ERNIE Speed vs ERNIE Lite

Both ERNIE Speed and ERNIE Lite are open-weights foundation models available at $0.00 direct API cost when self-hosted, or offered at identical baseline rates across major inference providers. Model selection depends on GPU deployment sizing and specialized benchmark performance rather than raw token price.

Both ERNIE Speed and ERNIE Lite offer an identical context window of 128K tokens (~96k words). Both architectures provide equal capacity for large document ingestion, multi-file codebases, and extended multi-turn conversation histories.

ERNIE Speed scores at the frontier of coding benchmarks, while ERNIE Lite scores competitively for software generation. For complex autonomous debugging and agentic engineering, ERNIE Speed provides robust code generation and tool calling.

ERNIE Speed is optimized for low-latency direct generation. In contrast, ERNIE Lite focuses on standard fast inference.

ERNIE Speed generates approximately 175 tokens per second, while ERNIE Lite delivers 190 tokens per second. In latency-sensitive production environments, ERNIE Lite provides faster time-to-first-token (TTFT) and higher streaming response velocity.

Yes! Tiered multi-model routing can optimize for latency and accuracy: you can route high-frequency conversational turns and latency-sensitive queries to ERNIE Lite, and route deep architectural or complex reasoning queries to ERNIE Speed. This balanced routing strategy maximizes system throughput and answer quality.