DeepInfra
Verified ProviderTier 3 Serverless Cloud 4.9 / 5.0 (165 reviews)Pay Only for What You Use with Ultra-Low Token Costs
DeepInfra hosts state-of-the-art open source models including DeepSeek-R1, Llama 3.3, and Flux with industry-leading token prices. Fully compatible with the OpenAI API format.
DeepInfra Serverless AI Token Inference Pricing (7 Models)
| AI Model | Category | Cold Start | Context Window | Input ($/1M or Unit) | Output / 1M Tokens | Speed | Actions |
|---|---|---|---|---|---|---|---|
| FLUX.1-dev | IMAGE | 0s Instant | 1K tokens | $0.025 / img | — | Stateless API | |
| Meta-Llama-3.1-8B-Instruct | LLM | 0s Instant | 128K tokens | $0.05 | $0.08 | 160 tps | |
| Qwen-2.5-Coder-32B-Instruct | LLM | 0s Instant | 128K tokens | $0.12 | $0.16 | 95 tps | |
| DeepSeek-V3 | LLM | 0s Instant | 64K tokens | $0.14 | $0.28 | 75 tps | |
| Llama-3.3-70B-Instruct | LLM | 0s Instant | 128K tokens | $0.23 | $0.40 | 85 tps | |
| Qwen-2.5-72B-Instruct | LLM | 0s Instant | 128K tokens | $0.35 | $0.40 | 80 tps | |
| DeepSeek-R1 | LLM | 0s Instant | 160K tokens | $0.55 | $2.19 | 65 tps |
DeepInfra Monthly API Token Spend Simulator
Simulate monthly inference cost across open foundation models. Zero idle cluster fees, pure pay-per-token API billing.
Unlike renting raw GPU instances where stopped persistent volumes incur $0.10/GB/month and idle compute bills 24/7, DeepInfra charges purely for generated tokens. When your app receives zero traffic, your hourly cost is strictly $0.00.
Total volume: 25.0M tokens / month
Equivalent volume on OpenAI GPT-4o costs approx. $100/mo ($2.50/$10.00 per 1M).
- •Strictly a Serverless Model API and container hosting provider; no direct Linux terminal, bash shell, or root SSH access.
- •Deploying private fine-tuned weights requires pushing models to their custom container registry.
- •Cold starts on rarely accessed custom containers take ~15-30s (public models are warm 24/7).
- ✓Unbeatable price leader across open foundation models: DeepSeek-V3 at $0.14/$0.28 per 1M tokens and Llama 3.3 70B at $0.23/$0.40.
- ✓100% OpenAI compatible: change `baseURL` to `https://api.deepinfra.com/v1/openai` and deploy instantly in production apps.
- ✓High-speed generation of FLUX.1-dev images at just $0.025 per image, completely eliminating GPU cluster maintenance.
Top Alternatives to DeepInfra
Evaluate competing serverless inference APIs for pricing, speed, and platform reliability.
Ultra-fast LPU inference engine with 300+ tokens/sec
Groq LPUs deliver under 120ms time-to-first-token and 300+ tps, making it the industry leader for real-time conversational agents.
Comprehensive open-source model catalog & fine-tuning
Together AI offers wider multi-modal capabilities including FLUX.1 image generation and dedicated model fine-tuning APIs.
In-Depth Technical Head-to-Head Battles:
Comparing serverless token pricing for Llama 3.3 70B: DeepInfra offers the absolute cheapest rate at $0.23/1M input and $0.40/1M output. Together AI offers higher throughput (>110 tokens/sec) and dedicated enterprise fine-tuning endpoints.
Both platforms offer exceptional OpenAI-compatible APIs for open models. DeepInfra wins on sheer input/output token pricing for DeepSeek-R1 and Llama 3. Together AI offers superior custom fine-tuning and enterprise SLAs with proprietary FlashAttention optimization.
Developer API SDK & Code Recipes for DeepInfra
Tested OpenAI-standard drop-in code snippets for Python, TypeScript, and cURL.
# 1. Install official OpenAI client:
# pip install openai
from openai import OpenAI
import os
client = OpenAI(
base_url="https://api.deepinfra.com/v1/openai",
api_key=os.environ.get("DEEPINFRA_TOKEN", "your_api_key_here")
)
response = client.chat.completions.create(
model="deepseek-ai/DeepSeek-R1",
messages=[
{"role": "system", "content": "You are a helpful AI assistant."},
{"role": "user", "content": "Explain KV cache compression in 3 concise bullet points."}
],
temperature=0.6,
)
print(response.choices[0].message.content)DeepInfra Architecture, Gotchas & Engineering Verdict
DeepInfra operates high-throughput managed inference clusters optimized for ultra-low latency token generation. Physical accelerators (LPUs or H100s) are pooled into an elastic API backend with zero user DevOps management.
- ✓Zero idle server cost: strictly pay-per-token with $0.00 disk retention fees.
- ✓OpenAI-compatible drop-in endpoints with streaming SSE and tool calling.
- ✓Instant autoscaling from 1 to 500+ concurrent requests with zero cold starts.
- !Rate Limits (TPM/RPM): Unverified free tiers have tighter request-per-minute limits. Upgrade to production tier for high concurrency.
- !Context Window Limits: Ensure long document RAG pipelines respect model context limits.
- !Fixed Model Catalog: You cannot run arbitrary custom LoRA checkpoints directly without dedicated custom endpoints.
Developer Reviews & Telemetry Audit
Aggregated from 165 verified AI engineers deploying vLLM, ComfyUI, and production API workloads.
“We dropped our OpenAI bills by 85% by switching to DeepInfra's OpenAI-compatible endpoint. TTFT is under 280ms and throughput consistently reaches 85 tokens/sec.”