Model Detail
MiMo-V2.5
▲ 1.3%MiMo-V2.5 is a code generation model with 155.4B parameters released by XiaomiMiMo. And supports text+image+audio+video->text inputs, distributed under the permissive mit license.
MiMo-V2.5 is priced at $0.4/M input tokens and $2/M output tokens. Operationally the model offers a 1049K-token context window, which matters when sizing it for prompt-heavy or latency-sensitive workloads. At this input rate the model sits in the commodity tier and is suitable for high-volume workloads where per-call cost dominates the decision.
MiMo-V2.5 ships with 155.4B parameters. Total weight footprint is approximately 310.8 GB, which is the relevant figure when planning local-inference VRAM. The mit license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.
Downloads of MiMo-V2.5 have moved +1.3% over the past 24 hours, +346.2% over the trailing thirty days. That is a slight downtrend, consistent with normal cooling as newer models compete for the same workloads. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.
MiMo-V2.5 is best fit for code completion, repository-scale Q&A, and pair-programming integrations, high-volume batch jobs where per-call cost dominates the budget, and long-context tasks such as full-codebase analysis or book-length summarization (1049K tokens). It is a less obvious choice for one-shot generation of security-critical code without review. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
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