MiniMax M2.7 (free) API: toman pricing and code
minimax/minimax-m2.7:free
Free · shared capacitytoolsreasoningjsonYou are billed for the usage the request actually reported. Prices follow the market.Pricing and top-ups
MiniMax M2.7 (free) example: a multi-step problem with reasoning
The example is picked from this model's own capabilities. Drop in your key and it runs as is.
from openai import OpenAI
client = OpenAI(base_url="https://api.uttapen.ir/v1", api_key="sk-up-…")
resp = client.chat.completions.create(
model="minimax/minimax-m2.7:free",
messages=[{"role": "user", "content": (
"A shop has 3 warehouses. A ships 120 orders a day, B ships 85 and C ships 40. "
"If C closes and its load is split between A and B in proportion to their capacity, how many does each ship a day? "
"Work through it step by step and give just the two numbers at the end."
)}],
reasoning_effort="medium", # low | medium | high
)
print(resp.choices[0].message.content)
# reasoning tokens count as output tokens too:
print(resp.usage.completion_tokens_details)curl https://api.uttapen.ir/v1/chat/completions \
-H "Authorization: Bearer sk-up-…" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax/minimax-m2.7:free",
"messages": [{"role": "user", "content": "120 and 85 daily orders split across two warehouses; work through it step by step."}],
"reasoning": {"effort": "medium"}
}'import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.uttapen.ir/v1", apiKey: "sk-up-…" });
const resp = await client.chat.completions.create({
model: "minimax/minimax-m2.7:free",
messages: [{ role: "user", content: "120 and 85 daily orders are split between two warehouses; work through it step by step and give just the two numbers at the end." }],
reasoning_effort: "medium",
});
console.log(resp.choices[0].message.content);
console.log(resp.usage.completion_tokens_details);What is MiniMax M2.7 (free) good for?
MiniMax M2.7 (free) is one of MiniMax's models. Put "minimax/minimax-m2.7:free" in the model field and the rest of your code stays as it is. MiniMax M2.7 (free) keeps 196,608 tokens in view at once, and that number is what caps the conversation history in your product. A single response can run to 176,947 tokens. It is free: nothing leaves your wallet. The capacity is shared across all users and there is a daily cap per account, so treat it as a testing lane rather than a production dependency.
What you get on top of text in, text out: it supports tool calling, so it can invoke your own functions with valid arguments; it returns schema-valid JSON through response_format, ready to hand to your code; it has a reasoning mode that pays off on multi-step problems, maths and debugging. All of it works through the standard parameters of the official OpenAI SDK — no custom client, no wrapper. Keep in mind that reasoning tokens are output tokens and do appear on the bill.
Input runs at 0 toman per 1M tokens and output at 0 — output costs 0× input, so trimming the answer saves more than trimming the prompt. You are always charged for the usage the request actually reported, never for the estimate, and a failed request costs nothing.
The closest alternative with the same capabilities from a different provider is North Mini Code (free), and its context window is smaller. Both run on the same key and the same code, so trying the other one is a single string change.
This id gets confused with "minimax/minimax-m2.7", because the underlying model is the same. The difference is the suffix: "free" against the standard variant. The context windows differ too: 196,608 against 204,800 tokens. Maximum answer length differs as well: 176,947 against 131,072 tokens. On parameters the other takes frequency_penalty, logit_bias, logprobs, min_p.
MiniMax has 11 models in our catalogue; the cheapest is MiniMax M2 at 481 toman per thousand words and the dearest MiniMax M1 at 1,037. It does not support structured_outputs, which most models here do, so test before switching if your code relies on them. By context size the nearest option from another provider is Claude 3 Haiku at 200,000 tokens.
Where it makes sense: proving an idea works before you spend anything, logic puzzles and code review, agents that reach out to APIs and databases, extracting data against a fixed schema.
MiniMax-M2.7 is a next-generation large language model designed for autonomous, real-world productivity and continuous improvement. Built to actively participate in its own evolution, M2.7 integrates advanced agentic capabilities through multi-agent...
Three real jobs, priced on this model
Each figure is derived from the prices above and moves when they do.
| Job | Tokens | Cost |
|---|---|---|
| One chat turn with a medium history | 1,500 in + 400 out | 0 toman |
| Summarising a ten-page document | 4,000 in + 600 out | 0 toman |
| Classifying a thousand short rows | 120,000 in + 20,000 out | 0 toman |
Other variants of this model
Same core model, different execution terms and different price. This page is the free variant.
| Variant | Model id | Output / 1M | Context |
|---|---|---|---|
| standard | minimax/minimax-m2.7 | 348,150 | 204,800 |
Put the variant's id verbatim in the model field; nothing else in your code changes.
Frequently asked
- How do I call MiniMax M2.7 (free) from Iran?
- Sign up with your mobile number, top the wallet up in toman, create an API key, then in the official OpenAI SDK point base_url at https://api.uttapen.ir/v1 and set model to "minimax/minimax-m2.7:free". Nothing else in your code changes.
- What does MiniMax M2.7 (free) cost in toman?
- 0 toman per 1M input tokens and 0 toman per 1M output tokens; a 1,000-word request is around 0 toman. You pay for the usage that request actually reported, and a failed request costs nothing.
- How much input does MiniMax M2.7 (free) take?
- Up to 196,608 tokens per request, roughly 147k words. A single answer can reach 176,947 tokens.
- Does MiniMax M2.7 (free) support streaming and tool calling?
- Streaming (stream=true) works on every model here. This one supports tool calling in the standard OpenAI shape. Structured output through response_format works too.
- What are the limits on a free model?
- Free models have a daily per-user cap and their capacity is shared with everyone else. When the shared pool is exhausted the request is refused with a clear error and your wallet is untouched.