MiMo-V2.5

xiaomi/mimo-v2.5

MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding...

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Endpoints

Each row is one provider serving these weights at one precision. Prices are per million tokens.

Quantisation	Context	Max out	Input	Output	Cached in
FP8	1024K	128K	$0.168	$0.336	$0.003

Agent config

Paste this into your coding agent and it can configure itself. The timeout is derived from this variant's measured throughput, not a guess — a long generation that outlives a client's default ceiling is the most common way a working request looks broken.

# Infersia — xiaomi/mimo-v2.5
# Paste this to your agent. Values are measured, not aspirational.

provider:
  type: openai-compatible
  base_url: https://api.infersia.com/v1
  api_key: ${INFERSIA_API_KEY}   # from https://infersia.com/dashboard/keys
  model: xiaomi/mimo-v2.5

limits:
  max_input_tokens: 1048576      # hard limit — over this returns HTTP 413
  max_output_tokens: 131072
  timeout_seconds: 600                  # no throughput measured yet; 600 is a safe default

features:
  streaming: true
  tools: true
  vision: true
  reasoning: true   # OFF by default; send chat_template_kwargs.enable_thinking=true to opt in
  prompt_caching: false

pricing_usd_per_million_tokens:
  input: 0.168
  output: 0.336
  cached_input: 0.003

What FP8 means

8-bit floating point. Near-lossless against FP16.

Call it

curlbash

curl https://api.infersia.com/v1/chat/completions \
  -H "Authorization: Bearer $INFERSIA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "xiaomi/mimo-v2.5",
    "messages": [{"role": "user", "content": "Hello"}],
    "stream": true
  }'

Pin a provider with xiaomi/mimo-v2.5@infersia, or take the cheapest with the bare id. Add :free for the rate-limited free tier where one exists.