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Claude 3.5 Sonnet 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 3.5 Sonnet and Yi-Lightning.

Anthropic

Claude 3.5 Sonnet

Claude 3.5 Sonnet was Anthropic's breakout model of 2024, widely regarded as one of the most capable commercial LLMs of its generation. It earned widespread developer praise for its exceptional coding ability, nuanced long-form writing, and reliable complex reasoning across a 200,000-token context window. Claude 3.5 Sonnet introduced computer-use capabilities, enabling it to interact with desktop environments, web browsers, and software tools autonomously. Available via API at $3/MTok for input, it continues to be a popular choice for developers who want a well-rounded, safety-aligned model with strong benchmark performance for coding, analysis, and content generation tasks.

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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 3.5 SonnetYi-Lightning
ProviderAnthropic01.AI
Context Window200,000 tokens131,072 tokens
Agent SuitabilityN/A82/100
Time to First Token (TTFT)N/A120 ms
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-06-212025-10-01

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Sonnet

$3.00

Yi-Lightning

$0.15

Output Price per Million Tokens

Claude 3.5 Sonnet

$15.00

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
8870.0%vsN/A
Claude 3.5 Sonnet
Yi-Lightning
HumanEvalPython coding & logic synthesis
9200.0%vsN/A
Claude 3.5 Sonnet
Yi-Lightning
MATHComplex mathematical problem solving
7110.0%vsN/A
Claude 3.5 Sonnet
Yi-Lightning
GPQAGraduate-level expert reasoning
5940.0%vsN/A
Claude 3.5 Sonnet
Yi-Lightning
HellaSwagCommonsense reasoning and inference
9540.0%vsN/A
Claude 3.5 Sonnet
Yi-Lightning
MT-BenchMulti-turn conversation flow quality
935.0%vsN/A
Claude 3.5 Sonnet
Yi-Lightning

Claude 3.5 Sonnet 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