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Together AI vs RunInfra

RunInfra offers a tiny hosted library, cheap coding plans and an agent that builds deployments. Together offers the broad catalog and managed training RunInfra lacks.

By The Subconscious Team · Updated

Together AI vs RunInfra: key differences

RunInfra is a 2026 startup with two products. Its Model APIs serve a small set of mid-size models, like Nemotron 3.5 Lightning 30B and Qwen 3.8 27B, through one key that works with OpenAI and Anthropic SDKs, with coding plans from $10 a month. Its second product is an agent that takes a plain-English endpoint request, benchmarks GPUs from L4 to B200, searches quantized variants and ships an endpoint that scales to zero with cold starts under two seconds. Together serves frontier-scale open models such as Kimi K3 and DeepSeek V4 across thirty-plus text models.

Quality ceiling and track record favor Together. RunInfra's own downsides note its library is far from frontier quality and it has little independent benchmarking. Together adds managed LoRA, full SFT and RL, provisioned throughput with a 99% SLA and reserved clusters. RunInfra fits small teams without ML ops staff who want a tuned mid-size model or a voice pipeline chaining Whisper, an LLM and TTS, and developers wanting a cheap model in Claude Code or Codex. Together fits heavier production and training work.

What Together AI and RunInfra 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

RunInfra

RunInfra pitches open models built for agents, with two ways in. Its hosted Model APIs serve a small curated library, including Nemotron 3.5 Lightning 30B, Qwen 3.8 27B and Ornith 1.5 35B, behind one key that works with both the OpenAI and Anthropic SDKs. Cached context bills at a discount. Coding plans start at $10 a month with limits that reset every five hours and every week, and they plug into Claude Code, Codex, OpenCode, Cline, Aider and dozens of other agent CLIs.

Example models: Nemotron 3.5 Lightning 30B, Qwen 3.8 27B

Full RunInfra profile

Should you choose Together AI or RunInfra?

Together AI

Choose Together AI for

  • Frontier-scale open models like Kimi K3
  • Managed fine-tuning and RL
  • Provisioned throughput with a 99% SLA

RunInfra

Choose RunInfra for

  • Cheap flat-rate coding plans from $10 a month
  • Automated benchmarking and quantization for a latency target
  • Voice pipelines without ML ops staff

Together AI vs RunInfra at a glance

AttributeTogether AIRunInfra
Model accessOpen weightsOpen weights
Flagship modelsKimi K3, DeepSeek V4, GLM 5.2, Qwen 3.8Nemotron 3.5 Lightning 30B, Qwen 3.8 27B
Speed0.99s TTFT on DeepSeek V4 ProCold starts under 2s
PriceParity with Fireworks and BasetenCoding plans from $10 a month
CustomizationLoRA and full SFT; RL in betaUploads up to 50 GB; auto-quantization
DeploymentServerless, dedicated, GPU clustersModel APIs, agent-built endpoints
Long context512K on DeepSeek V4 ProVaries by model

Frequently asked questions

What is the difference between Together AI and RunInfra?

RunInfra offers a tiny hosted library, cheap coding plans and an agent that builds deployments. Together offers the broad catalog and managed training RunInfra lacks.

When should I choose Together AI over RunInfra?

Frontier-scale open models like Kimi K3; Managed fine-tuning and RL; Provisioned throughput with a 99% SLA.

When should I choose RunInfra over Together AI?

Cheap flat-rate coding plans from $10 a month; Automated benchmarking and quantization for a latency target; Voice pipelines without ML ops staff.

Is Together AI or RunInfra cheaper?

Together AI: Parity with Fireworks and Baseten. RunInfra: Coding plans from $10 a month. The cheaper choice depends on the model and workload.

Which has more context, Together AI or RunInfra?

Together AI: 512K on DeepSeek V4 Pro. RunInfra: Varies by model.

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 RunInfra