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GPT-4o-mini vs MiMo-V2.5

Detailed technical comparison between GPT-4o-mini (OpenAI) and MiMo-V2.5 (Xiaomi). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

GPT-4o-mini: 6 WinsvsMiMo-V2.5: 0 Wins
Context Leader

MiMo-V2.5

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

MiMo-V2.5

$0.14 / MTok
OpenAIactive

GPT-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

View GPT-4o-mini Full Specs →
Xiaomiactive

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...

View MiMo-V2.5 Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGPT-4o-miniMiMo-V2.5
ProviderOpenAIXiaomi
Context Window128,000 tokens1,050,000 tokens🏆
Agent Suitability82/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2024-07-182026-04-22

API Pricing Comparison

Input Price per Million Tokens

GPT-4o-mini

$0.15

MiMo-V2.5

$0.14

Output Price per Million Tokens

GPT-4o-mini

$0.60

MiMo-V2.5

$0.28

💡 Cost Ratio: MiMo-V2.5 is 1.1x cheaper per input token than GPT-4o-mini.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
82.0%vs81.4%+0.6% GPT-4o-mini
GPT-4o-mini 🏆
MiMo-V2.5
HumanEvalPython coding & logic synthesis
84.0%vs79.6%+4.4% GPT-4o-mini
GPT-4o-mini 🏆
MiMo-V2.5
MATHComplex mathematical problem solving
70.2%vs53.4%+16.8% GPT-4o-mini
GPT-4o-mini 🏆
MiMo-V2.5
GPQAGraduate-level expert reasoning
45.0%vs38.8%+6.2% GPT-4o-mini
GPT-4o-mini 🏆
MiMo-V2.5
HellaSwagCommonsense reasoning and inference
84.7%vs81.0%+3.7% GPT-4o-mini
GPT-4o-mini 🏆
MiMo-V2.5
MT-BenchMulti-turn conversation flow quality
8.6%vs8.4%+0.2% GPT-4o-mini
GPT-4o-mini 🏆
MiMo-V2.5

GPT-4o-mini Quirks & Gotchas

  • ▸Ultra-low latency — best TTFT in the OpenAI lineup
  • ▸Tool calling limited to single-step — not suitable for complex agentic pipelines

MiMo-V2.5 Quirks & Gotchas

No developer gotchas reported.

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