GPUy.dev
HomeCompareDeepInfra vs Together AI
Technical Head-to-Head Battle

Serverless Llama 3 70B Token Pricing Comparison: DeepInfra vs Together AI (2026)

Verdict: DeepInfra for Lowest Token Cost ($0.23/1M)
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.
DeepInfra logo

DeepInfra

Tier 3 Serverless Cloud
★ 4.9

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.

Stopped Storage$0/hr
Min DepositPay-as-you-go ($5 Free Credit)
Crypto / KYCCard Only
Explore DeepInfra on GPUy
Review & SpecsFull Pricing MatrixTCO CalculatorAll Alternatives
Deploy on DeepInfra Official Cloud
Together AI logo

Together AI

Tier 3 Serverless & Cluster Fabric
★ 4.8

Together AI powers inference and fine-tuning for leading open source models with proprietary FlashAttention kernels. Fast TTFT and sub-second generation speeds.

Stopped Storage$0/hr
Min DepositPay-as-you-go ($5 Free Credit)
Crypto / KYCCard Only
Explore Together AI on GPUy
Review & SpecsFull Pricing MatrixTCO CalculatorAll Alternatives
Deploy on Together AI Official Cloud
Serverless Token Showdown Matrix

Token Pricing & Throughput Benchmark

Comparing 7 open-weights AI models
Model NameDeepInfra Input / OutputTogether AI Input / OutputSpeed (Tokens/sec)Advantage
DeepSeek-R1LLM
$0.55 in / $2.19 out
per 1M tokens
$0.80 in / $2.40 out
per 1M tokens
DeepInfra: 65 t/s
Together AI: 72 t/s
DeepInfra 31% lower rate
Llama-3.3-70B-InstructLLM
$0.23 in / $0.40 out
per 1M tokens
$0.88 in / $0.88 out
per 1M tokens
DeepInfra: 85 t/s
Together AI: 92 t/s
DeepInfra 74% lower rate
Qwen-2.5-72B-InstructLLM
$0.35 in / $0.40 out
per 1M tokens
$0.90 in / $0.90 out
per 1M tokens
DeepInfra: 80 t/s
Together AI: 85 t/s
DeepInfra 61% lower rate
DeepSeek-V3LLM
$0.14 in / $0.28 out
per 1M tokens
$0.90 in / $0.90 out
per 1M tokens
DeepInfra: 75 t/s
Together AI: 85 t/s
DeepInfra 84% lower rate
Qwen-2.5-Coder-32B-InstructLLM
$0.12 in / $0.16 out
per 1M tokens
$0.40 in / $0.40 out
per 1M tokens
DeepInfra: 95 t/s
Together AI: 95 t/s
DeepInfra 70% lower rate
Meta-Llama-3.1-8B-InstructLLM
$0.05 in / $0.08 out
per 1M tokens
$0.18 in / $0.18 out
per 1M tokens
DeepInfra: 160 t/s
Together AI: 140 t/s
DeepInfra 72% lower rate
FLUX.1-devIMAGE
$0.025 / image
per generated image
$0.035 / image
per generated image		Stateless APIDeepInfra 29% lower rate
In-Depth Engineering Evaluation

Serverless Llama 3 70B Token Pricing Comparison: DeepInfra vs Together AI (2026): Architecture, Pricing & Developer Evaluation (2026)

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.

Decision Matrix: Which Platform Fits Your Infrastructure?

Choose DeepInfra if:
  • You prefer DeepInfra's infrastructure model (Tier 3 Serverless Cloud).
  • Your billing model aligns with Per Million Tokens accounting and Included in Token Pricing network egress.
  • You require fully managed serverless API endpoints with zero container maintenance.
  • You require enterprise corporate invoicing and compliant billing documentation.
Choose Together AI if:
  • You want to leverage Together AI's specialized platform (Tier 3 Serverless & Cluster Fabric).
  • Your budget favors Together AI's cost profile with $0 (Serverless) / VPC Dedicated rates.
  • You prefer direct control over container runtimes and local NVMe scratch disks.
  • You prioritize SOC-2 certified datacenter infrastructure and enterprise team management.

