MiMo-V2.5-Pro
Xiaomi's open-weights flagship (April 2026): a 1.02T-parameter MoE (42B active, MIT license) built for long-horizon autonomous tasks with 1,000+ tool calls. Top-20 by OpenRouter usage and #5 open-weights on the Artificial Analysis Intelligence Index. Throughput is modest (~47 tok/s), but capability-per-dollar is exceptional.
MiMo-V2.5-Pro strengths
- MIT open weights (1.02T MoE)
- 1,000+ tool-call long-horizon agents
- Strong SWE-bench Pro results
- 1M context
- Exceptional capability-per-dollar
Pricing & context
| Context window | 1M tokens |
| Input price /1M | $0.435 |
| Output price /1M | $0.87 |
| Modalities | text |
Cost guide: a typical call of about 10K input + 2K output tokens costs roughly $0.006 at list prices. Worth modelling against cheaper tiers before committing high-volume traffic.
When to choose MiMo-V2.5-Pro
MiMo-V2.5-Pro is best for agentic coding and long-running autonomous agents on a budget, including self-hosted deployments. If your workload is more cost-sensitive, weigh it against gpt-oss-120b (≈$0.03 input /1M) first.
MiMo-V2.5-Pro FAQ
How much does MiMo-V2.5-Pro cost?
MiMo-V2.5-Pro is priced at $0.435 per 1M input tokens and $0.87 per 1M output tokens (public API list price), with a 1M tokens context window. A typical call of about 10K input and 2K output tokens costs roughly $0.006.
What is MiMo-V2.5-Pro best for?
MiMo-V2.5-Pro by Xiaomi is best for agentic coding and long-running autonomous agents on a budget, including self-hosted deployments.
How does MiMo-V2.5-Pro pricing compare to MiMo-V2.5?
MiMo-V2.5-Pro input costs $0.435 per 1M tokens versus $0.105 for MiMo-V2.5, roughly 4.1x more expensive on input. Output is $0.87 vs $0.28.
Is MiMo-V2.5-Pro multimodal?
MiMo-V2.5-Pro supports text.
Other models
All models →| 01 | Claude Fable 5 | Anthropic | $10.00 | → |
| 02 | GPT-5.5 | OpenAI | $5.00 | → |
| 03 | Claude Opus 4.8 | Anthropic | $5.00 | → |
| 04 | Gemini 3.1 Pro | $2.00 (under 200K; $4.00 above) | → |