OrcaCyber: DeepSeek V4.1 Flash Abliterated / Uncensored
LiveOrcaCyber1M context · Text, Vision, Tools, ReasoningBenchmark price · $0.045 input / $0.5 output per 1M tokens
Best discount now5.0%offYou pay 95.0% of reference.
Median discount5.0%offAcross 1 live offer.
Realized · 7 days6.4%avgRequest-weighted average.
Requests · 24h71 offer from 1 seller.
Current offers
1 of 1 offers
Availability
Providers
ProviderDiscountPriceLatencyUptimeCacheSold
Total
Cumulative offers
Sold
$0.000
Discount trend
Realized · 7 days14.3%
Best, twice dailyMedian 5.0%
Recent fills
12:28750 tokensOrcaRouter14.3%
12:28735 tokensOrcaRouter6.8%
12:272,958 tokensOrcaRouter4.9%
12:262,956 tokensOrcaRouter5.5%
12:25744 tokensOrcaRouter0.0%
12:25729 tokensOrcaRouter2.0%
12:07400 tokensOrcaRouter11.1%
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
- max_completion_tokensintegerSame as max_tokens
- 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
- reasoning_effortstringHow hard to think, as a string such as "high"
- 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 393K 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-flash-1.0", messages=[{"role": "user", "content": "Hello!"}] )
SURPLUS_BASE_URL
https://api.surplusintelligence.ai/v1