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Together AI vs DeepInfra

DeepInfra is the price floor for shared open-model tokens. Together charges more but adds fine-tuning, deployment controls and GPU clusters.

By The Subconscious Team · Updated

Together AI vs DeepInfra: key differences

DeepInfra wins the per-token contest. Llama 3.1 8B runs $0.02 per million and DeepSeek V4 Flash $0.14 in and $0.28 out, with no minimums or contracts across 150+ models. Part of that edge is quantization: DeepInfra serves DeepSeek V4 Pro in FP4 with context capped at 66K, and reviewers report weaker output unless they pin FP8. Together prices at parity with Fireworks and Baseten, not at the floor. In return it offers a fuller platform: provisioned throughput with a 99% SLA, dedicated deployments with canary and shadow-traffic rollouts, and raw GPU clusters.

Training is the sharpest split. DeepInfra has no managed fine-tuning, so custom models get trained somewhere else. Together runs LoRA and full SFT from $0.48 per million training tokens and has RL in beta, with checkpoints that deploy straight to inference. For bulk tagging, extraction and synthetic data where cost per token dominates, DeepInfra is the natural pick, after checking precision per model. For production systems that need custom weights or rollout controls, Together fits better.

What Together AI and DeepInfra do

Together AI

Together AI is the broadest open-model platform in the category. One bill covers per-token serverless inference, batch at up to 50% off, provisioned throughput with a 99% SLA, dedicated deployments, raw GPU clusters, managed fine-tuning and code sandboxes for agents. The text catalog runs past thirty open models, including DeepSeek V4, Kimi K3, GLM 5.2, Qwen 3.8 and MiniMax M3, plus image, video, speech and embedding models. Token prices sit at parity with Fireworks and Baseten.

Example models: Kimi K3, DeepSeek V4 Pro

Full Together AI profile

DeepInfra

DeepInfra is the price floor for open-model inference. Developers treat it as the reference point for what a token should cost, with small models like Llama 3.1 8B at $0.02 per million and DeepSeek V4 Flash at $0.14 in and $0.28 out. The catalog covers 150+ open models across text, image and speech behind a fully OpenAI-compatible API. There are no minimums, setup fees or contracts on the shared API.

Example models: DeepSeek V4 Flash, Llama 3.1 8B

Full DeepInfra profile

Should you choose Together AI or DeepInfra?

Together AI

Choose Together AI for

  • Fine-tuning then serving the result on one platform
  • Production rollouts with A/B routing and shadow traffic
  • Reserved GPU clusters for experiments

DeepInfra

Choose DeepInfra for

  • Bulk extraction and tagging where price per token decides
  • Budget backends for consumer chat apps
  • No-contract access to 150+ open models

Together AI vs DeepInfra at a glance

AttributeTogether AIDeepInfra
Model accessOpen weightsOpen weights
Flagship modelsKimi K3, DeepSeek V4, GLM 5.2, Qwen 3.8DeepSeek V4 Flash, Llama 3.1 8B
Speed0.99s TTFT on DeepSeek V4 Pro~33 tok/s on DeepSeek V4 Pro (FP4)
PriceParity with Fireworks and BasetenFrom $0.02 per 1M
CustomizationLoRA and full SFT; RL in betaNo managed fine-tuning
DeploymentServerless, dedicated, GPU clustersShared API, no contracts
Long context512K on DeepSeek V4 Pro66K on FP4 DeepSeek V4 Pro

Frequently asked questions

What is the difference between Together AI and DeepInfra?

DeepInfra is the price floor for shared open-model tokens. Together charges more but adds fine-tuning, deployment controls and GPU clusters.

When should I choose Together AI over DeepInfra?

Fine-tuning then serving the result on one platform; Production rollouts with A/B routing and shadow traffic; Reserved GPU clusters for experiments.

When should I choose DeepInfra over Together AI?

Bulk extraction and tagging where price per token decides; Budget backends for consumer chat apps; No-contract access to 150+ open models.

Is Together AI or DeepInfra cheaper?

Together AI: Parity with Fireworks and Baseten. DeepInfra: From $0.02 per 1M. The cheaper choice depends on the model and workload.

Which has more context, Together AI or DeepInfra?

Together AI: 512K on DeepSeek V4 Pro. DeepInfra: 66K on FP4 DeepSeek V4 Pro.

Related comparisons

Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.

Subconscious vs Together AISubconscious vs DeepInfra