
تامینکننده
DeepInfra
پلتفرم DeepInfra با ارائه زیرساختی قدرتمند و مقیاسپذیر، دسترسی به پیشرفتهترین مدلهای هوش مصنوعی جهان از جمله سری Hermes 3، Llama 3.1 و مدلهای تخصصی Qwen را تسهیل میکند. این سرویس با تمرکز بر استنتاج سریع و بهینه، امکان اجرای مدلهای زبانی بزرگ و ابزارهای تولید تصویر را با کمترین تاخیر فراهم میآورد. توسعهدهندگان میتوانند از طریق APIهای استاندارد، به طیف وسیعی از مدلهای متنباز و تجاری برای پروژههای پردازش متن و تصویر دسترسی داشته باشند. DeepInfra با حذف پیچیدگیهای زیرساختی، پیادهسازی راهکارهای هوش مصنوعی را برای کسبوکارها و تیمهای فنی سریعتر و مقرونبهصرفهتر کرده است.
| مدل | نام مدل | مدل اصلی | ورودی ($/1M) | خروجی ($/1M) | رایگان |
|---|---|---|---|---|---|
|
|
Ling-3.0-flash-Fin | inclusionAI/Ling-3.0-flash-Fin |
$0.06 | $0.18 | — |
| Granite 4.2 3B IBM | granite-4.2-3b | ibm-granite/granite-4.2-3b |
$0.03 | $0.12 | — |
| Granite 4.2 30B IBM | granite-4.2-30b | ibm-granite/granite-4.2-30b |
$0.16 | $0.65 | — |
|
|
GLM-5.3-Flash | zai-org/GLM-5.3-Flash |
$0.15 | $0.50 | — |
|
|
Qwen3-Max | Qwen/Qwen3-Max |
$1.20 | $6.00 | — |
|
|
Qwen3-235B-A22B-Instruct-2507 | Qwen/Qwen3-235B-A22B-Instruct-2507 |
$0.09 | $0.55 | — |
|
|
Qwen3-32B | Qwen/Qwen3-32B |
$0.08 | $0.28 | — |
|
|
Qwen3-VL-235B-A22B-Instruct | Qwen/Qwen3-VL-235B-A22B-Instruct |
$0.20 | $0.88 | — |
|
|
Qwen3.5-9B | Qwen/Qwen3.5-9B |
$0.10 | $0.15 | — |
|
|
DeepSeek-V3.1 | deepseek-ai/DeepSeek-V3.1 |
$0.25 | $0.95 | — |
|
|
gemini-2.5-flash | google/gemini-2.5-flash |
$0.30 | $2.50 | — |
|
|
Nemotron-3-Nano-30B-A3B | nvidia/Nemotron-3-Nano-30B-A3B |
$0.05 | $0.20 | — |
|
|
gemini-2.5-pro | google/gemini-2.5-pro |
$1.25 | $10.00 | — |
|
|
Muse-Glimmer-30B | meta-models/Muse-Glimmer-30B |
$0.30 | $1.20 | — |
|
|
MiMo-V2.5-Pro | XiaomiMiMo/MiMo-V2.5-Pro |
$1.00 | $3.00 | — |
|
|
Qwen3.6-35B-A3B | Qwen/Qwen3.6-35B-A3B |
$0.10 | $0.95 | — |
|
|
gemma-4-26B-A4B-it | google/gemma-4-26B-A4B-it |
$0.07 | $0.34 | — |
|
|
Qwen3.5-35B-A3B | Qwen/Qwen3.5-35B-A3B |
$0.14 | $1.00 | — |
|
|
NVIDIA-Nemotron-3-Ultra-550B-A55B | nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B |
$0.50 | $2.20 | — |
|
|
gemini-3.1-flash-lite | google/gemini-3.1-flash-lite |
$0.25 | $1.50 | — |
|
|
gemma-4-31B-it | google/gemma-4-31B-it |
$0.13 | $0.38 | — |
|
|
Qwen3.5-27B | Qwen/Qwen3.5-27B |
$0.26 | $2.60 | — |
|
|
Kimi-K2.7-Code | moonshotai/Kimi-K2.7-Code |
$0.68 | $3.40 | — |
|
|
Qwen3.5-122B-A10B | Qwen/Qwen3.5-122B-A10B |
$0.29 | $2.40 | — |
|
|
Qwen3.6-27B | Qwen/Qwen3.6-27B |
$0.32 | $3.20 | — |
|
|
NVIDIA-Nemotron-3-Ultra-550B-A55B | nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B |
$0.50 | $2.20 | — |
|
|
gemini-3.5-flash | google/gemini-3.5-flash |
$1.50 | $9.00 | — |
|
|
Qwen3.5-397B-A17B | Qwen/Qwen3.5-397B-A17B |
$0.45 | $3.00 | — |
