Rnj 1 Instruct is $0.6 cheaper per 1M input tokens (80% lower; 5x difference).
API cost decision in 10 seconds
GPT-5.4 Mini vs Rnj 1 Instruct
Pick Rnj 1 Instruct for lower cost; pick GPT-5.4 Mini only if the larger context window matters more.
Pricing data updated:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick Rnj 1 Instruct for lower cost; pick GPT-5.4 Mini 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 $3 for GPT-5.4 Mini, saving $2.77 (92.5% lower).
Cost-first pickRnj 1 Instruct
Context-first pickGPT-5.4 Mini
Sample savings$2.7792.5%
10x traffic gap$27.75
GPT-5.4 Mini has more context, but Rnj 1 Instruct saves $2.77 on the standard workload. At 10x that traffic, the same price gap is about $27.75. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Rnj 1 Instruct stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | GPT-5.4 Mini | Rnj 1 Instruct |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Rnj 1 Instruct | $6 | $0.82 |
| Balanced workload | 1M input + 1M output | Rnj 1 Instruct | $5.25 | $0.3 |
| Output-heavy chatbot | 1M input + 5M output | Rnj 1 Instruct | $23.25 | $0.9 |
Rnj 1 Instruct is $4.35 cheaper per 1M output tokens (96.7% lower; 30x difference).
GPT-5.4 Mini has 367.23K more context (12.2x larger).
Rnj 1 Instruct is $2.77 cheaper on the standard workload (92.5% lower).
Estimate your workload cost
Your Workload Cost
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
Rnj 1 Instruct has the lower input price; Rnj 1 Instruct has the lower output price; GPT-5.4 Mini 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 $3 for GPT-5.4 Mini and $0.22 for Rnj 1 Instruct.
Choose GPT-5.4 Mini 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.
- On the standard 1M input plus 500K output workload, Rnj 1 Instruct is estimated at $0.22 vs $3 for GPT-5.4 Mini, saving $2.77 (92.5% lower).
- Rnj 1 Instruct is $2.77 cheaper on the standard workload (92.5% lower).
- Rnj 1 Instruct is $0.6 cheaper per 1M input tokens (80% lower; 5x difference).
- Rnj 1 Instruct is $4.35 cheaper per 1M output tokens (96.7% lower; 30x difference).
- GPT-5.4 Mini has 367.23K more context (12.2x larger).
| Feature | GPT-5.4 Mini (OpenAI) | Rnj 1 Instruct (EssentialAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.75 | $0.15 |
| Completion Price per 1M tokens | $4.5 | $0.15 |
| Sample Workload Cost 1M input + 500K output | $3 | $0.22 |
| Context Window | 400K | 32.77K |
| Release Date |
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 $3 for GPT-5.4 Mini, saving $2.77 (92.5% 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 | GPT-5.4 Mini | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace GPT-5.4 Mini when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace GPT-5.4 Mini when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace GPT-5.4 Mini when lower sample workload cost matters most: $0.1.
- gpt-oss-120b can replace GPT-5.4 Mini when lower sample workload cost matters most: $0.13.
- 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.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
Find models with larger context windows for RAG, long documents, and codebase review.
Open largest context modelsProvider catalogs
Compare models within provider hubs before choosing a final API vendor.
Open provider hubsOpenAI catalog
Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.
Open OpenAI modelsEssentialAI catalog
Check other EssentialAI models with comparable pricing, context, or release timing.
Open EssentialAI modelsGPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding,...
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...