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Morph vs Boundless
Morph builds specialist models for the edit and search steps of coding agents. Boundless serves the main agent model, open or closed, per token.
By The Subconscious Team · Updated
Morph vs Boundless: key differences
Morph's Fast Apply merges frontier-model edits into full files at 10,500+ tokens per second with a 7B model trained only on code merging, and its lineup adds WarpGrep repository search, Compact context compression, embeddings, rerank and fine-tuning. morph-v3-fast costs $0.80 in and $1.20 out per million tokens. Morph also hosts GLM-5.3, DeepSeek V4.1 Flash and Kimi K3 at 1M context. Boundless serves those three too, at $1.12 in and $3.52 out for GLM-5.3, $0.20 in and $1.00 out for DeepSeek V4.1 Flash and $2.30 in and $11.40 out for Kimi K3, plus resold GPT and Claude models. Vercel's AI Gateway measured Boundless at 121–138 tokens per second on those three.
Morph fits beside a main model as the apply, search and compression layer, and it can be self-hosted on Enterprise. Boundless can serve that main model, and when volume grows its engineers can tune a reserved deployment against throughput and latency targets in the contract.
What Morph and Boundless do
Morph
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 profileBoundless
Boundless launched in September 2026 as an inference partner for AI-native startups. It sells two things. The Model API serves pre-tuned models on shared capacity, billed per token from prepaid credits with a budget per API key. Tailored inference reserves capacity for one customer, and Boundless engineers pick the model on the customer’s own evals, tune precision, batching, caching, speculative decoding and parallelism, then run the deployment against uptime, throughput and latency targets written into the contract. A free two-week evaluation tests those targets on real traffic against the customer’s current provider first.
Example models: GLM-5.3, DeepSeek V4.1 Flash, Kimi K3
Full Boundless profileShould you choose Morph or Boundless?
Morph vs Boundless at a glance
| Attribute | Morph | Boundless |
|---|---|---|
| Model access | Specialist models | Open weights, plus closed GPT and Claude |
| Flagship models | morph-v3-fast, morph-v3-large | GLM-5.3, DeepSeek V4.1 Flash, Kimi K3 |
| Speed | 10,500+ tok/s Fast Apply | 342 tok/s on DeepSeek V4.1 Flash 1017 (Vercel) |
| Price | $0.80 in, $1.20 out (morph-v3-fast) | $0.04–$2.30 in, $0.21–$11.40 out per 1M (open) |
| Customization | Fine-tuning offered | Serving-stack tuning, no fine-tuning |
| Deployment | OpenAI compatible API; self-hosted on Enterprise | Serverless API, reserved tailored capacity |
| Long context | Unknown | 1M context on most models |
Frequently asked questions
What is the difference between Morph and Boundless?
Morph builds specialist models for the edit and search steps of coding agents. Boundless serves the main agent model, open or closed, per token.
When should I choose Morph over Boundless?
Merging edits at 10,500+ tok/s; Repo search and context compression; Enterprise self-hosting.
When should I choose Boundless over Morph?
The main agent model, open or closed; Kimi K3 and GLM-5.3 at 1M context; Engineer-tuned reserved capacity.
Is Morph or Boundless cheaper?
Morph: $0.80 in, $1.20 out (morph-v3-fast). Boundless: $0.04–$2.30 in, $0.21–$11.40 out per 1M (open). The cheaper choice depends on the model and workload.
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.