|
|
Kimi-K2.5 | moonshotai/Kimi-K2.5 |
$0.45 | $2.25 | — |
|
|
Qwen3-Embedding-8B | Qwen/Qwen3-Embedding-8B |
$0.01 | - | — |
|
|
Seed-2.0-pro | ByteDance/Seed-2.0-pro |
$0.50 | $3.00 | — |
|
|
Qwen3.8-Max | Qwen/Qwen3.8-Max |
$1.65 | $4.95 | — |
|
|
MiniMax-M3 | MiniMaxAI/MiniMax-M3 |
$0.28 | $1.10 | — |
|
|
Qwen3.7-Max | Qwen/Qwen3.7-Max |
$2.50 | $7.50 | — |
|
|
Mistral-Small-3.2-24B-Instruct-2506 | mistralai/Mistral-Small-3.2-24B-Instruct-2506 |
$0.08 | $0.20 | — |
|
|
Qwen2.5-72B-Instruct | Qwen/Qwen2.5-72B-Instruct |
$0.36 | $0.40 | — |
|
|
gemma-3-12b-it | google/gemma-3-12b-it |
$0.05 | $0.15 | — |
|
|
Mistral-Small-24B-Instruct-2501 | mistralai/Mistral-Small-24B-Instruct-2501 |
$0.05 | $0.08 | — |
|
|
gemma-3-27b-it | google/gemma-3-27b-it |
$0.08 | $0.16 | — |
| Phi 4 microsoft | phi-4 | microsoft/phi-4 |
$0.07 | $0.14 | — |
|
|
gemma-4-E4B-it | google/gemma-4-E4B-it |
$0.02 | $0.10 | — |
|
|
DeepSeek-V3 | deepseek-ai/DeepSeek-V3 |
$0.32 | $0.89 | — |
|
|
Qwen3-30B-A3B | Qwen/Qwen3-30B-A3B |
$0.12 | $0.50 | — |
|
|
DeepSeek-V3 | deepseek-ai/DeepSeek-V3 |
$0.32 | $0.89 | — |
|
|
Nemotron-3.5-ASR-Streaming-Multilingual-0.6b | nvidia/Nemotron-3.5-ASR-Streaming-Multilingual-0.6b |
- | - | — |
|
|
Qwen3-ASR-1.7B | Qwen/Qwen3-ASR-1.7B |
- | - | — |
|
|
Qwen3-ASR-0.6B | Qwen/Qwen3-ASR-0.6B |
- | - | — |
|
|
Voxtral-Mini-3B-2507 | mistralai/Voxtral-Mini-3B-2507 |
- | - | — |
|
|
GLM-5.1 | zai-org/GLM-5.1 |
$1.05 | $3.50 | — |
|
|
GLM-4.7 | zai-org/GLM-4.7 |
$0.40 | $1.75 | — |
|
|
GLM-4.6 | zai-org/GLM-4.6 |
$0.50 | $2.00 | — |
|
|
GLM-4.7-Flash | zai-org/GLM-4.7-Flash |
$0.06 | $0.40 | — |
|
|
Qwen3-VL-30B-A3B-Instruct | Qwen/Qwen3-VL-30B-A3B-Instruct |
$0.15 | $0.60 | — |
|
|
Qwen3-Next-80B-A3B-Instruct | Qwen/Qwen3-Next-80B-A3B-Instruct |
$0.09 | $1.10 | — |
|
|
gemma-3-4b-it | google/gemma-3-4b-it |
$0.05 | $0.10 | — |
|
|
gemini-3-pro-image | google/gemini-3-pro-image |
- | - | — |
|
|
FLUX-2-pro | black-forest-labs/FLUX-2-pro |
- | - | — |
|
|
FLUX-2-max | black-forest-labs/FLUX-2-max |
- | - | — |
|
|
FLUX-1.1-pro | black-forest-labs/FLUX-1.1-pro |
- | - | — |
|
|
FLUX-1-schnell | black-forest-labs/FLUX-1-schnell |
- | - | — |
|
|
FLUX-1-dev | black-forest-labs/FLUX-1-dev |
- | - | — |
|
|
Ling-3.0-flash | inclusionAI/Ling-3.0-flash |
$0.06 | $0.18 | — |
|
|
Hermes-3-Llama-3.1-405B | NousResearch/Hermes-3-Llama-3.1-405B |
$1.00 | $1.00 | — |
|
|
Hermes-3-Llama-3.1-70B | NousResearch/Hermes-3-Llama-3.1-70B |
$0.70 | $0.70 | — |
|
|
Mistral-Nemo-Instruct-2407 | mistralai/Mistral-Nemo-Instruct-2407 |
$0.019 | $0.03 | — |
|
|
Llama-Guard-4-12B | meta-llama/Llama-Guard-4-12B |
$0.18 | $0.18 | — |
|
|
Llama-4-Maverick-17B-128E-Instruct-FP8 | meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8 |
