Fireworks AI vs RunInfra

RunInfra offers cheap coding plans and an agent that builds deployments for mid-size models. Fireworks offers frontier-class open models and managed training.

By The Subconscious Team · Updated September 30, 2026

Fireworks AI vs RunInfra: key differences

Model size is the first difference. RunInfra's hosted library is tiny and centered on mid-size models like Nemotron 3.5 Lightning 30B and Qwen 3.8 27B, which its own profile places far from frontier quality. Fireworks serves 400+ models, including large ones like DeepSeek V4 Pro at full 1M context and Kimi K3. RunInfra's hook is automation: describe an endpoint in plain English, and its agent picks a model, benchmarks it on GPUs from L4 to B200, searches quantized variants and ships an endpoint that scales to zero with cold starts under two seconds.

For individual developers, RunInfra's coding plans from $10 a month plug into Claude Code, Codex, OpenCode, Cline and Aider. For small teams, the deployment agent and voice pipelines chaining Whisper, an LLM and TTS remove ML ops work. Fireworks answers with managed SFT, DPO and RL, fine-tunes served at base price, SOC 2, HIPAA and ISO, and a much longer track record. RunInfra is a young company with little independent benchmarking. Frontier-class open models in production belong on Fireworks.

What Fireworks AI and RunInfra do

Fireworks AI

Fireworks AI was founded in 2022 by former Meta PyTorch engineers led by CEO Lin Qiao, and it sells speed on open models. Its custom serving stack has posted 167 to 174 tokens per second on DeepSeek V4 Pro in third-party measurements, several times what most GPU peers hit on the same model. The catalog holds 400+ models across text, vision, audio and embeddings, served through an OpenAI-compatible API. In July 2026 it raised a $1.505B Series D at a $17.5B valuation, with a reported $1B+ run rate and 40T+ tokens a day.

Example models: DeepSeek V4 Pro, Kimi K3

Full Fireworks 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 Fireworks AI or RunInfra?

Fireworks AI

Choose Fireworks AI for

Large open models like DeepSeek V4 Pro and Kimi K3
Managed RL and SFT with tuned models at base price
Enterprise buyers needing certifications and a track record

RunInfra

Choose RunInfra for

Cheap flat-rate open models inside Claude Code or Codex
Small teams deploying a voice pipeline without ML ops staff
Auto-quantized endpoints tuned to a latency target

Fireworks AI vs RunInfra at a glance

Attribute	Fireworks AI	RunInfra
Model access	Open weights	Open weights
Flagship models	DeepSeek V4 Pro, Kimi K3	Nemotron 3.5 Lightning 30B, Qwen 3.8 27B
Speed	167–174 tok/s on DeepSeek V4 Pro	Cold starts under 2s
Price	Fine-tunes served at base price	Coding plans from $10 a month
Customization	SFT, DPO, RFT; Training API	Uploads up to 50 GB; auto-quantization
Deployment	Serverless, dedicated GPUs	Model APIs, agent-built endpoints
Long context	Full 1M on DeepSeek V4 Pro	Varies by model

Frequently asked questions

What is the difference between Fireworks AI and RunInfra?

RunInfra offers cheap coding plans and an agent that builds deployments for mid-size models. Fireworks offers frontier-class open models and managed training.

When should I choose Fireworks AI over RunInfra?

Large open models like DeepSeek V4 Pro and Kimi K3; Managed RL and SFT with tuned models at base price; Enterprise buyers needing certifications and a track record.

When should I choose RunInfra over Fireworks AI?

Cheap flat-rate open models inside Claude Code or Codex; Small teams deploying a voice pipeline without ML ops staff; Auto-quantized endpoints tuned to a latency target.

Is Fireworks AI or RunInfra cheaper?

Fireworks AI: Fine-tunes served at base price. RunInfra: Coding plans from $10 a month. The cheaper choice depends on the model and workload.

Which has more context, Fireworks AI or RunInfra?

Fireworks AI: Full 1M on DeepSeek V4 Pro. RunInfra: Varies by model.

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