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Together AI vs OpenScale

Together AI covers serverless, dedicated, clusters and fine-tuning across 30+ open models. OpenScale sells one open model at a lower per-token price.

By The Subconscious Team · Updated

Together AI vs OpenScale: key differences

Together AI runs a broad open-model platform with serverless and batch inference, provisioned throughput with a 99% SLA, GPU clusters, LoRA and full fine-tuning, and RL in beta. Its catalog includes GLM 5.3, Kimi K3, Qwen 3.8 and DeepSeek V4.1 Flash. OpenScale's own comparison lists Together at $0.30 in and $1.20 out on DeepSeek V4.1 Flash, against OpenScale's promotional $0.06 in and $0.24 out.

Together is the pick when a team needs model choice, training or dedicated capacity on one bill. OpenScale is the pick when the workload is DeepSeek V4.1 Flash and price per token is the main number, as in cache-heavy coding agents.

What Together AI and OpenScale 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 GLM 5.3, DeepSeek V4.1 Flash, DeepSeek V4 Pro 0813, Kimi K3, 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, GLM 5.3, DeepSeek V4.1 Flash

Full Together AI profile

OpenScale

OpenScale is a Y Combinator-backed inference API built by LatentSpace and run out of Singapore. It sells open models behind one endpoint that speaks Chat Completions, the OpenAI Responses API and Anthropic Messages, so Claude Code, Codex, OpenCode, Cline, GitHub Copilot, Zed and other coding agents can point at it with a base URL and key. Its public catalog today is DeepSeek V4.1 Flash in two versions, standard and fast, both with a 1M token context window and up to 384K output tokens.

Example models: DeepSeek V4.1 Flash

Full OpenScale profile

Should you choose Together AI or OpenScale?

Together AI

Choose Together AI for

  • Fine-tuning or RL, then serving the checkpoint
  • A broad catalog of open models
  • Dedicated capacity with an SLA

OpenScale

Choose OpenScale for

  • Cheaper DeepSeek V4.1 Flash calls
  • Cache-heavy coding agents
  • No-minimum prepaid billing

Together AI vs OpenScale at a glance

AttributeTogether AIOpenScale
Model accessOpen weightsOpen weights
Flagship modelsKimi K3, GLM 5.3, DeepSeek V4.1 Flash, Qwen 3.8DeepSeek V4.1 Flash
Speed0.99s TTFT on DeepSeek V4 Pro200+ tok/s; fast tier ~2x
PriceParity with Fireworks and Baseten$0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash)
CustomizationLoRA and full SFT; RL in betaN/A
DeploymentServerless, dedicated, GPU clustersServerless API
Long context512K on DeepSeek V4 Pro 08131M context

Frequently asked questions

What is the difference between Together AI and OpenScale?

Together AI covers serverless, dedicated, clusters and fine-tuning across 30+ open models. OpenScale sells one open model at a lower per-token price.

When should I choose Together AI over OpenScale?

Fine-tuning or RL, then serving the checkpoint; A broad catalog of open models; Dedicated capacity with an SLA.

When should I choose OpenScale over Together AI?

Cheaper DeepSeek V4.1 Flash calls; Cache-heavy coding agents; No-minimum prepaid billing.

Is Together AI or OpenScale cheaper?

Together AI: Parity with Fireworks and Baseten. OpenScale: $0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash). The cheaper choice depends on the model and workload.

Which has more context, Together AI or OpenScale?

Together AI: 512K on DeepSeek V4 Pro 0813. OpenScale: 1M context.

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 OpenScale