Text GenerationLive
MiMoMiMo V2.6 Flash Abliterated
MiMo V2.6 Flash Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text + Image in
$1.00/M in · $3.00/M out
लाइव एपीआई20 models
Abliterated LLM API — 20 एब्लिटरेटेड और अनप्रतिबंधित मॉडल
Abliterated LLM API एक ही MuAPI कुंजी और मानकीकृत अनुरोध प्रारूप के माध्यम से 20 अनप्रतिबंधित भाषा मॉडलों तक प्रोग्रामेटिक पहुंच प्रदान करता है।
Watch: Best Abliterated LLMs 2026 — 6 Picks, No GPU
MiMo
MiMo models1 modelsमॉडल आज़माएं
Abliterated Model
Abliterated Model models3 modelsText GenerationLive
Abliterated ModelAbliterated Model
Abliterated Model — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text + Image in
$2.00/M in · $6.00/M out
Text GenerationLive
Abliterated ModelAbliterated Model Large
Abliterated Model Large — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text in
$6.00/M in · $10.00/M out
Text GenerationLive
Abliterated ModelAbliterated Model Large V2
Abliterated Model Large V2 — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text in
$6.00/M in · $10.00/M out
Qwen
Qwen models6 modelsText GenerationLiveFeatured
QwenQwen 3.8 27B Abliterated
Qwen 3.8 27B Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text + Image in
$0.30/M in · $2.40/M out
Text GenerationLive
QwenQwen 3.8 27B Obliterated
Qwen 3.8 27B Obliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text + Image in
$0.50/M in · $3.00/M out
Text GenerationLive
QwenQwen 2.5 32B Instruct Abliterated
Qwen 2.5 32B Instruct Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text in
$1.40/M in · $1.40/M out
Text GenerationLive
QwenQwen3.5 27B Queen Derestricted
Qwen3.5 27B Queen Derestricted — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text + Image in
$0.612/M in · $0.612/M out
Text GenerationLive
QwenQwen3.5 27B Blossom Derestricted
Qwen3.5 27B Blossom Derestricted — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text + Image in
$0.612/M in · $0.612/M out
Text GenerationLive
QwenQwen3.5 27B Opus-Distilled Derestricted
Qwen3.5 27B Opus-Distilled Derestricted — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text + Image in
$0.612/M in · $0.612/M out
Llama
Llama models2 modelsText GenerationLive
LlamaLlama 3.3 70B Instruct Abliterated
Llama 3.3 70B Instruct Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text in
$1.40/M in · $1.40/M out
Text GenerationLive
LlamaNeuralDaredevil 8B Abliterated
NeuralDaredevil 8B Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text in
$0.88/M in · $0.88/M out
DeepSeek R1
DeepSeek R1 models2 modelsText GenerationLive
DeepSeek R1DeepSeek R1 Distill Llama 70B Abliterated
DeepSeek R1 Distill Llama 70B Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text in
$1.40/M in · $1.40/M out
Text GenerationLive
DeepSeek R1DeepSeek R1 Distill Qwen 32B Abliterated
DeepSeek R1 Distill Qwen 32B Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text in
$2.80/M in · $2.80/M out
GLM
GLM models3 modelsText GenerationLive
GLMGLM 5.3 Flash Abliterated
GLM 5.3 Flash Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text + Image in
$0.40/M in · $1.60/M out
Text GenerationLive
GLMGLM 5.3 Abliterated
GLM 5.3 Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text in
$2.50/M in · $4.50/M out
Text GenerationLive
GLMGLM 4.6 Derestricted v5
GLM 4.6 Derestricted v5 — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text in
$0.80/M in · $3.00/M out
Gemma
Gemma models3 modelsText GenerationLive
GemmaGemma 4 26B A4B Abliterated
Gemma 4 26B A4B Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text in
$0.30/M in · $1.40/M out
Text GenerationLive
GemmaGemma 4 31B Gembrain Abliterated
Gemma 4 31B Gembrain Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text + Image in
$0.612/M in · $0.612/M out
Text GenerationLive
GemmaGemma 4 31B SDFT Abliterated
Gemma 4 31B SDFT Abliterated — कम विलंबता, उच्च-गुणवत्ता और अनप्रतिबंधित टेक्स्ट जेनरेशन।
Text + Image in
$0.612/M in · $0.612/M out
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Abliterated LLM API क्या है?
