MiniMax · Open weights
MiniMax M2.5
MiniMax M2.5 is a productivity-focused flagship model that builds on M2.1 with stronger coding and real-world office workflow performance (Word, Excel, PowerPoint), plus better tool-use planning and token efficiency.
- Reasoning
- Tools
- Structured output
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.27
- Output
- $1.08
- Cache read
- $0.027
Reference prices as published by the model provider. API example
Specifications
- Context window
- 204.8K
- Max output
- 131.1K
- Average output (7 days)
- 653 tokens
- Longer than 58% of 465 models
Side by side
MiniMax M2.5 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| MiniMax M2.5MiniMaxThis model | GPT 5OpenAIRemove | |
|---|---|---|
| Provider | MiniMax | OpenAI |
| Discovery tier | Open weights | Frontier |
| Added | Feb 12, 2026 | Aug 7, 2025 |
| Limits | ||
| Context window | 204.8K | 400KBest |
| Max output | 131.07KBest | 128K |
| Average output | 653 tokens | 411 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.27Best | $1.25 |
| Output | $1.08Best | $10.00 |
| Cache read | $0.027Best | $0.13 |
| Performance | ||
| Throughput | 110.4 tok/s | — |
| Time to first token | 1.8 s | — |
| Request success (24h) | 100.0% | — |
| Benchmark indexes | ||
| Intelligence Index | 22.8 | 23.0Best |
| Coding Index | — | 37.8 |
| Math Index | — | 94.3 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | No | Yes |
| Structured output | Yes | Yes |
| PDF input | No | Yes |
| Reasoning effort | — | minimal, low, medium, high |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- MiniMax M2.5
- GPT 5
Intelligence Index
- MiniMax M2.522.8
- GPT 523.0
MiniMax M2.5: Better than 55% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- MiniMax M2.5: —
- GPT 5: 37.8
Math Index
Composite of the math evaluations
- MiniMax M2.5: —
- GPT 5: 94.3
Agentic work
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- MiniMax M2.5: —
- GPT 5: 918 Elo
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- MiniMax M2.5: 73.3%
- GPT 5: 78.2%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- MiniMax M2.5: 20.5%
- GPT 5: 28.5%Top
GPQA Diamond
Graduate-level science questions
- MiniMax M2.5: 84.8%
- GPT 5: 85.4%Top
MMLU-Pro
Multi-subject knowledge and reasoning
- MiniMax M2.5: —
- GPT 5: 87.1%
IFBench
Following precise output instructions
- MiniMax M2.5: 71.6%
- GPT 5: 73.1%Top
Coding
LiveCodeBench
Recent competitive programming problems
- MiniMax M2.5: —
- GPT 5: 84.6%
Math
AIME 2025
Competition mathematics, 2025 problems
- MiniMax M2.5: —
- GPT 5: 94.3%
AIME
Competition mathematics
- MiniMax M2.5: —
- GPT 5: 95.7%
MATH-500
Competition math problems
- MiniMax M2.5: —
- GPT 5: 99.4%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- MiniMax M2.5: 34.8%Top
- GPT 5: 32.6%
τ²-Bench Telecom
Tool use in a customer-support simulation
- MiniMax M2.5: 95.3%Top
- GPT 5: 84.8%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- MiniMax M2.5: 73.3%
- GPT 5: 78.2%Top
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- MiniMax M2.5
- GPT 5
| Leaderboard | MiniMax M2.5 | GPT 5 |
|---|---|---|
| Vision Style Control · Captioning | Not in top 20 | #11 · 1196.0 |
| Vision Style Control · Entity Recognition | Not in top 20 | #4 · 1261.5 |
Ranks among Noumen catalog models on LMArena leaderboards. Only top-20 placements are listed.LMArena
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.
- Throughput
- 110.4 tok/s
- Faster than 65% of 251 models
- Time to first token
- 1.8 s
- Quicker than 80% of 251 models
- Prompt cache hits
- 2.9%
- About $0.26 per 1M input tokens with caching
- Request success (24h)
- 100.0%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- 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-m2.5",
"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-m2.5",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)MiniMax
Related models
Other MiniMax models, starting with the same family.