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Claude Opus 4.7 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 Claude Opus 4.7 and Yi-Lightning.

Anthropic

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

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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.

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Technical Specifications

SpecificationClaude Opus 4.7Yi-Lightning
ProviderAnthropic01.AI
Context Window1,000,000 tokens131,072 tokens
Agent Suitability96/10082/100
Time to First Token (TTFT)480 ms120 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162025-10-01

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

Yi-Lightning

$0.15

Output Price per Million Tokens

Claude Opus 4.7

$25.00

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.

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
9410.0%vsN/A
Claude Opus 4.7
Yi-Lightning
HumanEvalPython coding & logic synthesis
9610.0%vsN/A
Claude Opus 4.7
Yi-Lightning
MATHComplex mathematical problem solving
9150.0%vsN/A
Claude Opus 4.7
Yi-Lightning
GPQAGraduate-level expert reasoning
8420.0%vsN/A
Claude Opus 4.7
Yi-Lightning
HellaSwagCommonsense reasoning and inference
9880.0%vsN/A
Claude Opus 4.7
Yi-Lightning
MT-BenchMulti-turn conversation flow quality
975.0%vsN/A
Claude Opus 4.7
Yi-Lightning

Claude Opus 4.7 Quirks & Gotchas

  • β–ΈTop-tier agentic coding model β€” excels at autonomous software engineering
  • β–ΈRequires explicit tool_choice parameter for parallel function calling to work reliably

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