Abliterated LLM API एक ही MuAPI कुंजी और मानकीकृत अनुरोध प्रारूप के माध्यम से 20 अनप्रतिबंधित भाषा मॉडलों तक प्रोग्रामेटिक पहुंच प्रदान करता है।
MuAPI के माध्यम से Abliterated LLM API को अपने अनुप्रयोगों में एकीकृत करें। बिना किसी निश्चित सदस्यता के प्रति-उपयोग बिलिंग और उच्च उपलब्धता का लाभ उठाएं।
Abliterated LLM API की मुख्य क्षमताएं
20 Models, One API
Abliterated LLM API के साथ व्यावसायिक गुणवत्ता और कम विलंबता में आउटपुट प्राप्त करें।
Reduced Refusals
Abliterated LLM API के साथ व्यावसायिक गुणवत्ता और कम विलंबता में आउटपुट प्राप्त करें।
सटीक नियंत्रण
Abliterated LLM API के साथ व्यावसायिक गुणवत्ता और कम विलंबता में आउटपुट प्राप्त करें।
Pay Per Token
Abliterated LLM API के साथ व्यावसायिक गुणवत्ता और कम विलंबता में आउटपुट प्राप्त करें।
Image Input on Vision Models
Abliterated LLM API के साथ व्यावसायिक गुणवत्ता और कम विलंबता में आउटपुट प्राप्त करें।
Acceptable-Use Policy Applies
Abliterated LLM API के साथ व्यावसायिक गुणवत्ता और कम विलंबता में आउटपुट प्राप्त करें।
Pricing
| Endpoint | Input | Output | Price | Best For |
|---|---|---|---|---|
| mimo-v2-6-flash-abliterated | Prompt + system_prompt, max_tokens, optional image_url | Complete text response (poll for result) | $1.00/M in · $3.00/M out | Fast, low-cost reasoning with image input and very long context |
| abliterated-model | Prompt + system_prompt, max_tokens, optional image_url | Complete text response (poll for result) | $2.00/M in · $6.00/M out | General reasoning and multimodal chat with reduced refusals |
| abliterated-model-large | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $6.00/M in · $10.00/M out | Large-context reasoning over long documents and codebases |
| abliterated-model-large-v2 | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $6.00/M in · $10.00/M out | The newest large abliterated reasoning tier |
| qwen-3-8-27b-abliterated | Prompt + system_prompt, max_tokens, optional image_url, optional thinking | Complete text response (poll for result) | $0.30/M in · $2.40/M out | The lowest-cost Qwen 3.8 tier, with image input and a switchable thinking mode |
| qwen-3-8-27b-obliterated | Prompt + system_prompt, max_tokens, optional image_url, optional thinking | Complete text response (poll for result) | $0.50/M in · $3.00/M out | Mid-size reasoning with image input and a switchable thinking mode |
| qwen-2-5-32b-abliterated | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $1.40/M in · $1.40/M out | Compact general chat and coding at a flat token rate |
| qwen-3-5-27b-queen-derestricted | Prompt + system_prompt, max_tokens, optional image_url | Complete text response (poll for result) | $0.612/M in · $0.612/M out | Creative and general chat with image input at a flat rate |
| qwen-3-5-27b-blossom-derestricted | Prompt + system_prompt, max_tokens, optional image_url | Complete text response (poll for result) | $0.612/M in · $0.612/M out | Creative writing and chat with image input at a flat rate |
| qwen-3-5-27b-opus-distilled-derestricted | Prompt + system_prompt, max_tokens, optional image_url | Complete text response (poll for result) | $0.612/M in · $0.612/M out | Step-by-step reasoning with image input at a flat rate |
| llama-3-3-70b-abliterated | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $1.40/M in · $1.40/M out | Large open-weights chat at a flat token rate |
| neuraldaredevil-8b-abliterated | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $0.88/M in · $0.88/M out | Lightweight, low-cost chat and prototyping |
| deepseek-r1-llama-70b-abliterated | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $1.40/M in · $1.40/M out | Step-by-step reasoning on the Llama 70B base |
| deepseek-r1-qwen-32b-abliterated | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $2.80/M in · $2.80/M out | Compact step-by-step reasoning on the Qwen 32B base |
| glm-5-3-flash-abliterated | Prompt + system_prompt, max_tokens, optional image_url | Complete text response (poll for result) | $0.40/M in · $1.60/M out | Fast, low-cost reasoning with image input and very long context |
| glm-5-3-abliterated | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $2.50/M in · $4.50/M out | Full-size reasoning over very long context |
| glm-4-6-derestricted-v5 | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $0.80/M in · $3.00/M out | Mid-size GLM reasoning with a 131K-token context |