1. Platform Architecture & Infrastructure Philosophy: DeepInfra vs Together AI

DeepInfra and Together AI address modern AI compute requirements through distinct architectural choices. DeepInfra is structured as a SERVERLESS API, focusing on DeepInfra hosts state-of-the-art open source models including DeepSeek-R1, Llama 3.3, and Flux with industry-leading token prices. Fully compatible wi...

Conversely, Together AI emphasizes Tier 3 Serverless & Cluster Fabric with Per Million Tokens billing. When choosing between these platforms, the primary consideration is whether your team benefits more from DeepInfra's execution model or Together AI's deployment ergonomics.

2. Cost Transparency: Billing Precision, Storage Accumulation & Egress

A frequent trap in AI infrastructure planning is focusing solely on advertised hourly GPU or per-token prices while overlooking secondary operational fees. DeepInfra utilizes Per Million Tokens billing with Included in Token Pricing network egress, while Together AI bills on a Per Million Tokens cadence with $0 (Serverless) / VPC Dedicated fees.

For interactive development where containers are stopped and started throughout the day, DeepInfra's storage model should be evaluated against Together AI's data retention policy to prevent idle storage cost accumulation over a 30-day billing cycle.

3. Developer Experience & Integration Workflow

In production deployments, the speed of developer iteration depends heavily on container startup latency and API compatibility. DeepInfra provides streamlined serverless API abstractions, enabling rapid deployment.

Together AI delivers container-level isolation with custom volume mounts. Teams should evaluate which developer interface integrates more cleanly with their existing CI/CD and monitoring pipelines.

Workload Sweet Spots: Real-World Scenario Recommendations

Low-Latency Real-Time API InferenceWinner: DeepInfra

Based on architectural benchmarks, DeepInfra offers optimal latency and cost balance for this workload.

High-Volume Batch Processing & RAG Context IngestionWinner: Together AI

Fine-grained billing precision and reliable network throughput make this platform advantageous for prolonged computing tasks.

Frequently Asked Technical Questions

How does DeepInfra pricing compare to Together AI?

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. Review the side-by-side pricing matrix above for specific GPU and token rates.

Can I migrate workloads between DeepInfra and Together AI?

Yes. Standard Docker containers and OpenAI-compatible API schemas make migrating between DeepInfra and Together AI straightforward with minimal configuration changes.

Architecture & DevOps Capabilities Breakdown

Technical DimensionDeepInfraTogether AI
Billing Model & PrecisionPer Million TokensPer Million Tokens
Min Deposit / Pay-as-you-goPay-as-you-go ($5 Free Credit)Pay-as-you-go ($5 Free Credit)
Network Egress CostIncluded in Token PricingIncluded
Storage Pricing$0 (Pay-per-token API)$0 (Serverless) / VPC Dedicated
Stopped Volume Storage Fee$0/hr (No persistent disk or idle fees)$0/hr for Serverless endpoints
Persistent Disk Preservation on StopEphemeral OnlyEphemeral Only
Docker & Root SSH AccessAPI OnlyFull Root SSH
Payment & AnonymityCredit Card KYCCredit Card KYC

DeepInfra Pros & Cons

Pros
Lowest 70B pricing on the web ($0.23/1M in, $0.40/1M out)
Warm standby with sub-400ms time-to-first-token
OpenAI SDK drop-in compatible
Cons
Smaller enterprise tooling ecosystem than Together

Together AI Pros & Cons

Pros
High-throughput (>110 t/s) with FlashAttention optimizations
Dedicated fine-tuning endpoints & custom LoRA weights
SOC2 Type II certified infrastructure
Cons
Higher token pricing ($0.88/1M tokens)

