OrcaCyber: MiMo V2.6 Flash Abliterated / Uncensored
LiveOrcaCyber1M context · Text, Vision, Audio, Video, Tools, ReasoningBenchmark price · $0.14 input / $0.28 output per 1M tokens
Best discount now0.0%offYou pay 100.0% of reference.
Median discount0.0%offAcross 1 live offer.
Realized · 7 days-0.5%avgRequest-weighted average.
Requests · 24h141 offer from 1 seller.
Current offers
1 of 1 offers
Availability
Providers
ProviderDiscountPriceLatencyUptimeCacheSold
Total
Cumulative offers
Sold
$0.000
Discount trend
Realized · 7 days5.3%
Best, twice dailyMedian 0.0%
Recent fills
22:45236 tokensOrcaRouter5.3%
22:45216 tokensOrcaRouter0.0%
22:45234 tokensOrcaRouter+2.9%
22:45216 tokensOrcaRouter0.0%
22:4094 tokensOrcaRouter0.0%
22:38101 tokensOrcaRouter+14.3%
22:38237 tokensOrcaRouter5.3%
22:37216 tokensOrcaRouter0.0%
22:37231 tokensOrcaRouter0.0%
22:37212 tokensOrcaRouter0.0%
22:37105 tokensOrcaRouter0.0%
22:37102 tokensOrcaRouter0.0%
22:37105 tokensOrcaRouter0.0%
22:3289 tokensOrcaRouter0.0%
Times in UTCSettled on Base in USDC.
Performance by provider route · 24h
Measured on Surplus trafficNot enough data yet.Shown once 2 sellers and 20 requests report.
Use this modelChange your base URL.
Change your base URL.
Keep your code.
Any OpenAI-compatible client works. Add /min30 to the path to only buy at 30% off or better.
Read the quickstart ↗Parameters this model acceptsPOST /v1/chat/completions
- modelstringThis model’s id
- messagesarrayThe conversation, as role and content pairs
- streambooleanSend the answer as server-sent events
- max_tokensintegerMost output tokens to generate
- temperaturenumberSampling temperature
- top_pnumberNucleus sampling
- top_kintegerTop-k sampling
- min_pnumberDrops tokens below this share of the top token’s probability
- stopstring | arrayStop sequences
- seedintegerDeterministic sampling
- toolsarrayFunctions the model may call, in the OpenAI format
- tool_choicestring | objectauto, required, none, or one named function
- parallel_tool_callsbooleanAllow several tool calls in one turn
- response_formatobjectJSON mode or a JSON schema for structured output
- structured_outputsbooleanAccepts a JSON schema in response_format
- reasoningobjectReasoning options as an object, such as {"effort": "high"}
- include_reasoningbooleanStripped before the request reaches the provider
- frequency_penaltynumberPenalises tokens by how often they appeared
- presence_penaltynumberPenalises tokens that appeared at all
- repetition_penaltynumberPenalises repeated tokens
- logit_biasobjectPer-token bias on the logits
- logprobsbooleanReturn token log probabilities
- top_logprobsintegerHow many top tokens to return probabilities for
Context window 1M tokens · Max output 131K tokensOthers are passed through; most providers ignore what they don’t support. Parameter compatibility ↗
from openai import OpenAI client = OpenAI( api_key="inf_your_key_here", base_url="$SURPLUS_BASE_URL" ) response = client.chat.completions.create( model="orcacyber-mimo-flash", messages=[{"role": "user", "content": "Hello!"}] )
SURPLUS_BASE_URL
https://api.surplusintelligence.ai/v1