vs
Relace vs RunInfra
RunInfra offers cheap coding plans on mid-size open models and auto-built endpoints. Relace offers fast apply, search and compaction models. One supplies the agent's model, the other its tools.
By The Subconscious Team · Updated
Relace vs RunInfra: key differences
RunInfra and Relace both target developers building with coding agents, from different sides. RunInfra supplies the main model: a small library including Nemotron 3.5 Lightning 30B and Qwen 3.8 27B, on coding plans from $10 a month that plug into Claude Code, Codex, OpenCode, Cline and Aider. It also has an agent that benchmarks models across GPUs, quantizes them and ships scale-to-zero endpoints. Relace supplies tools the main model calls: relace-apply-3 for merges at about 10,000 tokens per second, agentic search and a compaction model.
Pairing them makes sense for a lean team. A mid-size open model on RunInfra writes edit snippets cheaply, and Relace applies them without a full-file rewrite, which Relace says is over 3x faster and cheaper. Most of RunInfra's models are mid-size, with GLM 5.3 as its frontier-class option, and the company has little independent benchmarking. Relace's apply model errors past 128K tokens, and its open-model catalog is small. For self-hosting, Relace offers guided onboarding, while RunInfra accepts custom uploads up to 50 GB.
What Relace and RunInfra do
Relace
Relace started out training small, fast models that act as tools for coding agents, and by October 2026 its homepage led with open-model inference instead. It says it served 30 trillion tokens in the 30 days to late October and ranks among the top providers on OpenRouter. The hosted catalog covers DeepSeek V4 Pro, V4 Flash and V4.1 Flash, Kimi K3, GLM 5.3, GLM 5.3 Flash and GLM 5.2 over OpenAI and Anthropic compatible APIs, billed per token with no subscription. Prices run from $0.07 in and $0.14 out per million tokens on DeepSeek V4 Flash to $2.00 in and $14.00 out on Kimi K3, and Relace says it reprices often.
Example models: DeepSeek V4.1 Flash, Kimi K3, GLM 5.3, relace-apply-3
Full Relace profileRunInfra
RunInfra pitches open models built for agents, with two ways in. Its hosted Model APIs serve an eight-model library, including Nemotron 3.5 Lightning 30B, Qwen 3.8 27B, Ornith 1.5 35B and 122B, GLM 5.3, GLM 5.3 Flash and two versions of 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 $1.30 in and $4.20 out on GLM 5.3, 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 profileShould you choose Relace or RunInfra?
Relace vs RunInfra at a glance
| Attribute | Relace | RunInfra |
|---|---|---|
| Model access | Open weights, plus specialist coding models | Open weights |
| Flagship models | DeepSeek V4.1 Flash, Kimi K3, GLM 5.3, relace-apply-3 | Nemotron 3.5 Lightning 30B, Qwen 3.8 27B |
| Speed | ~10,000 tok/s apply | ~541 tok/s on Nemotron 3.5 Lightning 30B (vendor); cold starts under 2s |
| Price | $0.07 in, $0.50 out (DeepSeek V4.1 Flash) | From $0.05 in, $0.15 out; coding plans from $10 a month |
| Customization | Unknown | Uploads up to 50 GB; auto-quantization |
| Deployment | Hosted API, OpenRouter or self-hosted | Model APIs, agent-built endpoints |
| Long context | 128K on apply; varies by open model | Varies by model |
Frequently asked questions
What is the difference between Relace and RunInfra?
RunInfra offers cheap coding plans on mid-size open models and auto-built endpoints. Relace offers fast apply, search and compaction models. One supplies the agent's model, the other its tools.
When should I choose Relace over RunInfra?
Applying edits and searching repos for any agent; Cutting the main model's output tokens; Enterprises self-hosting coding tools.
When should I choose RunInfra over Relace?
A cheap main model inside agent CLIs; Auto-quantized endpoints without ML ops staff; Voice pipelines alongside coding work.
Is Relace or RunInfra cheaper?
Relace: $0.07 in, $0.50 out (DeepSeek V4.1 Flash). RunInfra: From $0.05 in, $0.15 out; coding plans from $10 a month. The cheaper choice depends on the model and workload.
Which has more context, Relace or RunInfra?
Relace: 128K on apply; varies by open model. 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.