← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

MiniMax M2.7 vs Yi-Lightning

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for MiniMax M2.7 and Yi-Lightning.

MiniMax

MiniMax M2.7

MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...

View Full Specs
01.AI

Yi-Lightning

Yi-Lightning is 01.AI's (離一万物) fastest and most cost-efficient model, purpose-built for high-throughput production workloads. It delivers competitive performance against GPT-4o-mini and Claude Haiku at a fraction of the cost, with exceptional bilingual Chinese-English capabilities. Yi-Lightning excels at classification, entity extraction, summarization, and high-frequency API tasks where latency and cost-per-call are critical constraints.

View Full Specs

Technical Specifications

SpecificationMiniMax M2.7Yi-Lightning
ProviderMiniMax01.AI
Context Window204,800 tokens131,072 tokens
Agent SuitabilityN/A82/100
Time to First Token (TTFT)N/A120 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-03-182025-10-01

API Pricing Comparison

Input Price per Million Tokens

MiniMax M2.7

$0.18

Yi-Lightning

$0.15

Output Price per Million Tokens

MiniMax M2.7

$0.72

Yi-Lightning

$0.30

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Open Live Sandbox Playground

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8250.0%vsN/A
MiniMax M2.7
Yi-Lightning
HumanEvalPython coding & logic synthesis
8000.0%vsN/A
MiniMax M2.7
Yi-Lightning
MATHComplex mathematical problem solving
5400.0%vsN/A
MiniMax M2.7
Yi-Lightning
GPQAGraduate-level expert reasoning
3900.0%vsN/A
MiniMax M2.7
Yi-Lightning
HellaSwagCommonsense reasoning and inference
8400.0%vsN/A
MiniMax M2.7
Yi-Lightning
MT-BenchMulti-turn conversation flow quality
870.0%vsN/A
MiniMax M2.7
Yi-Lightning

MiniMax M2.7 Quirks & Gotchas

No developer gotchas reported.

Yi-Lightning Quirks & Gotchas

  • β–ΈBest cost-efficiency for high-volume bilingual applications
  • β–ΈSelf-hostable via Ollama β€” excellent open-weight option for Asian-language pipelines