Short answer
MiniMax M3 (MiniMax-M3) is the model MiniMax released on June 1, 2026, built for coding and agent work, with a context window of up to 1 million tokens, native image and video input, and open weights. MiniMax's standard price is $0.30 per million input tokens and $1.20 per million output tokens (listed as a "permanent 50% off" the $0.60 / $2.40 base price), with cache reads at $0.06. On TeamoRouter it is available under the same model ID at half of MiniMax's price at the time of writing: $0.15 input / $0.60 output, cache reads $0.03, on one key and one balance shared with Claude, GPT and Gemini.
Model ID, list price and curl examples: MiniMax M3 API.
Specs at a glance
From MiniMax's website and platform docs:
| MiniMax M3 | |
|---|---|
| Model ID | MiniMax-M3 |
| Released | June 1, 2026 |
| Context | Up to 1M tokens (512K guaranteed minimum) |
| Attention | MSA (MiniMax Sparse Attention); MiniMax says per-token compute at 1M context is 1/20 of the previous generation |
| Input | Text, images and video; MiniMax says it can operate a desktop computer |
| Thinking | Can be switched on or off; both modes cost the same per token |
| Open weights | Published on Hugging Face on June 2 (MiniMaxAI/MiniMax-M3, about 427B parameters) |
Pricing
Per 1 million tokens, standard tier:
| MiniMax | TeamoRouter | |
|---|---|---|
| Input (≤512K tokens) | $0.30 | $0.15 |
| Output (≤512K tokens) | $1.20 | $0.60 |
| Cache read | $0.06 | $0.03 |
| Requests with more than 512K input tokens | $0.60 input, $2.40 output | $0.30 input, $1.20 output |
MiniMax also has a priority tier (service_tier=priority, scheduled first under high load) at $0.45 / $1.80 up to 512K. TeamoRouter prices are at the time of writing; the current numbers are on the pricing page.
MiniMax also sells a monthly Token Plan; at launch it was Plus $20/month for about 1.7B tokens, Max $50 for about 5.1B and Ultra $120 for about 9.8B. If MiniMax is the only model you use and you use a lot of it, the official plan is far cheaper than pay-as-you-go, so buy that instead.
When TeamoRouter makes sense: you pay as you go below Token Plan volumes, where TeamoRouter's per-token price is half of MiniMax's; you already use Claude, GPT or DeepSeek and want MiniMax on the same key and bill; you want to switch models in Claude Code, Cline or Cherry Studio without opening another account; or you want to pay by card.
MiniMax's published benchmarks
These are MiniMax's own numbers from launch. The comparison models at the time were Claude Opus 4.7 and GPT-5.5; both labs have shipped a newer generation since.
| Benchmark | MiniMax M3 |
|---|---|
| SWE-Bench Pro | 59.0% |
| Terminal-Bench 2.1 | 66.0% |
| MCP Atlas | 74.2% |
| BrowseComp | 83.5 (MiniMax lists Opus 4.7 at 79.3) |
MiniMax also showed two long-running tasks: reproducing an ICLR 2025 Outstanding Paper on its own over nearly 12 hours, and optimizing an FP8 matrix-multiply kernel on Hopper GPUs over about 24 hours (147 benchmark submissions, 1,959 tool calls, hardware utilization from 7.6% to 71.3%). These are vendor tests, so compare it on your own tasks.
Call it through TeamoRouter
from openai import OpenAI
client = OpenAI(base_url="https://api.teamorouter.cn/v1", api_key="YOUR_KEY")
resp = client.chat.completions.create(
model="MiniMax-M3",
messages=[{"role": "user", "content": "Find the race condition in this code: ..."}],
)
print(resp.choices[0].message.content)
Full reference: API integration.
Paying for usage
No subscription: you top up a balance from $5 and pay only for the tokens you use, by card.
FAQ
How does M3 relate to M3.1 Flash? M3.1 Flash is a smaller model MiniMax released on October 19, priced at $0.15 / $0.60, cheaper and faster; M3 is the flagship. TeamoRouter offers both: M3.1 Flash is minimax-m3.1-flash at $0.075 / $0.30 at the time of writing, also half of MiniMax's price.
Does thinking mode cost more per token? No, both modes have the same price; thinking uses more output tokens.
Do I need a MiniMax account? Not with TeamoRouter. One key covers MiniMax, Claude, GPT, Gemini and DeepSeek.
Related
- Qwen3.8-Max API
- Grok 4.7 API
- DeepSeek V4.1 Flash 1017 API