LFM2.5-2.6B Open vs XIMiMo-V2.6-Pro-UltraSpeed Paid
LFM2.5-2.6B vs MiMo-V2.6-Pro-UltraSpeed compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
MiMo-V2.6-Pro-UltraSpeed — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$0.5 /M outputNo per-token fees if you self-host
$8.7 /M outputManaged API (no infra to run)
LFM2.5-2.6B vs MiMo-V2.6-Pro-UltraSpeed specs
| Spec | LFM2.5-2.6B | MiMo-V2.6-Pro-UltraSpeed | Winner |
|---|---|---|---|
| Maker | Liquid | Xiaomi | – |
| Type | Open-weight | Proprietary | |
| Context window | 128K tokens | 1M tokens | XIMiMo-V2.6-Pro-UltraSpeed |
| Input price | $0.35/M · free self-host | $4.35/M | |
| Output price | $0.5/M · free self-host | $8.7/M | |
| Vision / multimodal | No | Yes | XIMiMo-V2.6-Pro-UltraSpeed |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | |
| License | Open weights | Proprietary |
Price gap & when to choose each
LFM2.5-2.6B is ~17× cheaper than MiMo-V2.6-Pro-UltraSpeed on output tokens ($0.5 vs $8.7 per M tokens).
- You want to self-host or run on your cloud
- You prioritize data privacy & control
- You want the lowest operating costs
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You need the longer 1M context window
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | LFM2.5-2.6B | MiMo-V2.6-Pro-UltraSpeed |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✓ |
Benchmarks: LFM2.5-2.6B vs MiMo-V2.6-Pro-UltraSpeed
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How LFM2.5-2.6B and MiMo-V2.6-Pro-UltraSpeed score
| Criterion | LFM2.5-2.6B | MiMo-V2.6-Pro-UltraSpeed |
|---|---|---|
| Cost-efficiency | 5.0 | 3.5 |
| Context window | 3.5 | 5.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 5.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
LFM2.5-2.6B Open
LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...
MiMo-V2.6-Pro-UltraSpeed Paid
MiMo-V2.6-Pro-UltraSpeed is the fast speed edition of Xiaomi's flagship foundation model, MiMo-V2.6-Pro. Built from the same 1T MiMo-V2.6-Pro checkpoint, it matches the original model in quality while delivering roughly 10x...
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
Is LFM2.5-2.6B as good as MiMo-V2.6-Pro-UltraSpeed?
LFM2.5-2.6B is open-weight and competitive on many tasks, but MiMo-V2.6-Pro-UltraSpeed may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Can I run LFM2.5-2.6B locally?
Yes. LFM2.5-2.6B has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. MiMo-V2.6-Pro-UltraSpeed is API-only and cannot be self-hosted.
How much cheaper is LFM2.5-2.6B?
LFM2.5-2.6B costs $0.5/M output vs $8.7/M for MiMo-V2.6-Pro-UltraSpeed — roughly 17x cheaper via API, and free if you self-host.
LFM2.5-2.6B vs MiMo-V2.6-Pro-UltraSpeed — which should I pick in 2026?
Choose LFM2.5-2.6B if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose MiMo-V2.6-Pro-UltraSpeed if you want frontier capability through a managed API with zero infrastructure to run.
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