Granite 4.1 8B is $0.02 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
API cost decision in 10 seconds
NewGranite 4.1 8B vs gpt-oss-safeguard-20b
Pick Granite 4.1 8B when budget is the priority.
Budget verdict
Pick Granite 4.1 8B when budget is the priority.
On the standard 1M input plus 500K output workload, Granite 4.1 8B is estimated at $0.1 vs $0.22 for gpt-oss-safeguard-20b, saving $0.12 (55.6% lower).
The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $1.25. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
Granite 4.1 8B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | Granite 4.1 8B | gpt-oss-safeguard-20b |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | Granite 4.1 8B | $0.3 | $0.53 |
| Balanced workload | 1M input + 1M output | Granite 4.1 8B | $0.15 | $0.38 |
| Output-heavy chatbot | 1M input + 5M output | Granite 4.1 8B | $0.55 | $1.57 |
Granite 4.1 8B is $0.2 cheaper per 1M output tokens (66.7% lower; 3x difference).
Both models report the same context window at 131.07K tokens.
Granite 4.1 8B is $0.12 cheaper on the standard workload (55.6% 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
Granite 4.1 8B has the lower input price; Granite 4.1 8B has the lower output price; both models report the same context window. For the 1M input plus 500K output sample, Granite 4.1 8B is cheaper for the standard workload.
For a 1M input token plus 500K output token workload, the estimated API cost is $0.1 for Granite 4.1 8B and $0.22 for gpt-oss-safeguard-20b.
Choose Granite 4.1 8B when you care most about lower input-token price, and lower output-token price.
Choose gpt-oss-safeguard-20b when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, Granite 4.1 8B is estimated at $0.1 vs $0.22 for gpt-oss-safeguard-20b, saving $0.12 (55.6% lower).
- Granite 4.1 8B is $0.12 cheaper on the standard workload (55.6% lower).
- Granite 4.1 8B is $0.02 cheaper per 1M input tokens (33.3% lower; 1.5x difference).
- Granite 4.1 8B is $0.2 cheaper per 1M output tokens (66.7% lower; 3x difference).
- Both models report the same context window at 131.07K tokens.
| Feature | NewGranite 4.1 8B (IBM) | gpt-oss-safeguard-20b (OpenAI) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.05 | $0.075 |
| Completion Price per 1M tokens | $0.1 | $0.3 |
| Sample Workload Cost 1M input + 500K output | $0.1 | $0.22 |
| Context Window | 131.07K | 131.07K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | Granite 4.1 8B | On the standard 1M input plus 500K output workload, Granite 4.1 8B is estimated at $0.1 vs $0.22 for gpt-oss-safeguard-20b, saving $0.12 (55.6% lower). |
| High-volume input processing | Granite 4.1 8B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | Granite 4.1 8B | 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
- Granite 4.0 Micro can replace Granite 4.1 8B when lower sample workload cost matters most: $0.07.
- gpt-oss-120b (free) can replace gpt-oss-safeguard-20b when lower sample workload cost matters most: $0.
- gpt-oss-20b (free) can replace gpt-oss-safeguard-20b when lower sample workload cost matters most: $0.
- gpt-oss-20b can replace gpt-oss-safeguard-20b 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
Cheaper alternatives
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Open OpenAI modelsGranite 4.1 8B is a dense, decoder-only 8-billion-parameter language model from IBM, part of the Granite 4.1 family. It supports a 131K-token context window and is designed for enterprise tasks...
gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...