V3 and Xiaomi MiMo-V2.5-Pro?
DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, 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.