vs
Parasail vs Relace
Relace makes small models for coding-agent chores like apply and search. Parasail serves general open models. One is a tool, the other the platform under the main model.
By The Subconscious Team · Updated
Parasail vs Relace: key differences
Relace builds utilities for coding agents. relace-apply-3 merges edits at about 10,000 tokens per second with 128K tokens of input and output, Relace's compaction model runs at 50,000 tokens per second, and agentic search explores large codebases in parallel. It has no general-purpose model serving. Parasail is general serving on aggregated GPUs, with any Hugging Face model available on real-time or batch tiers. In a coding product, the two would handle separate calls: a Parasail-hosted model plans and writes, and Relace applies the edits and searches the repo.
Enterprise terms differ. Relace offers self-hosted deployment for enterprises that keep code in-house. Parasail works through contracts, with a standard ZDR and SLA agreement that many customers use while moving workloads off closed-model vendors. Relace errors past 128K tokens, so a general model hosted on Parasail could act as the fallback for oversized files. For PR review pipelines, Parasail's half-price batch can run the review model across many diffs while Relace handles repo search.
What Parasail and Relace do
Parasail
Parasail calls itself the inference cloud for AI-native startups. Instead of owning data centers, it aggregates GPUs from many hardware providers and sells them through one OpenAI-compatible API. Customers choose serverless per-token endpoints, Elastic Endpoints that scale with traffic and bill only for tokens used, dedicated deployments with negotiated latency SLAs, or batch. Its commit-to-spend model lets one commitment draw down across any model or hardware.
Example models: GTE-Qwen2, Qwen3-VL-8B-Instruct
Full Parasail profileRelace
Relace trains small, fast models that act as tools for coding agents. Its best-known product is Instant Apply: a frontier model writes a lazy edit snippet, and relace-apply-3 merges it into the original file at about 10,000 tokens per second with 128K tokens of input and output. Relace says this runs over 3x faster and cheaper than having the big model rewrite the file. It exposes both a REST endpoint and an OpenAI-compatible one, and the model is also listed on OpenRouter.
Example models: relace-apply-3, Relace agentic search
Full Relace profileShould you choose Parasail or Relace?
Parasail vs Relace at a glance
| Attribute | Parasail | Relace |
|---|---|---|
| Model access | Any Hugging Face model | Specialist models |
| Flagship models | GTE-Qwen2, Qwen3-VL-8B-Instruct | relace-apply-3, agentic search |
| Speed | 600ms p99 real-time budget | ~10,000 tok/s apply |
| Price | Per-parameter rates; batch 50% off | 3x+ cheaper than full rewrites |
| Customization | Private Hugging Face repos | Unknown |
| Deployment | Serverless, elastic, dedicated, batch | Hosted API or self-hosted |
| Long context | Varies by model | 128K max |
Frequently asked questions
What is the difference between Parasail and Relace?
Relace makes small models for coding-agent chores like apply and search. Parasail serves general open models. One is a tool, the other the platform under the main model.
When should I choose Parasail over Relace?
General model serving under ZDR terms; Fallback model for files past 128K; Batch review runs across many diffs.
When should I choose Relace over Parasail?
Instant apply for AI code edits; Parallel codebase search in seconds; Self-hosted coding tools.
Is Parasail or Relace cheaper?
Parasail: Per-parameter rates; batch 50% off. Relace: 3x+ cheaper than full rewrites. The cheaper choice depends on the model and workload.
Which has more context, Parasail or Relace?
Parasail: Varies by model. Relace: 128K max.
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.