xiaomi · Open weights
MiMo V2.6 Flash Abliterated
A MiMo V2.6 Flash finetune with refusal-direction ablation, image input, a 1M-token context window, separate reasoning output, and tool calling.
- Reasoning
- Tools
- Vision
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- none · high
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.50
- Output
- $1.50
- Cache read
- $0.28
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 65.5K
- Average output (7 days)
- 1.3K tokens
- Longer than 80% of 465 models
Side by side
MiMo V2.6 Flash Abliterated compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| MiMo V2.6 Flash AbliteratedxiaomiThis model | Nvidia Nemotron 3 Ultra 550BnvidiaRemove | |
|---|---|---|
| Provider | xiaomi | nvidia |
| Discovery tier | Open weights | Open weights |
| Added | Sep 25, 2026 | Jun 4, 2026 |
| Limits | ||
| Context window | 1.05MBest | 1M |
| Max output | 65.54K | 65.54K |
| Average output | 1.3K tokens | 56 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.50 | $0.50 |
| Output | $1.50Best | $2.50 |
| Cache read | $0.28 | — |
| Performance | ||
| Throughput | 130.9 tok/sBest | 112.4 tok/s |
| Time to first token | 2.4 s | 1.4 sBest |
| Request success (24h) | 98.4% | 100.0%Best |
| Benchmark indexes | ||
| Intelligence Index | — | 22.9 |
| Coding Index | — | 49.3 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | Yes | Yes |
| Vision | Yes | No |
| Parallel tools | No | Yes |
| Reasoning effort | none, high | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- MiMo V2.6 Flash Abliterated
- Nvidia Nemotron 3 Ultra 550B
Intelligence Index
- MiMo V2.6 Flash Abliterated—
- Nvidia Nemotron 3 Ultra 550B22.9
Indexes
Coding Index
Composite of the coding evaluations
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 49.3
Agentic work
AutomationBench-AA
Workflow automation, penalized for guardrail violations
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 3.0%
AutomationBench-AA tasks completed
Workflows finished end to end without a guardrail violation
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 0.3%
AA-Briefcasev1.1
Agentic knowledge work, rated head to head
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 876 Elo
GDPval-AAv2.1
Economically valuable occupational tasks, rated head to head
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 1,013 Elo
Document reasoning
GDP.pdf
Professional reasoning over PDF documents, all-pass rate
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 5.0%
AA-LCRv1.1
Reasoning across long documents
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 79.3%
MLCR-AA
Long-context reasoning over medical records
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 5.6%
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 28.4%
GPQA Diamond
Graduate-level science questions
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 86.7%
IFBench
Following precise output instructions
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 81.4%
Coding
Terminal-Benchv4.0
Practical software engineering in a terminal
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 0.5%
SciCode
Scientific computing in Python
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 40.3%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 36.4%
τ²-Bench Telecom
Tool use in a customer-support simulation
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 83.3%
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- MiMo V2.6 Flash Abliterated: —
- Nvidia Nemotron 3 Ultra 550B: 79.3%
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.
- Throughput
- 130.9 tok/s
- Faster than 72% of 250 models
- Time to first token
- 2.4 s
- Quicker than 70% of 250 models
- Prompt cache hits
- 95.5%
- About $0.29 per 1M input tokens with caching
- Request success (24h)
- 98.4%
- 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": "xiaomi/mimo-v2.6-flash-abliterated",
"reasoning_effort": "none",
"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="xiaomi/mimo-v2.6-flash-abliterated",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)xiaomi
Related models
Other xiaomi models, starting with the same family.