MiniMax M3 with Jev
MiniMax M3 is a model from MiniMax, released 2026-05-31. It costs $0.300 per million input tokens and $1.20 per million output tokens, reads up to 1.05M tokens of context, and writes up to 512,000 tokens in one reply. Through llm11, set model to minimax/minimax-m3.
- Input price
- $0.300 / 1M
- Output price
- $1.20 / 1M
- Context window
- 1.05M tokens
- Max output
- 512K tokens
- Cached input
- $0.060 / 1M
- Released
- 2026-05-31
- Accepts
- text, image, video
- Intelligence index
- 29.2
Read from the provider's prompt cache
Artificial Analysis, via the catalogue
Read from the live catalogue and refreshed daily. At blended list price, 58% of the 332 priced models we can call cost more.
Using MiniMax M3 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 M3 does the answering when Jev sends it work, or when you name it yourself. At list price MiniMax M3 falls in the llm11-balanced band, but no pack routes to it because MiniMax is not one of the labs the packs draw from. You can still pin it: pass minimax/minimax-m3 as model and routing steps aside while verification still runs.
Jev is new, so we have not published results for MiniMax M3 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 | $0.00039 | $0.390 |
| Question over retrieved documents | 4,000 / 500 | $0.00180 | $1.80 |
| Long document summary | 30,000 / 1,000 | $0.010 | $10.20 |
Cheaper models to try
Nearest in price and below MiniMax M3, each within a few points of it on the intelligence index.
| Model | Input / 1M | Output / 1M | Context | Index | Released |
|---|---|---|---|---|---|
| OpenAI GPT-5.6 Luna | $0.200 | $1.20 | 1.05M | 37.3 | |
| OpenAI GPT-6 Luna | $0.100 | $0.500 | 1.05M | 37.3 | |
| 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 |
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-m3",
messages=[{"role": "user", "content": "Hello"}],
)More from MiniMax
| Model | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|
| 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 | |
| MiniMax M1 | $0.400 | $2.20 | 1M |
Questions
- What is MiniMax M3 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 M3 does the answering when Jev sends it work, or when you name it yourself. At list price MiniMax M3 falls in the llm11-balanced band, but no pack routes to it because MiniMax is not one of the labs the packs draw from. You can still pin it: pass minimax/minimax-m3 as model and routing steps aside while verification still runs. Routing decisions are made by Jev, TypeSafe AI's System One model.
- Is MiniMax M3 a System One model?
- No. MiniMax M3 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 M3 cost?
- $0.300 per million input tokens and $1.20 per million output tokens. A 4,000 token prompt with a 500 token answer costs about $0.00180, so a thousand of them is about $1.80. llm11 passes provider list price through and charges 5% when you buy credits.
- What is the MiniMax M3 context window?
- 1,048,576 tokens, with up to 512,000 tokens in a single reply.
- Does MiniMax M3 support tool calling and structured output?
- The catalogue lists tool calling, structured output and reasoning controls.
- Can I use MiniMax M3 through llm11?
- Yes. Set model to minimax/minimax-m3 on the OpenAI-compatible endpoint and the request goes to it directly, with verification still running.
- Does Jev route to MiniMax M3?
- Routing decisions are made by Jev, TypeSafe AI's System One model. At list price MiniMax M3 falls in the llm11-balanced band, but no pack routes to it because MiniMax is not one of the labs the packs draw from. You can still pin it: pass minimax/minimax-m3 as model and routing steps aside while verification still runs.
- What is a cheaper alternative to MiniMax M3?
- Nearest in price and below it: OpenAI GPT-5.6 Luna at $0.200 in and $1.20 out, OpenAI GPT-6 Luna at $0.100 in and $0.500 out and DeepSeek DeepSeek V4 Flash 0423 at $0.076 in and $0.153 out. Nearest in price and below MiniMax M3, each within a few points of it on the intelligence index.