| gemma-4-26b-a4b-abliterated | Prompt + system_prompt, max_tokens | Complete text response (poll for result) | $0.30/M in · $1.40/M out | Efficient, low-cost chat and reasoning on the Gemma family |
| gemma-4-31b-gembrain-abliterated | Prompt + system_prompt, max_tokens, optional image_url | Complete text response (poll for result) | $0.612/M in · $0.612/M out | General and creative chat with image input at a flat token rate |
| gemma-4-31b-sdft-abliterated | Prompt + system_prompt, max_tokens, optional image_url | Complete text response (poll for result) | $0.612/M in · $0.612/M out | Character chat and creative writing on a Gemma 4 base, with image input |
Billed per token from the usage each call returns; prices are per million input and output tokens.
How to Call the Abliterated LLM API
Submit a JSON request with your Muapi API key, save the request ID, and poll the shared result endpoint.
1. Submit a prompt to MiMo V2.6 Flash Abliterated
curl -X POST https://api.muapi.ai/api/v1/mimo-v2-6-flash-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Write a morally gray villain monologue for my novel.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call mimo-v2-6-flash-abliterated with a prompt and optional system_prompt, image_url.
2. Submit a prompt to Abliterated Model
curl -X POST https://api.muapi.ai/api/v1/abliterated-model \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Describe the plot of a dark psychological thriller in detail.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call abliterated-model with a prompt and optional system_prompt, image_url.
3. Submit a prompt to Abliterated Model Large
curl -X POST https://api.muapi.ai/api/v1/abliterated-model-large \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Summarize this long transcript and list every claim that needs a fact-check.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call abliterated-model-large with a prompt and optional system_prompt.
4. Submit a prompt to Abliterated Model Large V2
curl -X POST https://api.muapi.ai/api/v1/abliterated-model-large-v2 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Draft a blunt red-team style review of this product launch plan.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call abliterated-model-large-v2 with a prompt and optional system_prompt.
5. Submit a prompt to Qwen 3.8 27B Abliterated
curl -X POST https://api.muapi.ai/api/v1/qwen-3-8-27b-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Write a tense, unflinching short story about a heist gone wrong.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "thinking": true, "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call qwen-3-8-27b-abliterated with a prompt and optional system_prompt, image_url and thinking flag.
6. Submit a prompt to Qwen 3.8 27B Obliterated
curl -X POST https://api.muapi.ai/api/v1/qwen-3-8-27b-obliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Character chat as a cynical noir detective and narrate the opening scene.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "thinking": true, "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call qwen-3-8-27b-obliterated with a prompt and optional system_prompt, image_url and thinking flag.
7. Submit a prompt to Qwen 2.5 32B Instruct Abliterated
curl -X POST https://api.muapi.ai/api/v1/qwen-2-5-32b-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Write a Python function that parses log lines and explain each step.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call qwen-2-5-32b-abliterated with a prompt and optional system_prompt.
8. Submit a prompt to Qwen3.5 27B Queen Derestricted
curl -X POST https://api.muapi.ai/api/v1/qwen-3-5-27b-queen-derestricted \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Write a candid character study of a retired assassin.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call qwen-3-5-27b-queen-derestricted with a prompt and optional system_prompt, image_url.
9. Submit a prompt to Qwen3.5 27B Blossom Derestricted
curl -X POST https://api.muapi.ai/api/v1/qwen-3-5-27b-blossom-derestricted \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Continue this fantasy scene in the voice of a sardonic narrator.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call qwen-3-5-27b-blossom-derestricted with a prompt and optional system_prompt, image_url.
