vs
Anthropic vs Relace
Relace's small models apply edits, search codebases and compact context for coding agents. Anthropic supplies the model that writes the code. They are parts of one agent, not substitutes.
By The Subconscious Team · Updated
Anthropic vs Relace: key differences
Relace trains fast utility models for coding agents. Its relace-apply-3 merges a lazy edit snippet into the original file at about 10,000 tokens per second, with 128K tokens of input and output, and Relace says that runs over 3x faster and cheaper than having the big model rewrite the file. Its agentic search explores large codebases in parallel and answers in seconds, and a context compaction model runs at 50,000 tokens per second. Anthropic's Claude is the kind of frontier model Relace is designed to offload. Claude writes the edit, and Relace applies it.
Fit comes down to context size and deployment. Claude handles 1M tokens on its top tiers, while relace-apply-3 returns an error past 128K, so very large files need a fallback, often the frontier model itself. Relace offers self-hosted deployment with guided onboarding, which suits enterprises that keep code in-house, and a REST or OpenAI compatible endpoint. Pairing them is the practical choice: Claude for reasoning and code generation, Relace for merges, retrieval and compaction that would be slow and expensive to run on Fable 5.1.
What Anthropic and Relace do
Anthropic
Anthropic sells the Claude family of closed models through its own API, Amazon Bedrock, Google Vertex AI and Microsoft Foundry. The public lineup today runs from Claude Fable 5.1 at the top, released September 1, 2026, through Opus 5.5 ($4 in, $20 out) and Sonnet 5.5 ($2 in, $10 out) down to Haiku 5.5. List prices span a hundredfold range, from $10 in and $50 out on Fable to $0.10 in and $0.50 out on Haiku. All four tiers have a 1M token context window. The top three bill it at standard pricing, while Haiku 5.5 charges more past 100K.
Example models: Claude Fable 5.1, Claude Opus 5.5, Claude Haiku 5.5
Full Anthropic profileRelace
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 profileShould you choose Anthropic or Relace?
Anthropic vs Relace at a glance
| Attribute | Anthropic | Relace |
|---|---|---|
| Model access | Closed | Open weights, plus specialist coding models |
| Flagship models | Claude Fable 5.1, Opus 5.5, Sonnet 5.5, Haiku 5.5 | DeepSeek V4.1 Flash, Kimi K3, GLM 5.3, relace-apply-3 |
| Speed | Fable is the slowest tier | ~10,000 tok/s apply |
| Price | $0.10–$10 in, $0.50–$50 out per 1M | $0.07 in, $0.50 out (DeepSeek V4.1 Flash) |
| Customization | N/A | Unknown |
| Deployment | API, Bedrock, Vertex AI, Microsoft Foundry | Hosted API, OpenRouter or self-hosted |
| Long context | 1M; Haiku 5.5 costs more past 100K | 128K on apply; varies by open model |
Frequently asked questions
What is the difference between Anthropic and Relace?
Relace's small models apply edits, search codebases and compact context for coding agents. Anthropic supplies the model that writes the code. They are parts of one agent, not substitutes.
When should I choose Anthropic over Relace?
Writing the code changes in an agent loop; Files and contexts well past 128K tokens; Complex review and debugging.
When should I choose Relace over Anthropic?
Fast merges of Claude's edit snippets; Parallel search across large repositories; Self-hosted utility models for in-house code.
Is Anthropic or Relace cheaper?
Anthropic: $0.10–$10 in, $0.50–$50 out per 1M. Relace: $0.07 in, $0.50 out (DeepSeek V4.1 Flash). The cheaper choice depends on the model and workload.
Which has more context, Anthropic or Relace?
Anthropic: 1M; Haiku 5.5 costs more past 100K. Relace: 128K on apply; varies by open 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.