Mi:dm K 2.5 Pro Preview vs Mi:dm K 2.5 Pro

Comparing 2 AI models · 5 benchmarks · Korea Telecom

Most Affordable
Korea Telecom logo
Mi:dm K 2.5 Pro Preview
$0.00/1M
Highest Intelligence
Korea Telecom logo
Mi:dm K 2.5 Pro Preview
72.2% GPQA
Best for Coding
Korea Telecom logo
Mi:dm K 2.5 Pro
12.6 Coding Index
Price Difference
NaNx
input cost range

Composite Indices

Intelligence, Coding, Math

Standard Benchmarks

Academic and industry benchmarks

Benchmark Winners

5 tests
Korea Telecom logo

Mi:dm K 2.5 Pro Preview

4
  • GPQA
  • MMLU Pro
  • HLE
  • AIME 2025
Korea Telecom logo

Mi:dm K 2.5 Pro

1
  • LiveCodeBench
Metric
Korea Telecom logo Mi:dm K 2.5 Pro Preview
Korea Telecom
Korea Telecom logo Mi:dm K 2.5 Pro
Korea Telecom
Pricing
Per 1M tokens
Input Cost $0.00/1M $0.00/1M
Output Cost $0.00/1M $0.00/1M
Specifications
Organization Model creator
Korea Telecom Korea Telecom
Release Date Launch date
Dec 11, 2025 Dec 11, 2025
Performance & Speed
Throughput Output speed
Time to First Token (TTFT) Initial response delay
Latency Time to first answer token
Composite Indices
Intelligence Index Overall reasoning capability
23.0
Coding Index Programming ability
11.9 12.6
Math Index Mathematical reasoning
78.7 76.7
Standard Benchmarks
GPQA Graduate-level reasoning
72.2% 70.1%
MMLU Pro Advanced knowledge
81.3% 80.9%
HLE Hard language evaluation
8.8% 7.7%
LiveCodeBench Real-world coding tasks
57.6% 65.6%
MATH 500 Mathematical problems
AIME 2025 Advanced math competition
78.7% 76.7%
AIME (Original) Math olympiad problems
SciCode Scientific code generation
29.7% 33.2%
LCR Code review capability
11.0% 9.0%
IFBench Instruction-following
45.6% 49.3%
TAU-bench v2 Tool use & agentic tasks
49.4% 86.5%
TerminalBench Hard CLI command generation
3.0% 2.3%

Key Takeaways

Mi:dm K 2.5 Pro Preview offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.

Mi:dm K 2.5 Pro Preview leads in reasoning capabilities with a 72.2% GPQA score, excelling at complex analytical tasks and problem-solving.

Mi:dm K 2.5 Pro achieves a 12.6 coding index, making it the top choice for software development and code generation tasks.

All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.

When to Choose Each Model

Korea Telecom logo

Mi:dm K 2.5 Pro Preview

  • Cost-sensitive applications
  • High-volume processing
  • Complex reasoning tasks
  • Research & analysis
Korea Telecom logo

Mi:dm K 2.5 Pro

  • Code generation
  • Software development

Cost Calculator

Korea Telecom logo Mi:dm K 2.5 Pro Preview
$0.00
per month
Korea Telecom logo Mi:dm K 2.5 Pro
$0.00
per month

Costs are estimates based on API pricing. Actual costs may vary based on caching, batch processing, and volume discounts.

AI Model Comparison Guide

Compare large language models (LLMs) side-by-side with detailed benchmark scores, pricing, and performance metrics. Our interactive comparison tool helps you evaluate AI models from OpenAI, Anthropic, Google, Meta, DeepSeek, and other leading providers. Use our AI model leaderboard to discover more models to compare.

Understanding Composite Indices

  • Intelligence Index: Aggregated score combining MMLU-Pro, GPQA, and HLE benchmarks - measures overall reasoning and knowledge capabilities
  • Coding Index: Composite metric from LiveCodeBench, SciCode, and LiveCodeBench Review - evaluates programming proficiency across multiple languages
  • Math Index: Combined score from AIME, AIME 2025, and MATH-500 benchmarks - assesses mathematical reasoning from high school to competition level

Key Comparison Metrics

  • Benchmark Scores: Standardized tests measuring intelligence, coding, math, and specialized capabilities - higher percentages indicate better performance
  • Pricing Analysis: Compare input and output token costs across models - critical for budgeting API usage and scaling applications
  • Performance Metrics: Throughput (tokens/second) and latency measurements for real-time application planning
  • Context Windows: Maximum token capacity for processing documents and maintaining conversation history

How to Compare AI Models Effectively

Performance vs Cost

Balance benchmark scores against token pricing - flagship models offer 10-15% better performance but cost 5-10x more than smaller alternatives

Task-Specific Selection

Prioritize relevant indices: coding index for development tasks, math index for STEM applications, intelligence index for general reasoning

Real-World Testing

Use our free AI chat interface to test models with your specific prompts before committing to API integration

All benchmark scores, pricing data, and performance metrics are sourced from Artificial Analysis and updated daily. Compare models by intelligence, coding ability, math performance, speed, cost, or release date using our comprehensive AI model leaderboard.