MiniMax-01 with Jev
MiniMax-01 is a model from MiniMax, released 2025-01-15. It costs $0.200 per million input tokens and $1.10 per million output tokens, reads up to 1M tokens of context, and writes up to 900,172 tokens in one reply. Through llm11, set model to minimax/minimax-01.
- Input price
- $0.200 / 1M
- Output price
- $1.10 / 1M
- Context window
- 1M tokens
- Max output
- 900K tokens
- Released
- 2025-01-15
- Accepts
- text, image
Read from the live catalogue and refreshed daily. At blended list price, 64% of the 332 priced models we can call cost more.
Using MiniMax-01 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. MiniMax-01 does the answering when Jev sends it work, or when you name it yourself. At list price MiniMax-01 falls in the llm11-fast band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass minimax/minimax-01 as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for MiniMax-01 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 | $0.00032 | $0.320 |
| Question over retrieved documents | 4,000 / 500 | $0.00135 | $1.35 |
| Long document summary | 30,000 / 1,000 | $0.00710 | $7.10 |
Cheaper models to try
The catalogue has no benchmark score for MiniMax-01, so this is a price ordering. It does not claim these answer as well.
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| DeepSeek DeepSeek V3.1 | $0.250 | $0.950 | 164K | |
| Qwen Qwen3.6 Flash | $0.188 | $1.13 | 1M | |
| Qwen Qwen3 Next 80B A3B Thinking | $0.150 | $1.20 | 262K | |
| Meta Llama 3.1 70B Instruct | $0.400 | $0.400 | 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="minimax/minimax-01",
messages=[{"role": "user", "content": "Hello"}],
)More from MiniMax
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| MiniMax M3 | $0.300 | $1.20 | 1.05M | |
| MiniMax M2.7 | $0.210 | $0.840 | 205K | |
| MiniMax M2.5 | $0.270 | $1.08 | 205K | |
| MiniMax M2-her | $0.300 | $1.20 | 66K | |
| MiniMax M2.1Retires 2026-10-08 | $0.300 | $1.20 | 205K | |
| MiniMax M2 | $0.300 | $1.20 | 205K |
Questions
- What is MiniMax-01 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. MiniMax-01 does the answering when Jev sends it work, or when you name it yourself. At list price MiniMax-01 falls in the llm11-fast band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass minimax/minimax-01 as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is MiniMax-01 a System One model?
- No. MiniMax-01 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 MiniMax-01 cost?
- $0.200 per million input tokens and $1.10 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00135, so a thousand of them is about $1.35. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the MiniMax-01 context window?
- 1,000,192 tokens, with up to 900,172 tokens in a single reply.
- Does MiniMax-01 support tool calling and structured output?
- The catalogue does not list tool calling, structured output and reasoning controls.
- Can I use MiniMax-01 through llm11?
- Yes. Set model to minimax/minimax-01 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to MiniMax-01?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price MiniMax-01 falls in the llm11-fast band, but no pack routes to it because it does not advertise structured output, which the verification checks rely on. You can still pin it: pass minimax/minimax-01 as model and routing steps aside while verification still runs.
- What is a cheaper alternative to MiniMax-01?
- Nearest in price and below it: DeepSeek DeepSeek V3.1 at $0.250 in and $0.950 out, Qwen Qwen3.6 Flash at $0.188 in and $1.13 out and Qwen Qwen3 Next 80B A3B Thinking at $0.150 in and $1.20 out. The catalogue has no benchmark score for MiniMax-01, so this is a price ordering. It does not claim these answer as well.