Llama 3.3 Nemotron Super 49B V1.5 vs Relace Search

Compare Llama 3.3 Nemotron Super 49B V1.5 from Nvidia and Relace Search from relace on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the OpenRouter API.

Llama 3.3 Nemotron Super 49B V1.5 vs Relace Search: side-by-side summary

Llama 3.3 Nemotron Super 49B V1.5 and Relace Search are available through the OpenRouter API, so switching between them takes a model slug change rather than a new integration.

Llama 3.3 Nemotron Super 49B V1.5, from Nvidia, has a 131,072-token context window and is priced by the provider serving it on OpenRouter.

Relace Search, from relace, has a 256,000-token context window and is priced at $1/M tokens input, $3/M tokens output on OpenRouter.

Context window

Llama 3.3 Nemotron Super 49B V1.5: 131,072 tokens
Relace Search: 256,000 tokens

Price

Llama 3.3 Nemotron Super 49B V1.5: Pricing varies by provider
Relace Search: $1/M tokens input, $3/M tokens output

Provided by

Llama 3.3 Nemotron Super 49B V1.5: Nvidia
Relace Search: relace

Llama 3.3 Nemotron Super 49B V1.5 vs Relace Search at a glance

Llama 3.3 Nemotron Super 49B V1.5 vs Relace Search comparison
	Llama 3.3 Nemotron Super 49B V1.5	Relace Search
Input price	Pricing varies by provider	$1/M tokens
Output price	Pricing varies by provider	$3/M tokens
Context window	131,072 tokens	256,000 tokens
Intelligence Index	9.0	Not available
Coding Index	Not available	Not available
Agentic Index	Not available	Not available
Latency (p50)	Not available	0.61 s
Throughput (p50)	Not available	220.0 tok/s

Oct 5, 2026

Which has the longer context window, Llama 3.3 Nemotron Super 49B V1.5 or Relace Search?

Relace Search has the longer context window at 256,000 tokens, compared with 131,072 tokens for Llama 3.3 Nemotron Super 49B V1.5.

Llama 3.3 Nemotron Super 49B V1.5 vs Relace Search

Llama 3.3 Nemotron Super 49B V1.5 vs Relace Search

Overview