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

Detailed technical comparison between GPT-4o-mini (OpenAI) and MiMo-V2.5-Pro (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: 1 WinvsMiMo-V2.5-Pro: 5 Wins
Context Leader

MiMo-V2.5-Pro

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-4o-mini

$0.15 / 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 β†’
Xiaomiactive

MiMo-V2.5-Pro

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....

View MiMo-V2.5-Pro Full Specs β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationGPT-4o-miniMiMo-V2.5-Pro
ProviderOpenAIXiaomi
Context Window128,000 tokens1,050,000 tokensπŸ†
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-Pro

$0.43

Output Price per Million Tokens

GPT-4o-mini

$0.60

MiMo-V2.5-Pro

$0.87

πŸ’‘ Cost Ratio: GPT-4o-mini is 2.9x cheaper per input token than MiMo-V2.5-Pro.

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.

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%vs86.6%+4.6% MiMo-V2.5-Pro
GPT-4o-mini
MiMo-V2.5-Pro πŸ†
HumanEvalPython coding & logic synthesis
84.0%vs85.8%+1.8% MiMo-V2.5-Pro
GPT-4o-mini
MiMo-V2.5-Pro πŸ†
MATHComplex mathematical problem solving
70.2%vs67.0%+3.2% GPT-4o-mini
GPT-4o-mini πŸ†
MiMo-V2.5-Pro
GPQAGraduate-level expert reasoning
45.0%vs48.4%+3.4% MiMo-V2.5-Pro
GPT-4o-mini
MiMo-V2.5-Pro πŸ†
HellaSwagCommonsense reasoning and inference
84.7%vs87.6%+2.9% MiMo-V2.5-Pro
GPT-4o-mini
MiMo-V2.5-Pro πŸ†
MT-BenchMulti-turn conversation flow quality
8.6%vs9.0%+0.4% MiMo-V2.5-Pro
GPT-4o-mini
MiMo-V2.5-Pro πŸ†

GPT-4o-mini Quirks & Gotchas

  • β–ΈUltra-low latency β€” best TTFT in the OpenAI lineup
  • β–ΈTool calling limited to single-step β€” not suitable for complex agentic pipelines

MiMo-V2.5-Pro Quirks & Gotchas

No developer gotchas reported.

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