DeepInfra vs Together AI

Side-by-side — pricing, strengths, tradeoffs, and fit.

DeepInfra

Low-cost API for running open-source models with simple per-token pricing.

Together AI

Fast, low-cost inference for open-source LLMs, plus fine-tuning.

At a glance

Free TierEnterprise
● Established·From Usage-based (per token)
Free TierEnterprise
● Established·From Usage-based (per token)

Overview

One-liner

Low-cost API for running open-source models with simple per-token pricing.

One-liner

Fast, low-cost inference for open-source LLMs, plus fine-tuning.

Maturity

Established

Maturity

Established

Open source

✕ No

Open source

✕ No

Pricing

Free tier

✓ Available

Free credits to start

Free tier

✓ Available

Free credits for new users

Starts at

Usage-based (per token)

Starts at

Usage-based (per token)

Model

Usage-based

Model

Usage-based

Enterprise

✓ Available

Enterprise

✓ Available

Best for

✓ Best for

Cheapest open-model inferenceSimple per-token API
High-volume open-LLM servingLow cost at scale

✓ Best for

Serving open-source LLMs cheaplyFast API over many open models
Fine-tuning and dedicated hostingCustomize and scale

Not ideal for

✕ Not for

—

✕ Not for

—

Strengths

↑ Strengths

Very low per-token pricing
Simple API
Wide model selection

↑ Strengths

Huge open-model catalog
Competitive token pricing
Fine-tuning + dedicated endpoints

Weaknesses

↓ Weaknesses

Fewer production features

↓ Weaknesses

Cold starts on serverless
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