MiniMax · Open weights
MiniMax M2
MiniMax M2 offers enhanced reasoning and strong general performance. Optimized for coding and agentic workflows.
- Reasoning
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.17
- Output
- $1.53
Reference prices as published by the model provider. API example
Specifications
- Context window
- 200K
- Max output
- 131.1K
Side by side
MiniMax M2 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| MiniMax M2MiniMaxThis model | Nvidia Nemotron 3 Nano 30BnvidiaRemove | |
|---|---|---|
| Provider | MiniMax | nvidia |
| Discovery tier | Open weights | Open weights |
| Added | Jan 12, 2025 | Mar 1, 2026 |
| Limits | ||
| Context window | 200K | 262.14KBest |
| Max output | 131.07K | — |
| Average output | — | 564 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.17 | $0.17 |
| Output | $1.53 | $0.68Best |
| Performance | ||
| Request success (24h) | 90.3% | 100.0%Best |
| Benchmark indexes | ||
| Intelligence Index | — | 6.8 |
| Math Index | — | 13.3 |
| Capabilities | ||
| Reasoning | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- MiniMax M2
- Nvidia Nemotron 3 Nano 30B
Intelligence Index
- MiniMax M2—
- Nvidia Nemotron 3 Nano 30B6.8
Indexes
Math Index
Composite of the math evaluations
- MiniMax M2: —
- Nvidia Nemotron 3 Nano 30B: 13.3
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- MiniMax M2: —
- Nvidia Nemotron 3 Nano 30B: 10.7%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- MiniMax M2: —
- Nvidia Nemotron 3 Nano 30B: 4.6%
GPQA Diamond
Graduate-level science questions
- MiniMax M2: —
- Nvidia Nemotron 3 Nano 30B: 39.9%
MMLU-Pro
Multi-subject knowledge and reasoning
- MiniMax M2: —
- Nvidia Nemotron 3 Nano 30B: 57.9%
IFBench
Following precise output instructions
- MiniMax M2: —
- Nvidia Nemotron 3 Nano 30B: 37.5%
Coding
LiveCodeBench
Recent competitive programming problems
- MiniMax M2: —
- Nvidia Nemotron 3 Nano 30B: 36.0%
Math
AIME 2025
Competition mathematics, 2025 problems
- MiniMax M2: —
- Nvidia Nemotron 3 Nano 30B: 13.3%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- MiniMax M2: —
- Nvidia Nemotron 3 Nano 30B: 12.1%
τ²-Bench Telecom
Tool use in a customer-support simulation
- MiniMax M2: —
- Nvidia Nemotron 3 Nano 30B: 25.4%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- MiniMax M2: —
- Nvidia Nemotron 3 Nano 30B: 10.7%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Request success (24h)
- 90.3%
- Unstable
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax/minimax-m2",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="minimax/minimax-m2",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)MiniMax
Related models
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