10. Submit a prompt to Qwen3.5 27B Opus-Distilled Derestricted
curl -X POST https://api.muapi.ai/api/v1/qwen-3-5-27b-opus-distilled-derestricted \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Reason step by step about the risks in this plan and rank them.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call qwen-3-5-27b-opus-distilled-derestricted with a prompt and optional system_prompt, image_url.
11. Submit a prompt to Llama 3.3 70B Instruct Abliterated
curl -X POST https://api.muapi.ai/api/v1/llama-3-3-70b-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Continue this interactive fiction scene without softening the tone.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call llama-3-3-70b-abliterated with a prompt and optional system_prompt.
12. Submit a prompt to NeuralDaredevil 8B Abliterated
curl -X POST https://api.muapi.ai/api/v1/neuraldaredevil-8b-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Give me five brainstorming angles for a horror short story.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call neuraldaredevil-8b-abliterated with a prompt and optional system_prompt.
13. Submit a prompt to DeepSeek R1 Distill Llama 70B Abliterated
curl -X POST https://api.muapi.ai/api/v1/deepseek-r1-llama-70b-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Reason step by step through this logic puzzle and show your working.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call deepseek-r1-llama-70b-abliterated with a prompt and optional system_prompt.
14. Submit a prompt to DeepSeek R1 Distill Qwen 32B Abliterated
curl -X POST https://api.muapi.ai/api/v1/deepseek-r1-qwen-32b-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Work through this probability problem step by step.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call deepseek-r1-qwen-32b-abliterated with a prompt and optional system_prompt.
15. Submit a prompt to GLM 5.3 Flash Abliterated
curl -X POST https://api.muapi.ai/api/v1/glm-5-3-flash-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Analyze this chart and write a blunt executive summary of the risks.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call glm-5-3-flash-abliterated with a prompt and optional system_prompt, image_url.
16. Submit a prompt to GLM 5.3 Abliterated
curl -X POST https://api.muapi.ai/api/v1/glm-5-3-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Summarize this 500-page report and flag every unsupported claim.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call glm-5-3-abliterated with a prompt and optional system_prompt.
17. Submit a prompt to GLM 4.6 Derestricted v5
curl -X POST https://api.muapi.ai/api/v1/glm-4-6-derestricted-v5 \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Draft a frank critique of this business plan.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call glm-4-6-derestricted-v5 with a prompt and optional system_prompt.
18. Submit a prompt to Gemma 4 26B A4B Abliterated
curl -X POST https://api.muapi.ai/api/v1/gemma-4-26b-a4b-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Argue the strongest case for the opposite side of this debate.", "system_prompt": "You are a candid, detail-oriented assistant.", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call gemma-4-26b-a4b-abliterated with a prompt and optional system_prompt.
19. Submit a prompt to Gemma 4 31B Gembrain Abliterated
curl -X POST https://api.muapi.ai/api/v1/gemma-4-31b-gembrain-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Describe this image as the opening of a gritty short story.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call gemma-4-31b-gembrain-abliterated with a prompt and optional system_prompt, image_url.
20. Submit a prompt to Gemma 4 31B SDFT Abliterated
curl -X POST https://api.muapi.ai/api/v1/gemma-4-31b-sdft-abliterated \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt": "Stay in character as the ship AI and describe the storm outside.", "system_prompt": "You are a candid, detail-oriented assistant.", "image_url": "https://example.com/reference.png", "max_tokens": 1024}'
# Response: {"request_id":"REQUEST_ID"}Call gemma-4-31b-sdft-abliterated with a prompt and optional system_prompt, image_url.
21. Poll the result
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated text from outputs.
Poll the shared result endpoint until the task is completed, then read the generated text from outputs.
Abliterated LLM API अक्सर पूछे जाने वाले प्रश्न
Abliterated LLM API की मुख्य विशेषताएं क्या हैं?
यह अत्याधुनिक AI वास्तुकला पर आधारित है जो उच्च विश्वसनीयता और गति प्रदान करती है।
Abliterated LLM API API को कैसे एकीकृत करें?
