API cost decision in 10 seconds

NewPerceptron Mk1 vs Rnj 1 Instruct

Pick Rnj 1 Instruct when budget is the priority.

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 when budget is the priority.

On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $0.9 for Perceptron Mk1, saving $0.68 (75% lower).

Cost-first pickRnj 1 Instruct

Context-first pickBoth models

Sample savings$0.6875%

10x traffic gap$6.75

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $6.75. 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	Perceptron Mk1	Rnj 1 Instruct
Input-heavy / RAG	5M input + 500K output	Rnj 1 Instruct	$1.5	$0.82
Balanced workload	1M input + 1M output	Rnj 1 Instruct	$1.65	$0.3
Output-heavy chatbot	1M input + 5M output	Rnj 1 Instruct	$7.65	$0.9

Cheaper input Tie $0.15 vs $0.15 / 1M

Both models report the same input price at $0.15 per 1M tokens.

Cheaper output Rnj 1 Instruct $1.5 vs $0.15 / 1M

Rnj 1 Instruct is $1.35 cheaper per 1M output tokens (90% lower; 10x difference).

Larger context Tie 32.77K vs 32.77K

Both models report the same context window at 32.77K tokens.

Sample workload Rnj 1 Instruct $0.9 vs $0.22

Rnj 1 Instruct is $0.68 cheaper on the standard workload (75% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Perceptron Mk1 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

both models tie on input price; Rnj 1 Instruct has the lower output price; both models report the same 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 $0.9 for Perceptron Mk1 and $0.22 for Rnj 1 Instruct.

Best Fit

Choose Perceptron Mk1 when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

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

Decision Notes

On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $0.9 for Perceptron Mk1, saving $0.68 (75% lower).
Rnj 1 Instruct is $0.68 cheaper on the standard workload (75% lower).
Both models report the same input price at $0.15 per 1M tokens.
Rnj 1 Instruct is $1.35 cheaper per 1M output tokens (90% lower; 10x difference).
Both models report the same context window at 32.77K tokens.

Head-to-Head Specs

Feature	NewPerceptron Mk1 (Perceptron)	Rnj 1 Instruct (EssentialAI)
Input Price prompt tokens per 1M	$0.15	$0.15
Completion Price per 1M tokens	$1.5	$0.15
Sample Workload Cost 1M input + 500K output	$0.9	$0.22
Context Window	32.77K	32.77K
Release Date	2026-05-12	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 $0.9 for Perceptron Mk1, saving $0.68 (75% lower).
High-volume input processing	Tie	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	Tie	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

No lower-cost same-provider swap is currently tracked for this pair.

Larger context near this budget

Llama 4 Scout offers 10M context with $0.23 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.
DeepSeek V4 Pro offers 1.05M context with $0.87 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.

Open cheapest models

Larger context alternatives

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

Open largest context models

Provider catalogs

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

Open provider hubs

Perceptron catalog

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

Open Perceptron models

EssentialAI catalog

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

Open EssentialAI models

Perceptron Mk1

Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...

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...