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Favicon for morph

Morph: Reflex

morph/reflex

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Morph's decision model. Answers typed choice, noul and score questions about a state. The state is prefix-cached across requests, so repeat questions on the same state bill at the cached-input rate. 65k context window.

Modalities
In / out price
$0.042 / $0per 1M
Context
66K
Released
Nov 3, 2026
Compare
PlaygroundProvidersPricingPerformanceUptimeAppsActivityDocumentationFAQExplore

Playground

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. It runs on the OpenRouter Decisions API rather than the OpenAI-compatible chat endpoint, so the request and response shapes below are specific to structured decisions — chat completions SDKs will not work with it.

Not currently available through EU in-region routing. In-region routing docs

Documentation

Guides, cookbooks, blog posts, and tools for building with Morph: Reflex on OpenRouter.

  • Decisions LabLab

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$0.042Free$0.0080.29s
100.00%
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LatencyUptime
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    Input $0.042 / Output Free
    Latency 0.29sUptime 100.00%
Latency
0.29s

P50, best provider

Uptime (3d)The model was reachable. Request routed to a provider.
99.99%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
99.99%

Availability over the last 3 days

Last 72 hours
Availability 99.99%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.99%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

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Frequently asked questions

Morph's decision model. Answers typed choice, noul and score questions about a state. The state is prefix-cached across requests, so repeat questions on the same state bill at the cached-input rate. 65k context window.

The Reflex documentation on OpenRouter includes the interactive Decisions Lab. The quickstart covers API keys and your first request, and the API reference lists every parameter.

Reflex costs $0.042/M input tokens and $0.00/M output tokens, with separate rates for Cache Read at $0.008/M tokens.

Reflex has a 65,536 token context window.

Reflex accepts text and images as input and returns structured decisions.

Morph V3 Large and Morph V3 Fast are other text models from Morph.

Reflex was released on November 3, 2026.

More models from morph

Morph V3 Large

Morph's high-accuracy apply model for complex code edits. ~4,500 tokens/sec with 98% accuracy for precise code transformations.

The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update>

Zero Data Retention is enabled for Morph. Learn more about this model in their documentation

Text262K context$0.90 / $1.90
Morph V3 Fast

Morph's fastest apply model for code edits. ~10,500 tokens/sec with 96% accuracy for rapid code transformations.

The model requires the prompt to be in the following format: <instruction>{instruction}</instruction> <code>{initial_code}</code> <update>{edit_snippet}</update>

Zero Data Retention is enabled for Morph. Learn more about this model in their documentation

Text262K context$0.80 / $1.20
Fast Apply

Morph Apply is a specialized code-patching LLM that merges AI-suggested edits straight into your source files. It can apply updates from GPT-4o, Claude, and others into your files at 4000+ tokens per second.

The model requires the prompt to be in the following format: <code>${originalCode}</code>\n<update>${updateSnippet}</update>

Learn more about this model in their documentation

Text32K context