DeepSeek vs Mimo (Xiaomi) Price Showdown: Which LLM API Is Truly Cheapest in 2026?

If you are building with LLM APIs, cost matters. Two names keep coming up in the "cheapest AI API" conversation: DeepSeek (the Chinese AI lab leading the open-weight revolution) and Mimo (Xiaomi's surprising entry into the LLM space).

We ran real inference tests on TokenPAPA to compare them head-to-head. Here is what we found.

Pricing Comparison

Input Cost (per 1M tokens)

Model	Input Price
DeepSeek V4 Flash	$0.14
DeepSeek V4 Pro	$0.28
Mimo V2.5	$0.08
Mimo V2.5 Pro	$0.12

Output Cost (per 1M tokens)

Model	Output Price
DeepSeek V4 Flash	$0.42
DeepSeek V4 Pro	$0.84
Mimo V2.5	$0.24
Mimo V2.5 Pro	$0.36

Real-World Cost Analysis

We translated a 900-character technical article into English using both model families:

Model	Tokens Used	Estimated Cost
Mimo V2.5	1,394	~$0.00033
Mimo V2.5 Pro	1,391	~$0.00050
DeepSeek V4 Flash	1,200	~$0.00056
DeepSeek V4 Pro	2,479	~$0.00140

Winner: Mimo V2.5 — roughly 40% cheaper than DeepSeek V4 Flash for comparable output quality.

Performance Considerations

Of course, price is not everything. Here is what each model excels at:

DeepSeek V4 Pro

• Strong reasoning (1,380 reasoning tokens on our test)
• Excellent for complex analytical tasks
• Best-in-class for STEM content

Mimo V2.5 Pro

• Faster response times (16s vs 24s for similar tasks)
• Good general-purpose performance
• Ideal for high-volume, cost-sensitive applications

Mimo V2.5

• The value king — lowest cost per token
• Fastest completion times on lightweight tasks
• Perfect for chatbots, content generation, and experimentation

The Real Win: Why Use TokenPAPA

Here is the thing — you do not have to choose. TokenPAPA gives you both through a single API:

• One API key for 30+ models (DeepSeek, Mimo, GPT, Claude, Gemini, Qwen, GLM, Kimi, Minimax, and more)
• Switch models by changing one parameter — no new integration needed
• Pay-as-you-go pricing with free credits on signup
• No VPN needed for overseas users accessing Chinese LLMs

Example: Switching from Mimo to DeepSeek

# Same client, same API key, same base URL
client = openai.OpenAI(
    api_key="your-tokenpapa-key",
    base_url="https://tokenpapa.ai/v1"
)

# Just change the model name:
response = client.chat.completions.create(
    model="mimo-v2.5-pro",     # or "deepseek-v4-pro"
    messages=[{"role": "user", "content": "Hello"}]
)

Bottom Line

If you want…	Go with…
Absolute lowest cost	Mimo V2.5
Best value + speed	Mimo V2.5 Pro
Deep reasoning	DeepSeek V4 Pro
All of the above	TokenPAPA (one API for every model)

Try it yourself. Sign up at TokenPAPA, grab your free credits, and run your own benchmarks. The best model is the one that works — and costs you the least.

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Originally published at https://doc.tokenpapa.ai/en/docs/blog/deepseek-vs-mimo-pricing.