Granite 4.2 8B with Jev
Granite 4.2 8B is a model from IBM, released 2026-08-31. It costs $0.060 per million input tokens and $0.250 per million output tokens, reads up to 131K tokens of context, and writes up to 117,964 tokens in one reply. Through llm11, set model to ibm-granite/granite-4.2-8b.
- Input price
- $0.060 / 1M
- Output price
- $0.250 / 1M
- Context window
- 131K tokens
- Max output
- 118K tokens
- Cached input
- $0.015 / 1M
- Released
- 2026-08-31
- Accepts
- text
- Intelligence index
- 11.1
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 90% of the 332 priced models we can call cost more.
Using Granite 4.2 8B with Jev
Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Granite 4.2 8B does the answering when Jev sends it work, or when you name it yourself. At list price Granite 4.2 8B falls in the llm11-fast band, but no pack routes to it because IBM is not one of the labs the packs draw from. You can still pin it: pass ibm-granite/granite-4.2-8b as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Granite 4.2 8B with and without it, and this page does not invent any. Every response comes with a receipt that names the model that answered and what it cost against your most expensive model, so you can measure the pairing on your own traffic.
What a request costs
List price arithmetic, the same sum a receipt does. llm11 adds nothing per request; the only fee is on buying credits.
| Request | Tokens in / out | One | A thousand |
|---|---|---|---|
| Short chat turn | 500 / 200 | $0.00008 | $0.080 |
| Question over retrieved documents | 4,000 / 500 | $0.00036 | $0.365 |
| Long document summary | 30,000 / 1,000 | $0.00205 | $2.05 |
Cheaper models to try
Nearest in price and below Granite 4.2 8B, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| DeepSeek DeepSeek V4 Flash 0423 | $0.076 | $0.153 | 1.05M | 24.2 | |
| DeepSeek DeepSeek V4 Flash 0731 | $0.018 | $0.320 | 1.31M | 34.3 | |
| OpenAI gpt-oss-120b | $0.037 | $0.170 | 131K | 11.6 | |
| OpenAI gpt-oss-20b | $0.018 | $0.090 | 131K | 9 |
Call it
Same OpenAI request shape. Naming the model pins it, so nothing is routed, and the answer is still checked.
python
from openai import OpenAI
client = OpenAI(base_url="https://www.llm11.com/v1", api_key="llm11_live_...")
res = client.chat.completions.create(
model="ibm-granite/granite-4.2-8b",
messages=[{"role": "user", "content": "Hello"}],
)More from IBM
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Granite 4.0 Micro | $0.017 | $0.112 | 131K |
Questions
- What is Granite 4.2 8B with Jev?
- Jev is TypeSafe AI's System One model. It reads each request first and decides which model in your pool answers, with a calibrated confidence on that call. Granite 4.2 8B does the answering when Jev sends it work, or when you name it yourself. At list price Granite 4.2 8B falls in the llm11-fast band, but no pack routes to it because IBM is not one of the labs the packs draw from. You can still pin it: pass ibm-granite/granite-4.2-8b as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Granite 4.2 8B a System One model?
- No. Granite 4.2 8B answers requests. The System One model is Jev, which decides which model answers each one, so the two do different jobs and llm11 uses both.
- How much does Granite 4.2 8B cost?
- $0.060 per million input tokens and $0.250 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00036, so a thousand of them is about $0.365. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Granite 4.2 8B context window?
- 131,072 tokens, with up to 117,964 tokens in a single reply.
- Does Granite 4.2 8B support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use Granite 4.2 8B through llm11?
- Yes. Set model to ibm-granite/granite-4.2-8b on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Granite 4.2 8B?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Granite 4.2 8B falls in the llm11-fast band, but no pack routes to it because IBM is not one of the labs the packs draw from. You can still pin it: pass ibm-granite/granite-4.2-8b as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Granite 4.2 8B?
- Nearest in price and below it: DeepSeek DeepSeek V4 Flash 0423 at $0.076 in and $0.153 out, DeepSeek DeepSeek V4 Flash 0731 at $0.018 in and $0.320 out and OpenAI gpt-oss-120b at $0.037 in and $0.170 out. Nearest in price and below Granite 4.2 8B, each within a few points of it on the intelligence index.