Deep Infra vs Xiaomi MiMo: Token Pricing, Speed & Intelligence
Full comparison of Deep Infra and Xiaomi MiMo — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Deep Infra
Ultra-cheap open-weight inference — Llama 4, DeepSeek V4 Pro, Qwen3 at rock-bottom prices
Deep Infra is an inference-focused API provider that consistently offers the lowest per-token prices for open-weight models. The 2026 catalog includes Llama 4 Scout/Maverick, DeepSeek V4 Pro, Qwen3-235B, Kimi K3, and the full Llama 3.x family. Deep Infra is the go-to choice for cost-sensitive production inference where price is the primary constraint.
Xiaomi MiMo
MiMo-V2.5-Pro, MiMo-V2.5, MiMo-V2.5-Pro-UltraSpeed — reasoning-focused models from Xiaomi
Xiaomi MiMo is the LLM inference platform from Xiaomi, offering the MiMo model family: MiMo-V2.5-Pro (flagship, 1M context), MiMo-V2.5 (efficient), and MiMo-V2.5-Pro-UltraSpeed (high-throughput). The MiMo models are reasoning-focused, with strong performance on math and coding benchmarks. Pricing is published at platform.xiaomimimo.com/docs/pricing.
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Live token pricing
Strengths and weaknesses
Deep Infra
Xiaomi MiMo
Key differentiators
The most price-competitive inference API for open-weight models — Llama 4, DeepSeek V4 Pro, and Qwen3 at prices 30–50% below comparable providers, with zero migration friction via OpenAI-compatible API.
Xiaomi's reasoning-focused MiMo model family with 1M context on the Pro tier and a UltraSpeed variant for high-throughput inference at competitive per-token rates.
Frequently asked questions
Deep Infra FAQs
What models does Deep Infra support in 2026?
Deep Infra hosts Llama 4 Scout and Maverick, DeepSeek V4 Pro, Qwen3-235B, Kimi K3, the full Llama 3.x family, Mistral, Mixtral, and many others. The catalog is updated rapidly as new open-weight models are released.
How cheap is Deep Infra compared to other providers?
Deep Infra is consistently among the more affordable providers for open-weight models. Check deepinfra.com/pricing for current rates on Llama 3.1 8B, Llama 3.3 70B, and other models.
Is Deep Infra OpenAI-compatible?
Yes. Deep Infra provides an OpenAI-compatible API, so you can use the OpenAI SDK by pointing it at the Deep Infra endpoint. This makes migration from OpenAI or other providers straightforward.
Xiaomi MiMo FAQs
What is Xiaomi MiMo?
Xiaomi MiMo is Xiaomi's LLM inference platform, offering the MiMo-V2.5 model family. MiMo-V2.5-Pro supports 1M context, MiMo-V2.5 is the efficient tier, and MiMo-V2.5-Pro-UltraSpeed is optimised for high-throughput workloads. See platform.xiaomimimo.com/docs/pricing for current rates.
What context window does MiMo-V2.5-Pro support?
MiMo-V2.5-Pro supports a 1M token context window, enabling full-document and long-context workloads in a single API call.
How much does Xiaomi MiMo cost?
As of October 2026: MiMo-V2.5-Pro $0.435/$0.87 per 1M tokens (input/output), MiMo-V2.5 $0.14/$0.28, MiMo-V2.5-Pro-UltraSpeed $1.305/$2.61. See platform.xiaomimimo.com/docs/pricing for current rates.
Provider resources
Deep Infra — Ultra-cheap open-weight inference — Llama 4, DeepSeek V4 Pro, Qwen3 at rock-bottom prices
Deep Infra is an inference-focused API provider that consistently offers the lowest per-token prices for open-weight models. The 2026 catalog includes Llama 4 Scout/Maverick, DeepSeek V4 Pro, Qwen3-235B, Kimi K3, and the full Llama 3.x family. Deep Infra is the go-to choice for cost-sensitive production inference where price is the primary constraint.
The most price-competitive inference API for open-weight models — Llama 4, DeepSeek V4 Pro, and Qwen3 at prices 30–50% below comparable providers, with zero migration friction via OpenAI-compatible API.
Xiaomi MiMo — MiMo-V2.5-Pro, MiMo-V2.5, MiMo-V2.5-Pro-UltraSpeed — reasoning-focused models from Xiaomi
Xiaomi MiMo is the LLM inference platform from Xiaomi, offering the MiMo model family: MiMo-V2.5-Pro (flagship, 1M context), MiMo-V2.5 (efficient), and MiMo-V2.5-Pro-UltraSpeed (high-throughput). The MiMo models are reasoning-focused, with strong performance on math and coding benchmarks. Pricing is published at platform.xiaomimimo.com/docs/pricing.
Xiaomi's reasoning-focused MiMo model family with 1M context on the Pro tier and a UltraSpeed variant for high-throughput inference at competitive per-token rates.
Key strengths compared
Deep Infra
- Consistently lowest prices for open-weight models — often 30–50% below competitors
- 2026 catalog: Llama 4, DeepSeek V4 Pro, Qwen3-235B, Kimi K3
- Wide model catalog updated rapidly as new models release
- No proprietary models — open-weight only
- No enterprise SLAs or dedicated support
Xiaomi MiMo
- MiMo-V2.5-Pro: 1M context window at competitive pricing
- MiMo-V2.5-Pro-UltraSpeed: high-throughput variant for latency-sensitive workloads
- Reasoning-focused architecture — strong on math and coding
- Smaller ecosystem than OpenAI or Anthropic
- Limited English-language documentation
Key weaknesses compared
Deep Infra
- No proprietary models — open-weight only
- No enterprise SLAs or dedicated support
- Smaller ecosystem than Together AI or Fireworks
Xiaomi MiMo
- Smaller ecosystem than OpenAI or Anthropic
- Limited English-language documentation
- Newer platform — less battle-tested at scale
Provider category context
Deep Infra is a inference api, founded in 2023. Xiaomi MiMo is a frontier lab, founded in 2024 (as LLM service). Deep Infra as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Xiaomi MiMo as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.
How to choose between them
Choose Deep Infra if you need consistently lowest prices for open-weight models — often 30–50% below competitors. Choose Xiaomi MiMo if you need mimo-v2.5-pro: 1m context window at competitive pricing. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.