gpt-oss-120b is $0.11 cheaper per 1M input tokens (74% lower; 3.85x difference).
API cost decision in 10 seconds
🔥gpt-oss-120b vs Rnj 1 Instruct
Pick gpt-oss-120b when budget and context both matter.
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Data confirmed:
Prices normalized to USD per 1M tokens
Sample workload: 1M input + 500K output
Budget verdict
Pick gpt-oss-120b when budget and context both matter.
On the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $0.22 for Rnj 1 Instruct, saving $0.1 (42.7% lower).
Cost-first pickgpt-oss-120b
Context-first pickgpt-oss-120b
Sample savings$0.142.7%
10x traffic gap$0.96
gpt-oss-120b is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.96. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Cost winner changes by workload shape: input-heavy / RAG favors gpt-oss-120b, balanced workload favors gpt-oss-120b, and output-heavy chatbot favors Rnj 1 Instruct.
| Workload shape | Token mix | Better pick | gpt-oss-120b | Rnj 1 Instruct |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | gpt-oss-120b | $0.29 | $0.82 |
| Balanced workload | 1M input + 1M output | gpt-oss-120b | $0.22 | $0.3 |
| Output-heavy chatbot | 1M input + 5M output | Rnj 1 Instruct | $0.94 | $0.9 |
Rnj 1 Instruct is $0.03 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
gpt-oss-120b has 98.3K more context (4x larger).
gpt-oss-120b is $0.1 cheaper on the standard workload (42.7% 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
gpt-oss-120b has the lower input price; Rnj 1 Instruct has the lower output price; gpt-oss-120b offers the larger context window. For the 1M input plus 500K output sample, gpt-oss-120b is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.13 for gpt-oss-120b and $0.22 for Rnj 1 Instruct.
Choose gpt-oss-120b when you care most about lower input-token price, and larger context window.
Choose Rnj 1 Instruct when you care most about lower output-token price.
- On the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $0.22 for Rnj 1 Instruct, saving $0.1 (42.7% lower).
- gpt-oss-120b is $0.1 cheaper on the standard workload (42.7% lower).
- gpt-oss-120b is $0.11 cheaper per 1M input tokens (74% lower; 3.85x difference).
- Rnj 1 Instruct is $0.03 cheaper per 1M output tokens (16.7% lower; 1.2x difference).
- gpt-oss-120b has 98.3K more context (4x larger).
| Feature | 🔥gpt-oss-120b (OpenAI) | Rnj 1 Instruct (EssentialAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.039 | $0.15 |
| Completion Price per 1M tokens | $0.18 | $0.15 |
| Sample Workload Cost 1M input + 500K output | $0.13 | $0.22 |
| Context Window | 131.07K | 32.77K |
| Release Date | ||
| Popularity | #20 |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | gpt-oss-120b | On the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $0.22 for Rnj 1 Instruct, saving $0.1 (42.7% lower). |
| High-volume input processing | gpt-oss-120b | 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-oss-120b | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- gpt-oss-120b (free) can replace gpt-oss-120b when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace gpt-oss-120b when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace gpt-oss-120b when lower sample workload cost matters most: $0.1.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Owl Alpha offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
- DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.
- DeepSeek V4 Flash · DeepSeek · #1
- Hy3 preview · Tencent · #2
- Claude Opus 4.7 · Anthropic · #3
- Claude Sonnet 4.6 · Anthropic · #4
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Open EssentialAI modelsgpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...
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...