Rnj 1 Instruct
openrouter/rnj-1-instructОт openrouter · семейство: rnj · выпуск 2025-12-07
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Возможности
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding61
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents76
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output99
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency75
- Headline price (log-scaled)75/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Production-readiness65
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.82 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $1.65 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.38 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $1.35 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $1.89 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Детализация цен
Рекомендованная цена от openrouter · essentialai/rnj-1-instruct
Доступна у 1 провайдеров
| Провайдер | ID модели провайдера | Вход / 1M | Выход / 1M | Контекст | Выпуск |
|---|---|---|---|---|---|
| OpenRouter openrouter | essentialai/rnj-1-instruct | $0.150 | $0.150 | 33K | 2025-12-07 |
Frequently asked questions
How much does Rnj 1 Instruct cost?
Rnj 1 Instruct costs $0.150 per 1M input tokens and $0.150 per 1M output tokens, sourced from openrouter. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Rnj 1 Instruct?
Rnj 1 Instruct has a context window of 33K tokens, with a max output of 33K tokens per reply. This is the total combined size of prompt + completion.
Does Rnj 1 Instruct support tool calling?
Yes. Rnj 1 Instruct supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Rnj 1 Instruct support structured output / JSON mode?
Yes. Rnj 1 Instruct supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Rnj 1 Instruct accept image input?
No. Rnj 1 Instruct only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Rnj 1 Instruct open-weight?
Yes. Rnj 1 Instruct's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Rnj 1 Instruct?
If Rnj 1 Instruct doesn't fit, consider INTELLECT-3, LFM2-24B-A2B, LFM2.5-1.2B-Thinking (free). Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More openrouter models
- INTELLECT-3$0.20 in / $1.10 out
- LFM2-24B-A2B$0.03 in / $0.12 out
- LFM2.5-1.2B-Thinking (free)Unknown pricing
- LFM2.5-1.2B-Instruct (free)Unknown pricing
- ReMM SLERP 13B$0.45 in / $0.65 out
Capability lists this model is in
Последнее обновление:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.