Reka Edge with Jev
Reka Edge is a model from rekaai, released 2026-03-20. It costs $0.100 per million input tokens and $0.100 per million output tokens, reads up to 16K tokens of context, and writes up to 14,745 tokens in one reply. Through llm11, set model to rekaai/reka-edge.
- Input price
- $0.100 / 1M
- Output price
- $0.100 / 1M
- Context window
- 16K tokens
- Max output
- 15K tokens
- Released
- 2026-03-20
- Accepts
- image, text, video
Read from the live catalogue and refreshed daily. At blended list price, 90% of the 332 priced models we can call cost more.
Using Reka Edge 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. Reka Edge does the answering when Jev sends it work, or when you name it yourself. At list price Reka Edge falls in the llm11-fast band, but no pack routes to it because its context window is under 32K tokens, the floor for pack members. You can still pin it: pass rekaai/reka-edge as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for Reka Edge 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 | $0.00007 | $0.070 |
| Question over retrieved documents | 4,000 / 500 | $0.00045 | $0.450 |
| Long document summary | 30,000 / 1,000 | $0.00310 | $3.10 |
Cheaper models to try
The catalogue has no benchmark score for Reka Edge, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| DeepSeek DeepSeek V4 Flash 0423 | $0.076 | $0.153 | 1.05M | |
| DeepSeek DeepSeek V4 Flash 0731 | $0.018 | $0.320 | 1.31M | |
| Qwen Qwen3 30B A3B Instruct 2507 | $0.048 | $0.193 | 262K | |
| Google Gemma 3 12B | $0.050 | $0.150 | 131K |
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="rekaai/reka-edge",
messages=[{"role": "user", "content": "Hello"}],
)More from rekaai
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| Reka Flash 3 | $0.100 | $0.200 | 66K |
Questions
- What is Reka Edge 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. Reka Edge does the answering when Jev sends it work, or when you name it yourself. At list price Reka Edge falls in the llm11-fast band, but no pack routes to it because its context window is under 32K tokens, the floor for pack members. You can still pin it: pass rekaai/reka-edge as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is Reka Edge a System One model?
- No. Reka Edge 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 Reka Edge cost?
- $0.100 per million input tokens and $0.100 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00045, so a thousand of them is about $0.450. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the Reka Edge context window?
- 16,384 tokens, with up to 14,745 tokens in a single reply.
- Does Reka Edge support tool calling and structured output?
- The catalogue lists tool calling and structured output, but it does not list reasoning controls.
- Can I use Reka Edge through llm11?
- Yes. Set model to rekaai/reka-edge on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to Reka Edge?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price Reka Edge falls in the llm11-fast band, but no pack routes to it because its context window is under 32K tokens, the floor for pack members. You can still pin it: pass rekaai/reka-edge as model and routing steps aside while verification still runs.
- What is a cheaper alternative to Reka Edge?
- 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 Qwen Qwen3 30B A3B Instruct 2507 at $0.048 in and $0.193 out. The catalogue has no benchmark score for Reka Edge, so this is a price ordering. It does not claim these answer as well.