DeepInfra Review: Pricing & Comparison
Low-latency inference for open-source models, extremely transparent low pricing, supports crypto payment, includes image-generation models
Last verified: 2026-07-04 · Visit official site →
DeepInfra: transparent pricing taken to the extreme
DeepInfra (deepinfra.com) has a clear position in the open-source model inference market: the lowest prices, transparent billing, global acceleration. No complicated plans, no membership discount tiers — every model’s per-million-token input/output price is listed plainly and can be checked live on the official site.
This level of transparency is uncommon among AI inference platforms. Many platforms hide behind “contact sales” or undisclosed discount structures instead of clear pricing, while DeepInfra opts to list it directly — Llama 3.3 70B input at $0.23/M tokens, output at $0.4/M tokens, no hidden fees.
Price benchmark: a side-by-side comparison
Using Llama 3.3 70B (as of July 2026) as an example:
| Platform | Input price (/M tokens) | Output price (/M tokens) |
|---|---|---|
| DeepInfra | $0.23 | $0.40 |
| Together AI | $0.88 | $0.88 |
| Groq Cloud | $0.59 | $0.79 |
| Fireworks AI | $0.90 | $0.90 |
For the same model, DeepInfra’s price is typically 30-70% below its major competitors. For token-heavy batch tasks (document summarization, data extraction, large-scale classification), that gap shows up directly on your bill.
Crypto payment: a niche but real need
DeepInfra supports topping up with USDC (USD Coin stablecoin) — a feature that looks niche but solves a real pain point for a specific group:
- Teams without an international credit card: for some companies’ finance workflows, buying an overseas SaaS subscription is more complicated than a stablecoin transfer
- AI budgets that need independently traceable accounting: USDC transfers can be tracked precisely, making cost accounting easier
- Crypto-friendly developer communities: Web3-background technical teams often prefer services that support crypto payment
Worth noting: USDC top-ups require a compatible wallet and on-chain operations, which carries some setup overhead — teams unfamiliar with crypto payment flows are better off using a credit card.
Image models: beyond text inference
Besides text models, DeepInfra also covers mainstream image-generation models:
The Flux series (from Black Forest Labs):
- Flux.1 Dev: high-quality image generation, suited to content creation
- Flux.1 Schnell: a fast-generation version, suited to bulk-generation scenarios
- Billed per image, typically $0.02-0.05 each
Stable Diffusion XL:
- A mature open-source image model with a high degree of customization
- Suited to image-generation applications that need fine-tuning
Text and image models are managed under the same account, convenient for developers who need both capabilities without splitting budget across multiple platforms.
What global CDN acceleration means in practice
DeepInfra runs inference nodes across multiple regions (US East, US West, Europe), and API requests are automatically routed to the lowest-latency node. For users in mainland China, this means:
- Latency differences between accessing the US East node vs. the Europe node (via VPN) typically run 50-100ms
- Batch tasks (non-real-time scenarios) are affected only marginally by CDN acceleration
- For real-time conversational scenarios, we’d suggest testing actual latency before deploying
Where DeepInfra fits
Strongly recommended for:
- Large-scale batch tasks (document processing, data labeling, content generation) chasing the lowest possible token cost
- Teams that use both text inference and image generation and want unified account management
- Web3-background teams with a crypto payment need
- Budget-sensitive individual developer projects
Not a fit for:
- Scenarios that need closed-source models like Claude/GPT/Gemini
- Production environments that require mainland direct connect
- Small-scale testing ($0.5 in free credit runs out quickly)
Compared to Groq Cloud’s extremely fast inference, DeepInfra is a better fit when speed requirements aren’t as extreme but price sensitivity is high. If you need unified routing across multiple platforms, you can pair Portkey’s LLM gateway on top of DeepInfra to add observability and failover.
Information verified 2026-07-04. Defer to deepinfra.com’s live pricing, and see the official docs’ top-up instructions for details on crypto payment.
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Quick facts
| Pricing model | Pay-as-you-go, no monthly fee; Llama 3.3 70B around $0.23/M input, $0.4/M output; Flux image generation billed per image; accepts credit cards and cryptocurrency (USDC) |
|---|---|
| Model coverage | The Llama 4/3 series, DeepSeek R1/V3, Qwen 2.5, Mistral, and image models like Flux and Stable Diffusion |
| Latency / SLA | Globally distributed CDN inference nodes with automatic nearest-node routing; officially claimed P50 latency under 200ms TTFT |
| Mainland direct connect | Proxy required |
| Best for | Developers |
| Referral program | No public affiliate program found so far. |
Pros
- Pricing sits at the low end among comparable open-source inference platforms — Llama 3.3 70B input is just $0.23/M tokens
- Global CDN acceleration automatically routes to the lowest-latency inference node, reducing latency caused by geography
- Supports USDC crypto payment, friendly to international teams with stablecoin settlement needs
Cons
- Doesn't support closed-source models like Claude/GPT/Gemini, limiting its use cases
- Needs a VPN to access from mainland China, no mainland direct-connect nodes
- Free credit is only $0.5, so real testing requires upgrading to paid fairly quickly
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