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RunInfra vs OpenScale
RunInfra hosts five open models and builds tuned deployments with an agent. OpenScale sells one model, DeepSeek V4.1 Flash, at lower promo prices.
By The Subconscious Team · Updated
RunInfra vs OpenScale: key differences
RunInfra's Model APIs serve Nemotron 3.5 Lightning 30B, Qwen 3.8 27B, GLM 5.3 Flash, DeepSeek V4.1 Flash and one more, with DeepSeek V4.1 Flash at $0.14 in and $0.58 out and coding plans from $10 a month. Its second product is an agent that benchmarks GPUs and quantized variants, then ships a custom endpoint. OpenScale, a Y Combinator-backed API out of Singapore, serves DeepSeek V4.1 Flash at $0.06 in, $0.003 cached and $0.24 out per million tokens under a 50% promotion, at 200+ tokens per second, with a fast tier at about twice the speed.
Both sell cheap open models to coding agents through OpenAI- and Anthropic-compatible APIs. RunInfra is the pick for flat-rate plans, a wider small-model library or a custom deployment built for you. OpenScale is the pick for the lowest per-token price on DeepSeek V4.1 Flash.
What RunInfra and OpenScale do
RunInfra
RunInfra pitches open models built for agents, with two ways in. Its hosted Model APIs serve a five-model library, including Nemotron 3.5 Lightning 30B, Qwen 3.8 27B, Ornith 1.5 35B, GLM 5.3 Flash and DeepSeek V4.1 Flash, behind one key that works with both the OpenAI and Anthropic SDKs. Prices run from $0.05 in and $0.15 out on Nemotron to $0.14 in and $0.58 out on DeepSeek V4.1 Flash, and cached input starts at $0.01. 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 profileOpenScale
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 profileShould you choose RunInfra or OpenScale?
RunInfra vs OpenScale at a glance
| Attribute | RunInfra | OpenScale |
|---|---|---|
| Model access | Open weights | Open weights |
| Flagship models | Nemotron 3.5 Lightning 30B, Qwen 3.8 27B | DeepSeek V4.1 Flash |
| Speed | ~541 tok/s on Nemotron 3.5 Lightning 30B (vendor); cold starts under 2s | 200+ tok/s; fast tier ~2x |
| Price | From $0.05 in, $0.15 out; coding plans from $10 a month | $0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash) |
| Customization | Uploads up to 50 GB; auto-quantization | N/A |
| Deployment | Model APIs, agent-built endpoints | Serverless API |
| Long context | Varies by model | 1M context |
Frequently asked questions
What is the difference between RunInfra and OpenScale?
RunInfra hosts five open models and builds tuned deployments with an agent. OpenScale sells one model, DeepSeek V4.1 Flash, at lower promo prices.
When should I choose RunInfra over OpenScale?
Flat-rate coding plans; Agent-built custom endpoints; Small, fast models like Nemotron 3.5 Lightning.
When should I choose OpenScale over RunInfra?
Lower per-token prices on DeepSeek V4.1 Flash; Very cheap cached input; Zero data retention by default.
Is RunInfra or OpenScale cheaper?
RunInfra: From $0.05 in, $0.15 out; coding plans from $10 a month. 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, RunInfra or OpenScale?
RunInfra: Varies by model. 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.