Field Intelligence & Known Gotchas Showdown

Watch Out For (Known Quirks & Pitfalls)
  • •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).
Pro Tips & Optimization Hacks
  • ✓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.
Hidden Cost Radar
Stopped Storage:$0.00 (Pure pay-per-token API; zero idle storage fees)
Egress Bandwidth:Free / Included in token and image pricing
Billing Increment:Per Token / Per Image
Min Deposit:$5.00 via Credit Card or Crypto
Interconnect & Fabric
NVSwitch Bandwidth:Enterprise datacenter backplane across GPU server pods
Cluster Fabric:Low-latency tensor parallel fabrics within serving pods
P2P Reliability:EXCELLENT
Datacenter:Tier 3/4 North American & European Datacenters
DevOps & Automation
Direct SSH (Port 22):✕ Web Terminal
CLI & Python SDK:✓ Official SDK
SkyPilot & Terraform:Manual Orchestration
Spot Notice Buffer:Fully managed serverless endpoints with multi-datacenter failover
Recommended Workloads:High-volume, cost-sensitive production SaaS applications • Open-source LLM inference (DeepSeek-V3, DeepSeek-R1, Llama 3.3 70B) • Stateless FLUX.1 image generation and text embeddings
Avoid Using For:Multi-day distributed model training runs • Low-level CUDA kernel experimentation
Watch Out For (Known Quirks & Pitfalls)
  • •Dedicated GPU endpoints carry hourly minimum commitments; serverless shared endpoints can experience minor latency variance during global traffic peaks.
  • •Custom model fine-tuning jobs require pre-validating dataset JSONL formats to prevent ingestion failures.
  • •Default rate limits on free or tier-1 accounts require submitting an upgrade request for massive concurrency (>100 RPS).
Pro Tips & Optimization Hacks
  • ✓Comprehensive developer ecosystem: combines Serverless API, Dedicated Endpoints, and Custom Fine-Tuning under one unified dashboard.
  • ✓Pioneered serverless LoRA hot-swapping: serve hundreds of customer-specific fine-tuned adapters on a shared base model cluster at zero extra infrastructure cost.
  • ✓Engineered with custom FlashAttention-3 and high-throughput inference kernels, delivering exceptional tokens-per-second on 70B models.
Hidden Cost Radar
Stopped Storage:$0.00 on Serverless ($0.10/GB on Dedicated Endpoint Volumes)
Egress Bandwidth:Free / Included in token pricing
Billing Increment:Per Token / Per Second (Dedicated)
Min Deposit:$5.00 via Credit Card or Enterprise Invoicing
Interconnect & Fabric
NVSwitch Bandwidth:3.2 TB/s NVSwitch across multi-GPU Hopper clusters
Cluster Fabric:Non-blocking RoCE v2 and InfiniBand networking
P2P Reliability:EXCELLENT
Datacenter:Tier 4 Enterprise AI Datacenter Facilities
DevOps & Automation
Direct SSH (Port 22):✕ Web Terminal
CLI & Python SDK:✓ Official SDK
SkyPilot & Terraform:Manual Orchestration
Spot Notice Buffer:Automated high-availability failover and geographic routing
Recommended Workloads:Enterprise-grade open LLM generation and custom fine-tuning • Dynamic multi-tenant LoRA adapter serving • Multimodal image synthesis with FLUX.1-dev ($0.035/image) and FLUX.1-schnell
Avoid Using For:Unmodified raw Linux host root SSH access • Disposable $0.15/hr budget hobbyist setups

Other Relevant GPU Cloud Battles

All Comparisons
DeepInfra for Cost, Together AI for Enterprise Features
Together AI vs DeepInfra: Serverless Token Pricing & Speed (2026)

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.

Fireworks for LoRA Hot-Swapping & Speed | Together AI for Multimodal & Fine-Tuning
Fireworks AI vs Together AI: Speculative Decoding & Serverless LoRA Face-Off

Fireworks AI is the top pick for production engineers needing low-latency inference with custom LoRAs hot-swapped dynamically without base model rental fees. Together AI provides a wider foundation model catalog, native end-to-end model fine-tuning jobs, and broader multimodal image APIs including FLUX.1.

Replicate for Turnkey Developer Speed | Together AI for Production Token Scale
Replicate vs Together AI: Turnkey Model APIs vs High-Throughput Inference Engine

Replicate is the easiest platform for web and mobile developers to integrate generative AI models with a single line of SDK code (replicate.run(...)) and turnkey webhook delivery. Together AI provides superior economics for high-volume enterprise production inference, lower per-million token rates, and native model fine-tuning jobs.

Mistral for EU Sovereignty & Codestral | Together AI for Multi-Model Variety
Mistral AI vs Together AI: European Frontier Lab vs Open-Source Multi-Cloud Engine

Mistral AI's La Plateforme is the gold standard for enterprises requiring 100% European data residency, GDPR compliance, and direct access to flagship models like Mistral Large 2 and Codestral-2501 (256k context). Together AI provides a wider multi-architecture catalog (DeepSeek, Llama, Flux) with lower token rates for non-EU workloads.