$0.20 | $0.80 | — |
|
|
Qwen-Image-Edit | Qwen/Qwen-Image-Edit |
- | - | — |
|
|
Qwen3-14B | Qwen/Qwen3-14B |
$0.12 | $0.24 | — |
|
|
Inkling | thinkingmachines/Inkling |
$0.95 | $4.05 | — |
|
|
Seed-2.0-code | ByteDance/Seed-2.0-code |
$0.50 | $3.00 | — |
|
|
Qwen3.8-2.4T-A95B | Qwen/Qwen3.8-2.4T-A95B |
$2.00 | $6.00 | — |
|
|
NVIDIA-Nemotron-3-Super-120B-A12B | nvidia/NVIDIA-Nemotron-3-Super-120B-A12B |
$0.09 | $0.40 | — |
|
|
Seedream-4 | ByteDance/Seedream-4 |
- | - | — |
|
|
Seedance-2.0 | ByteDance/Seedance-2.0 |
- | - | — |
|
|
Seedance-1.5-Pro | ByteDance/Seedance-1.5-Pro |
- | - | — |
|
|
Seed-2.0-mini | ByteDance/Seed-2.0-mini |
$0.10 | $0.40 | — |
|
|
Qwen3-Max | Qwen/Qwen3-Max |
$1.20 | $6.00 | — |
|
|
Qwen3-Embedding-4B | Qwen/Qwen3-Embedding-4B |
$0.02 | - | — |
|
|
Qwen3-Embedding-0.6B | Qwen/Qwen3-Embedding-0.6B |
$0.01 | - | — |
|
|
Qwen3-Coder-480B-A35B-Instruct-Turbo | Qwen/Qwen3-Coder-480B-A35B-Instruct-Turbo |
$0.30 | $1.00 | — |
|
|
Qwen3-14B | Qwen/Qwen3-14B |
$0.12 | $0.24 | — |
|
|
FLUX-2-klein-4b | black-forest-labs/FLUX-2-klein-4b |
- | - | — |
|
|
FLUX-2-klein-9b | black-forest-labs/FLUX-2-klein-9b |
- | - | — |
|
|
FLUX-2-dev | black-forest-labs/FLUX-2-dev |
- | - | — |
|
|
FLUX.1-Kontext-dev | black-forest-labs/FLUX.1-Kontext-dev |
- | - | — |
| WAN Video 2.6 wanvideo | Wan2.6-T2V | Wan-AI/Wan2.6-T2V |
- | - | — |
|
|
Voxtral-Small-24B-2507 | mistralai/Voxtral-Small-24B-2507 |
- | - | — |
|
|
veo-3.1 | google/veo-3.1 |
- | - | — |
|
|
whisper-large-v3-turbo | openai/whisper-large-v3-turbo |
- | - | — |
|
|
whisper-large-v3 | openai/whisper-large-v3 |
- | - | — |
|
|
veo-3.1-fast | google/veo-3.1-fast |
- | - | — |
|
|
Step-3.7-Flash | stepfun-ai/Step-3.7-Flash |
$0.20 | $1.15 | — |
|
|
MiMo-V2.5-tts-voicedesign | XiaomiMiMo/MiMo-V2.5-tts-voicedesign |
- | - | — |
|
|
MiMo-V2.5-tts | XiaomiMiMo/MiMo-V2.5-tts |
- | - | — |
|
|
Llama-4-Scout-17B-16E-Instruct | meta-llama/Llama-4-Scout-17B-16E-Instruct |
$0.10 | $0.30 | — |
|
|
Wan2.6-T2I | Wan-AI/Wan2.6-T2I |
- | - | — |
|
|
gpt-oss-20b | openai/gpt-oss-20b |
$0.03 | $0.14 | — |
|
|
gpt-oss-120b | openai/gpt-oss-120b |
$0.037 | $0.17 | — |
|
|
claude-haiku-4-5 | anthropic/claude-haiku-4-5 |
$1.00 | $5.00 | — |
|
|
claude-sonnet-4-6 | anthropic/claude-sonnet-4-6 |
$3.00 | $15.00 | — |
|
|
claude-fable-5 | anthropic/claude-fable-5 |
$10.00 | $50.00 | — |
|
|
claude-opus-4-7 | anthropic/claude-opus-4-7 |
$5.00 | $25.00 | — |
|
|
claude-opus-4-8 | anthropic/claude-opus-4-8 |
$5.00 | $25.00 | — |
|
|
claude-sonnet-5 | anthropic/claude-sonnet-5 |
$2.00 | $10.00 | — |
|
|
claude-opus-5 | anthropic/claude-opus-5 |
$5.00 | $25.00 | — |
|
|
Inkling-Small | thinkingmachines/Inkling-Small |
$0.45 | $1.20 | — |
مدلی با این مشخصات پیدا نشد.