Kimi K2.6 vs Xiaomi MiMo-V2.5-Pro
Kimi K2.6 (2026) and Xiaomi MiMo-V2.5-Pro (2026) are agentic coding models from Moonshot AI and Xiaomi. Kimi K2.6 ships a 262k-token context window, while Xiaomi MiMo-V2.5-Pro ships a 1.05m-token context window. On MMLU PRO, Kimi K2.6 leads by 16.1 pts. On pricing, Xiaomi MiMo-V2.5-Pro costs $0.43/1M input tokens versus $0.73/1M 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.
Xiaomi MiMo-V2.5-Pro is ~68% cheaper at $0.43/1M; pay for Kimi K2.6 only for coding workflow support.
Decision scorecard
Local evidence first| Signal | Kimi K2.6 | 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 | 262k | 1.05m |
| Cheapest output | $3.49/1M tokens | $0.87/1M tokens |
| Provider routes | 8 tracked | 3 tracked |
| Shared benchmarks | MMLU PRO leader | 5 rows |
Decision tradeoffs
- Kimi K2.6 holds a shared-benchmark lead on MMLU PRO, ahead by 16.1 points.
- Kimi K2.6 has broader tracked provider coverage for fallback and procurement flexibility.
- Kimi K2.6 uniquely exposes Vision, Multimodal, and Reasoning in local model data.
- Local decision data tags Kimi K2.6 for Coding, RAG, and Agents.
- Xiaomi MiMo-V2.5-Pro holds a shared-benchmark lead on Terminal-Bench 2.0, ahead by 1.7 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.
- 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.
Kimi K2.6
$1,457
Cheapest tracked route/tier: OpenRouter
Xiaomi MiMo-V2.5-Pro
$566
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $891. 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 $2.62/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Vision, Multimodal, and Reasoning before moving production traffic.
- Provider overlap exists on OpenRouter and Novita AI; start route-level A/B tests there.
- Kimi K2.6 is $2.62/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Kimi K2.6 adds Vision, Multimodal, and Reasoning in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2026-04-20 | 2026-04-22 |
| Context window | 262k | 1.05m |
| Parameters | 1T | 1T |
| Architecture | Mixture of Experts (MoE) | mixture of experts |
| License | MIT(OSI) | Proprietary |
| Openness | Open source | Proprietary |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | 2025-04 | - |
Pricing and availability
| Pricing attribute | Kimi K2.6 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Input price | $0.73/1M tokens | $0.43/1M tokens |
| Output price | $3.49/1M tokens | $0.87/1M tokens |
| Providers |
Capabilities
| Capability | Kimi K2.6 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| Vision | Yes | No |
| Multimodal | Yes | 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 | Kimi K2.6 | Xiaomi MiMo-V2.5-Pro |
|---|---|---|
| MMLU PRO | 84.6 | 68.5 |
| SWE-bench Verified | 80.2 | 78.9 |
| SWE-bench Pro | 58.6 | 57.2 |
| Google-Proof Q&A | 90.5 | 66.7 |
| Terminal-Bench 2.0 | 66.7 | 68.4 |
Deep dive
On shared benchmark coverage, MMLU PRO has Kimi K2.6 at 84.6 and Xiaomi MiMo-V2.5-Pro at 68.5, with Kimi K2.6 ahead by 16.1 points; SWE-bench Verified has Kimi K2.6 at 80.2 and Xiaomi MiMo-V2.5-Pro at 78.9, with Kimi K2.6 ahead by 1.3 points; SWE-bench Pro has Kimi K2.6 at 58.6 and Xiaomi MiMo-V2.5-Pro at 57.2, with Kimi K2.6 ahead by 1.4 points. The largest visible gap is 16.1 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: Kimi K2.6, multimodal input: Kimi K2.6, and reasoning mode: Kimi K2.6. 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, Kimi K2.6 lists $0.73/1M input and $3.49/1M 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 $0.99 per million blended tokens. Availability is 8 providers versus 3, so concentration risk also matters.
Choose Kimi K2.6 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, Kimi K2.6 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro supports 1.05m tokens, while Kimi K2.6 supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Kimi K2.6 or Xiaomi MiMo-V2.5-Pro?
Xiaomi MiMo-V2.5-Pro is cheaper on tracked token pricing. Kimi K2.6 costs $0.73/1M input and $3.49/1M 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 Kimi K2.6 or Xiaomi MiMo-V2.5-Pro open source?
Kimi K2.6 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 vision, Kimi K2.6 or Xiaomi MiMo-V2.5-Pro?
Kimi K2.6 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, Kimi K2.6 or Xiaomi MiMo-V2.5-Pro?
Kimi K2.6 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 Kimi K2.6 and Xiaomi MiMo-V2.5-Pro?
Kimi K2.6 is available on Cloudflare Workers AI, NVIDIA NIM, Moonshot AI Kimi, Fireworks 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.