Quick Answer
Last verified:
High confidence

DeepInfra costs $0.02 to $82.50 per per million tokens as of April 2026. Pricing depends on your chosen tier, contract length, and negotiated discounts.

Use the interactive pricing calculator to estimate your exact cost based on team size and requirements.

  • Free tier: No free tier available

DeepInfra true cost runs 70% above the listed $0.02-$82.5/per million tokens price as of April 2026. For a 25-person team, expect ~$21,043 in year-one costs vs the $12,378 base license. Key hidden costs: model size premium: large models cost significantly more, third-party marketplace markup, quantization compatibility: non-fp8 models may produce unreliable output. Verified from 2 sources by CostBench.

Hidden Costs Breakdown

1

Model Size Premium: Large Models Cost Significantly More

medium overage

DeepInfra's pricing scales sharply with model size. Small 2B-8B models can cost as little as $0.02-$0.06/1M blended tokens, while 70B+ frontier and reasoning models reach $1-$4+/1M tokens. Users who start on small models and later need larger ones can see costs increase 10-100x.

reddit

DeepInfra's pricing for 7-8 B params model is veeeryy cheap, but for 70B it is expensive

hn

deepinfra has wizardLM-2-8x22B at $0.65/1M output tokens, compared to $6/1M output tokens for 8x22B by Mistral

2

Third-Party Marketplace Markup

low addon

Accessing DeepInfra through OpenRouter or similar aggregators adds fees on top of native DeepInfra prices. Users who benchmark DeepInfra's competitive pricing and then integrate via an intermediary may pay more than expected.

reddit

Yeah, I would advice avoid openrouter chat. Just use it for comparison, then go to the provider's own website and use it for chat. Deepinfra and Nebius are the cheapest options at $2.4, with stable pricing. Open router also puts its own fees on top of the provider's costs.

3

Quantization Compatibility: Non-FP8 Models May Produce Unreliable Output

medium support

At least one user reports that models on DeepInfra do not function correctly unless running in FP8 quantization. Selecting non-FP8 variants may result in degraded or incorrect outputs, leading to wasted compute on re-runs or requiring migration to FP8-specific model endpoints.

reddit

I only use DeepSeek and DeepInfra, As they're the cheapest but they're also the most reliable, I block the others as they are up there in their pricing but I notice that unless it's running FP8 it doesn't function correctly.

4

Limited Closed-Source Model Access Requires Supplemental Providers

medium addon

DeepInfra focuses exclusively on open-source models. Teams needing Claude, GPT-4o, or Gemini must maintain separate API accounts with Anthropic, OpenAI, or Google, adding billing overhead and integration complexity.

reddit

I'm currently using deepinfra, but they lack the more popular and powerful models.

Example: True Cost for 25 Users

License (25 × $41.26 × 12) $12,378/yr
Model Size Premium: Large Models Cost Significantly More +$0.02-$4.40
Third-Party Marketplace Markup +5-15% of license costs
Quantization Compatibility: Non-FP8 Models May Produce Unreliable Output +5-20% of license costs
Limited Closed-Source Model Access Requires Supplemental Providers +5-20% of license costs
Estimated Year 1 Total ~$21,043
That's roughly 1.7× the advertised license price.

Frequently Asked Questions

01 What hidden costs should I budget for with DeepInfra?

Beyond the license fee, budget for: Model Size Premium: Large Models Cost Significantly More ($0.02-$4.40); Third-Party Marketplace Markup (5-15% of license costs); Quantization Compatibility: Non-FP8 Models May Produce Unreliable Output (5-20% of license costs); Limited Closed-Source Model Access Requires Supplemental Providers (5-20% of license costs). Total ownership typically runs 70% higher than the listed price.

02 Does DeepInfra charge for implementation?

DeepInfra doesn't include implementation in the license cost. Implementation is typically done by partners and costs range from $5,000 for basic setup to $100,000+ for enterprise deployments with customization.

03 How much does DeepInfra support cost?

At least one user reports that models on DeepInfra do not function correctly unless running in FP8 quantization. Selecting non-FP8 variants may result in degraded or incorrect outputs, leading to wasted compute on re-runs or requiring migration to FP8-specific model endpoints. Estimated impact: 5-20% of license costs.

04 Are there overage or storage costs with DeepInfra?

DeepInfra's pricing scales sharply with model size. Small 2B-8B models can cost as little as $0. Estimated impact: $0.02-$4.40.

05 What add-ons cost extra with DeepInfra?

Many features marketed as part of DeepInfra are actually add-ons: advanced reporting, API access, integrations, and specialized modules. Each can add $10-$100+ per user per month.