DeepSeek V3 vs Xiaomi MiMo-V2.5
DeepSeek V3 (2024) and Xiaomi MiMo-V2.5 (2026) are frontier reasoning models from DeepSeek and Xiaomi. DeepSeek V3 ships a 64k-token context window, while Xiaomi MiMo-V2.5 ships a 1.05m-token context window. On MMLU PRO, Xiaomi MiMo-V2.5 leads by 9.0 pts. On pricing, DeepSeek V3 costs $0.10/1M input tokens versus $0.14/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
DeepSeek V3 is ~40% cheaper at $0.10/1M; pay for Xiaomi MiMo-V2.5 only for reasoning depth.
Decision scorecard
Local evidence first| Signal | DeepSeek V3 | Xiaomi MiMo-V2.5 |
|---|---|---|
| Best for | tool-calling agents and provider-routed production | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, Agents, and Classification | RAG, Agents, and Long context |
| Context window | 64k | 1.05m |
| Cheapest output | $0.30/1M tokens | $0.28/1M tokens |
| Provider routes | 13 tracked | 2 tracked |
| Shared benchmarks | 1 rows | MMLU PRO leader |
Decision tradeoffs
- 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 holds a shared-benchmark lead on MMLU PRO, ahead by 9.0 points.
- Xiaomi MiMo-V2.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Xiaomi MiMo-V2.5 has the lower cheapest tracked output price at $0.28/1M tokens.
- Xiaomi MiMo-V2.5 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Xiaomi MiMo-V2.5 for RAG, Agents, and Long context.
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
$182
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $27.00. 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 is $0.02/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Xiaomi MiMo-V2.5 adds Vision, Multimodal, and Reasoning in local capability data.
- Provider overlap exists on OpenRouter; start route-level A/B tests there.
- DeepSeek V3 is $0.02/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-12-26 | 2026-04-22 |
| Context window | 64k | 1.05m |
| Parameters | 671B | — |
| Architecture | 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 |
|---|---|---|
| Input price | $0.10/1M tokens | $0.14/1M tokens |
| Output price | $0.30/1M tokens | $0.28/1M tokens |
| Providers |
Capabilities
| Capability | DeepSeek V3 | Xiaomi MiMo-V2.5 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | Yes |
| 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 |
|---|---|---|
| MMLU PRO | 75.9 | 84.9 |
Deep dive
On shared benchmark coverage, MMLU PRO has DeepSeek V3 at 75.9 and Xiaomi MiMo-V2.5 at 84.9, with Xiaomi MiMo-V2.5 ahead by 9.0 points. The largest visible gap is 9.0 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 vision: Xiaomi MiMo-V2.5, multimodal input: Xiaomi MiMo-V2.5, and reasoning mode: Xiaomi MiMo-V2.5. 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 V3 lists $0.10/1M input and $0.30/1M output tokens on the cheapest tracked provider, while Xiaomi MiMo-V2.5 lists $0.14/1M input and $0.28/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts DeepSeek V3 lower by about $0.02 per million blended tokens. Availability is 13 providers versus 2, 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 when reasoning depth 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?
Xiaomi MiMo-V2.5 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?
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 costs $0.14/1M input and $0.28/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is DeepSeek V3 or Xiaomi MiMo-V2.5 open source?
DeepSeek V3 is listed under MIT. Xiaomi MiMo-V2.5 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 vision, DeepSeek V3 or Xiaomi MiMo-V2.5?
Xiaomi MiMo-V2.5 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, DeepSeek V3 or Xiaomi MiMo-V2.5?
Xiaomi MiMo-V2.5 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run DeepSeek V3 and Xiaomi MiMo-V2.5?
DeepSeek V3 is available on DeepInfra, Fireworks AI, DeepSeek Platform, Microsoft Foundry, and OpenRouter. Xiaomi MiMo-V2.5 is available on OpenRouter and Xiaomi. 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.