एकल MuAPI कुंजी के साथ हमारे मानकीकृत REST एंडपॉइंट्स पर कॉल करें।
Abliterated LLM API का मूल्य निर्धारण क्या है?
बिना किसी निश्चित मासिक सदस्यता के प्रति-उपयोग पारदर्शी दरें लागू होती हैं।
Abliterated LLM API की मुख्य विशेषताएं क्या हैं?
यह अत्याधुनिक AI वास्तुकला पर आधारित है जो उच्च विश्वसनीयता और गति प्रदान करती है।
Abliterated LLM API की मुख्य विशेषताएं क्या हैं?
यह अत्याधुनिक AI वास्तुकला पर आधारित है जो उच्च विश्वसनीयता और गति प्रदान करती है।
Abliterated LLM API की मुख्य विशेषताएं क्या हैं?
यह अत्याधुनिक AI वास्तुकला पर आधारित है जो उच्च विश्वसनीयता और गति प्रदान करती है।
Abliterated LLM API की मुख्य विशेषताएं क्या हैं?
यह अत्याधुनिक AI वास्तुकला पर आधारित है जो उच्च विश्वसनीयता और गति प्रदान करती है।
क्या मैं इन मॉडलों को Claude Code या Codex में उपयोग कर सकता हूँ?
हाँ, उन मॉडलों के लिए जो टूल कॉलिंग का समर्थन करते हैं: यहाँ के 20 में से 14 मॉडल, जिनमें MiMo V2.6 Flash Abliterated, Qwen 3.8 27B Obliterated, GLM 5.3 Abliterated, Gemma 4 31B SDFT Abliterated और Abliterated Model Large V2 शामिल हैं। बाकी 6 केवल टेक्स्ट वाले हैं और कोडिंग एजेंट में उपयोग नहीं किए जा सकते। Claude Code में ANTHROPIC_BASE_URL को https://api.muapi.ai/anthropic पर और ANTHROPIC_AUTH_TOKEN को अपनी Muapi API कुंजी पर सेट करें, फिर इसे claude --model qwen-3-8-27b-obliterated से शुरू करें (ANTHROPIC_DEFAULT_HAIKU_MODEL और ANTHROPIC_SMALL_FAST_MODEL को भी उसी आईडी पर सेट करें)। Codex CLI भी काम करता है: base_url https://api.muapi.ai/openai/v1 वाला एक मॉडल प्रोवाइडर जोड़ें और model को उसी आईडी पर सेट करें। गुणवत्ता मॉडल के अनुसार अलग होती है और छोटे मॉडल कई फ़ाइलों वाले कार्यों में चरण छोड़ सकते हैं, प्रॉम्प्ट कैशिंग नहीं है इसलिए हर टर्न का बिल अब तक की पूरी बातचीत के लिए बनता है, और हर प्रतिक्रिया 16,384 टोकन तक सीमित है। सेटअप गाइड: /hi/docs/ai-agent-install-chat-agents।
Explore the Abliterated Model API →Abliterated Model, Abliterated Model Large and Abliterated Model Large V2Explore the MiMo Abliterated API →MiMo V2.6 Flash AbliteratedExplore the Qwen Abliterated API →6 models.Explore the Llama Abliterated API →Llama 3.3 70B Instruct Abliterated and NeuralDaredevil 8B AbliteratedExplore the GLM Abliterated API →GLM 5.3 Flash Abliterated, GLM 5.3 Abliterated and GLM 4.6 Derestricted v5Explore the Gemma Abliterated API →Gemma 4 26B A4B Abliterated, Gemma 4 31B Gembrain Abliterated and Gemma 4 31B SDFT AbliteratedExplore the DeepSeek R1 Abliterated API →DeepSeek R1 Distill Llama 70B Abliterated and DeepSeek R1 Distill Qwen 32B AbliteratedSee the Character Chat LLM API →12 models on the Character Chat LLM API.See the Low-Refusal LLM API →2 models on the Low-Refusal LLM API.Browse every LLM on Muapi →Compare these models against GPT, Claude, Gemini, DeepSeek and every other language model in the catalog.
अनप्रतिबंधित LLM के साथ निर्माण करें
बिना किसी कृत्रिम इनकार के रचनात्मक स्वतंत्रता अनलॉक करें।