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Subconscious vs Morph
Morph merges coding-agent edits at 10,500+ tokens per second. Subconscious runs the agent's main model on long traces. They fill different slots in the same coding stack.
By The Subconscious Team · Updated
Subconscious vs Morph: key differences
Morph is not a general inference provider. It builds small specialist models that sit beside a big coding model. Its Fast Apply model takes the lazy edit a frontier model writes and merges it into the full file at 10,500+ tokens per second with up to 98% accuracy, which Morph says cuts token usage about 40% against full-file rewrites. Subconscious fills the other slot, the main model that plans, reads the repository and writes those edits over an hour-long session. It prunes the KV cache as that session grows, bills processed tokens, and delivers a 5M+ effective context window.
Used together, the savings land in different places. Subconscious lowers the cost of the growing context the main model rereads on every step, and Morph lowers output cost by letting that model write only changed lines. Morph's WarpGrep search and Compact context compression can also sit beside the main model. Keep a validation step, since Morph's 2 to 4% merge error rate means tests or linting should run before edits ship. Neither covers the other's job. Morph cannot run the agent's main loop, and a main model rewriting whole files is exactly the waste Morph removes.
What Subconscious and Morph do
Subconscious
Subconscious is an MIT CSAIL spinout in Kendall Square that builds inference for long-horizon agents, the workloads where a single trace runs past 200K tokens and often into the millions. Its runtime drops in as a replacement for vLLM or SGLang. Instead of rereading an ever-growing context on every step, it prunes the KV cache and preserves suffix state, and Subconscious co-designs the runtime with post-trained model variants it calls Marathon. Against open models on standard inference, Subconscious delivers 2x faster task completion, delivers a 5M+ effective context window, cuts cost 50% and up to 80%, and scores neutral to 10% better on agentic benchmarks.
Example models: GLM 5.3, DeepSeek V4.1 Flash
Full Subconscious profileMorph
Morph builds small, very fast specialist models that sit beside a big coding model inside an agent. Its flagship is Fast Apply. The frontier model writes only the changed lines with // ... existing code ... markers, and Morph merges them into the full file at 10,500+ tokens per second with up to 98% accuracy. It is the same idea behind Cursor's instant apply, offered as an OpenAI-compatible API.
Example models: morph-v3-fast, morph-v3-large
Full Morph profileShould you choose Subconscious or Morph?
Subconscious
Choose Subconscious for
- The main coding model across hour-long sessions
- Repository-scale context past 200K tokens
- A backend for Claude Code, Cursor or Codex
Morph
Choose Morph for
- Applying model edits to large files at 10,500+ tokens per second
- Cutting frontier-model output tokens on edits
- High-volume code editing in CI and sandboxes
Subconscious vs Morph at a glance
| Attribute | Subconscious | Morph |
|---|---|---|
| Model access | Open weights | Specialist models |
| Flagship models | GLM 5.3, DeepSeek V4.1 Flash | morph-v3-fast, morph-v3-large |
| Speed | 2x faster task completion | 10,500+ tok/s Fast Apply |
| Price | 50–80% lower cost; billed on processed tokens | ~40% fewer tokens than full rewrites |
| Customization | Marathon post-trained variants | Fine-tuning offered |
| Deployment | Managed API, dedicated, on-prem | OpenAI-compatible API |
| Long context | 5M+ effective context | Unknown |
Frequently asked questions
What is the difference between Subconscious and Morph?
Morph merges coding-agent edits at 10,500+ tokens per second. Subconscious runs the agent's main model on long traces. They fill different slots in the same coding stack.
When should I choose Subconscious over Morph?
The main coding model across hour-long sessions; Repository-scale context past 200K tokens; A backend for Claude Code, Cursor or Codex.
When should I choose Morph over Subconscious?
Applying model edits to large files at 10,500+ tokens per second; Cutting frontier-model output tokens on edits; High-volume code editing in CI and sandboxes.
Is Subconscious or Morph cheaper?
Subconscious: 50–80% lower cost; billed on processed tokens. Morph: ~40% fewer tokens than full rewrites. The cheaper choice depends on the model and workload.
Related comparisons
Run your longest agent traces on Subconscious
Point the OpenAI or Anthropic SDK, or the coding agent you already use, at Subconscious. Keep Morph for the work it does best and send the long runs to us.