MiniMax · Balanced
MiniMax M1 80K
MiniMax-M1 with 80K thinking budget. Enhanced version of the hybrid MoE reasoning model with double the thinking capacity. Ideal for extremely complex software engineering, tool use, and long context tasks.
- Input
- Text
- Output
- Text
- Discovery tier
- Balanced
Pricing
USD per 1M tokens- Input
- $0.61
- Output
- $2.42
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 131.1K
Side by side
MiniMax M1 80K compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| MiniMax M1 80KMiniMaxThis model | GPT 5.4 NanoOpenAIRemove | |
|---|---|---|
| Provider | MiniMax | OpenAI |
| Discovery tier | Balanced | Efficient |
| Added | Jan 8, 2025 | Mar 17, 2026 |
| Limits | ||
| Context window | 1MBest | 400K |
| Max output | 131.07KBest | 128K |
| Average output | — | 515 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.61 | $0.20Best |
| Output | $2.42 | $1.25Best |
| Cache read | — | $0.02 |
| Performance | ||
| Request success (24h) | — | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 11.7 | 11.7 |
| Math Index | 61.0 | — |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Vision | No | Yes |
| Structured output | No | Yes |
| PDF input | No | Yes |
| Reasoning effort | — | none, low, medium, high, xhigh |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- MiniMax M1 80K
- GPT 5.4 Nano
Intelligence Index
- MiniMax M1 80K11.7
- GPT 5.4 Nano11.7
MiniMax M1 80K: Better than 26% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- MiniMax M1 80K: 61.0
- GPT 5.4 Nano: —
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- MiniMax M1 80K: 57.7%Top
- GPT 5.4 Nano: 29.7%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- MiniMax M1 80K: 8.9%Top
- GPT 5.4 Nano: 4.1%
GPQA Diamond
Graduate-level science questions
- MiniMax M1 80K: 69.7%Top
- GPT 5.4 Nano: 55.8%
MMLU-Pro
Multi-subject knowledge and reasoning
- MiniMax M1 80K: 81.6%
- GPT 5.4 Nano: —
IFBench
Following precise output instructions
- MiniMax M1 80K: 41.8%Top
- GPT 5.4 Nano: 32.7%
Coding
LiveCodeBench
Recent competitive programming problems
- MiniMax M1 80K: 71.1%
- GPT 5.4 Nano: —
Math
AIME 2025
Competition mathematics, 2025 problems
- MiniMax M1 80K: 61.0%
- GPT 5.4 Nano: —
AIME
Competition mathematics
- MiniMax M1 80K: 84.7%
- GPT 5.4 Nano: —
MATH-500
Competition math problems
- MiniMax M1 80K: 98.0%
- GPT 5.4 Nano: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- MiniMax M1 80K: 3.0%
- GPT 5.4 Nano: 24.2%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- MiniMax M1 80K: 34.2%
- GPT 5.4 Nano: 34.8%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- MiniMax M1 80K: 57.7%Top
- GPT 5.4 Nano: 29.7%
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- MiniMax M1 80K
- GPT 5.4 Nano
| Leaderboard | MiniMax M1 80K | GPT 5.4 Nano |
|---|---|---|
| FrontierMath v2 (Tiers 1–3) | Not in top 20 | #13 · 44.9% |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
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": "MiniMaxAI/MiniMax-M1-80k",
"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="MiniMaxAI/MiniMax-M1-80k",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)MiniMax
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