API cost decision in 10 seconds

Relace Search vs Rnj 1 Instruct

Pick Rnj 1 Instruct for lower cost; pick Relace Search only if the larger context window matters more.

Pricing data updated: 2026-05-26T11:08:00Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Rnj 1 Instruct for lower cost; pick Relace Search only if the larger context window matters more.

On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $2.5 for Relace Search, saving $2.27 (91% lower).

Cost-first pickRnj 1 Instruct

Context-first pickRelace Search

Sample savings$2.2791%

10x traffic gap$22.75

Relace Search has more context, but Rnj 1 Instruct saves $2.27 on the standard workload. At 10x that traffic, the same price gap is about $22.75. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Rnj 1 Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	Relace Search	Rnj 1 Instruct
Input-heavy / RAG	5M input + 500K output	Rnj 1 Instruct	$6.5	$0.82
Balanced workload	1M input + 1M output	Rnj 1 Instruct	$4	$0.3
Output-heavy chatbot	1M input + 5M output	Rnj 1 Instruct	$16	$0.9

Cheaper input Rnj 1 Instruct $1 vs $0.15 / 1M

Rnj 1 Instruct is $0.85 cheaper per 1M input tokens (85% lower; 6.67x difference).

Cheaper output Rnj 1 Instruct $3 vs $0.15 / 1M

Rnj 1 Instruct is $2.85 cheaper per 1M output tokens (95% lower; 20x difference).

Larger context Relace Search 256K vs 32.77K

Relace Search has 223.23K more context (7.81x larger).

Sample workload Rnj 1 Instruct $2.5 vs $0.22

Rnj 1 Instruct is $2.27 cheaper on the standard workload (91% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Relace Search Calculating… Estimated API cost

Rnj 1 Instruct Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Rnj 1 Instruct has the lower input price; Rnj 1 Instruct has the lower output price; Relace Search offers the larger context window. For the 1M input plus 500K output sample, Rnj 1 Instruct is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $2.5 for Relace Search and $0.22 for Rnj 1 Instruct.

Best Fit

Choose Relace Search when you care most about larger context window.

Choose Rnj 1 Instruct when you care most about lower input-token price, and lower output-token price.

Decision Notes

On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $2.5 for Relace Search, saving $2.27 (91% lower).
Rnj 1 Instruct is $2.27 cheaper on the standard workload (91% lower).
Rnj 1 Instruct is $0.85 cheaper per 1M input tokens (85% lower; 6.67x difference).
Rnj 1 Instruct is $2.85 cheaper per 1M output tokens (95% lower; 20x difference).
Relace Search has 223.23K more context (7.81x larger).

Head-to-Head Specs

Feature	Relace Search (Relace)	Rnj 1 Instruct (EssentialAI)
Input Price prompt tokens per 1M	$1	$0.15
Completion Price per 1M tokens	$3	$0.15
Sample Workload Cost 1M input + 500K output	$2.5	$0.22
Context Window	256K	32.77K
Release Date	2025-12-08	2025-12-07

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Rnj 1 Instruct	On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $2.5 for Relace Search, saving $2.27 (91% lower).
High-volume input processing	Rnj 1 Instruct	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Rnj 1 Instruct	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Relace Search	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Relace Apply 3 can replace Relace Search when lower sample workload cost matters most: $1.48.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 sample workload cost.
Grok 4.20 offers 2M context with $2.5 sample workload cost.
Owl Alpha offers 1.05M context with $0 sample workload cost.
Gemini 3.1 Flash Lite offers 1.05M context with $1 sample workload cost.

Popular competitors

No popular competitor is currently available.

Cheaper alternatives

Review low-cost models sorted by a standard 1M input plus 500K output workload.

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

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Relace catalog

Review all tracked Relace models before deciding whether this matchup is the right shortlist.

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EssentialAI catalog

Check other EssentialAI models with comparable pricing, context, or release timing.

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Relace Search

The relace-search model uses 4-12 `view_file` and `grep` tools in parallel to explore a codebase and return relevant files to the user request. In contrast to RAG, relace-search performs agentic...

Rnj 1 Instruct

Rnj-1 is an 8B-parameter, dense, open-weight model family developed by Essential AI and trained from scratch with a focus on programming, math, and scientific reasoning. The model demonstrates strong performance...