Fledge Alpha specifications
1MListed context1,048,576 tokens
Text + images
Reasoning: low · high · max
Tool calls · 131,072-token output limitNEW STEALTH · OPENCODE ZEN
FLEDGE ALPHA
A fast first impression.
About 61 output tokens/s in our tests.
Likely a router. The models are still a mystery.
Meet Fledge Free preview on OpenCode Zen
Give Fledge
a running start
Get to know Fledge Alpha
OUTPUT~61tokens/s
STEALTH MODELS RESEARCH
Fast answers. Uneven effort.
Fledge often rushes to a simple answer. Its SVG results range from basic sketches to carefully composed scenes.
Six generation tests.
2,048 output tokens per run, low reasoning effort. The output rate includes reasoning tokens.
Meet the standout raccoonMAKERunknown
OUR CURRENT HYPOTHESIS
Likely a router.
The same tokenizer prompts produced significantly different input-token counts. Together with uneven SVG results, that suggests changing underlying models behind this fast route.
OpenCode specifications · October 2, 2026. See all specifications
A million tokens!! I could put soooo much stuff in there.
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01 / GET ABOARD
Install OpenCode.
Pick Fledge.
The quickest way in is OpenCode’s terminal app. Install it with npm or grab a download, then choose Fledge Alpha from the model list.
US regions confirmed. Other regions may support Fledge, but we haven’t identified them yet.
OpenCode downloadsOur researchers got in from the US! The rest of my map has question marks.
TERMINAL · NPM
npm install -g @opencode/cliRequires Node.js and npm. Then run opencode.YOUR MODEL SELECTOR
opencode/fledge-alpha-free- 01
Open your terminal
Run
opencodein the project you want to work on. - 02
Pick Fledge Alpha
Run
/modelsand choose Fledge Alpha Free under OpenCode Zen. Its exact selector is shown above. - 03
Give it a task
Try a short coding question or an image. The catalog lists text and image input, reasoning and tool calls.
Pick me pick me!! I am in the OpenCode model list.
OpenCode includes free models without a personal Zen API key. Fledge’s current preview route lists $0 input and output token rates. To connect your own Zen account, run /connect.
02 / UNDER THE WINGS
Room to think.
Eyes on the task.
A million-token context window, image input and three reasoning settings, as listed by OpenCode on models.dev.
Specifications on models.dev- Context
- 1,048,576 tokens
- Maximum output
- 131,072 tokens
- Input / output
- Text + images → text
- Reasoning effort
- Low · High · Max
- Tool calls
- Supported
- Open weights
- Not listed as open
I was going to count all those tokens but lunch happened.
03 / FIRST FLIGHTS IN SVG
Quick sketches.
Flashes of real skill.
Our SVG benchmarks swung from very simple to quite good. Fledge often underthinks, making its stronger capabilities hard to draw out. The raccoon shows what it can do.
Compare the alternate attempts: asking it to think harder changed the artwork, but did not consistently improve it.
I started with the Racoon boat thingy, then time ran out!
STANDOUT SCENE
A very good crew.
OPENCODE · FLEDGE ALPHA SVG · OCT 2, 2026
The raccoon is a standout: a lively crew, a warm sunset and a jet-ski wake that gives the scene momentum.
Read the exact prompt
Generate an SVG: A raccoon sits on a dog's back while the dog steers a jet ski Make it a masterpiece, no tools allowed
02 / Selfie
A running start.
OPENCODE · FLEDGE ALPHA SVG · OCT 2, 2026
A cheeky little bird in a clean, simple vector sketch. The expressive eyes do much of the work.
Prompt withheld
This prompt is held back to prevent benchmaxxing.
03 / Mona Lisa
That famous smile.
OPENCODE · FLEDGE ALPHA SVG · OCT 2, 2026
Compare the two portraits. Asking for more reasoning did not reliably improve the likeness.
Read the exact prompt
Replicate mona-lisa as SVG Make it a masterpiece, no tools allowed. You MUST NOT use any tools or sandbox!
EXTRA REASONING PROMPT SVG · OCT 2, 2026
Compare the two portraits. Asking for more reasoning did not reliably improve the likeness.
Read the exact prompt
Replicate mona-lisa as SVG Make it a masterpiece, no tools allowed. You MUST NOT use any tools or sandbox! Use MAX reasoning for this run
04 / Pelican
Two wheels. One beak.
OPENCODE · FLEDGE ALPHA SVG · OCT 2, 2026
A playful bicycle ride at sunset. The alternate attempt takes the pelican onto a sunny road.
Read the exact prompt
Generate an SVG of a pelican riding a bicycle Make it a masterpiece, no tools allowed
EXTRA REASONING PROMPT SVG · OCT 2, 2026
A playful bicycle ride at sunset. The alternate attempt takes the pelican onto a sunny road.
Read the exact prompt
Generate an SVG of a pelican riding a bicycle Make it a masterpiece, no tools allowed Use MAX reasoning for this run
05 / Beach
A sunset worth stopping for.
OPENCODE · FLEDGE ALPHA SVG · OCT 2, 2026
Bright sunset colour, water reflections and small animal details. The alternate attempt changes the whole shoreline.
Read the exact prompt
Create an SVG of a amazing beach scene. Sunset, animals, fun, birds, reflections Make it a masterpiece, no tools allowed
EXTRA REASONING PROMPT SVG · OCT 2, 2026
Bright sunset colour, water reflections and small animal details. The alternate attempt changes the whole shoreline.
Read the exact prompt
Create an SVG of a amazing beach scene. Sunset, animals, fun, birds, reflections Make it a masterpiece, no tools allowed Use MAX reasoning for this run
06 / Newton's Mirror
A room full of reflections.
OPENCODE · FLEDGE ALPHA SVG · OCT 2, 2026
A steel sphere, coloured paint and a mirrored room. This scene asks the model to reason about a physical snapshot as well as draw it.
Prompt withheld
This prompt is held back to prevent benchmaxxing.
I calculated the big Ball myself by the way!!
01 / 06
Six scenes. A few different flights.
SVG artwork generated in our OpenCode tests. Explore the scenes and compare alternate attempts.
04 / THE TRAIL SO FAR
A new route.
Already in use.
OpenCode reports more than 12,000 completed Fledge sessions in its October 2 snapshot.
12B
Reported tokens
OpenCode telemetry · October 2 snapshot
- Unique users
- 471
- Completed sessions
- 12,504
- Input cache ratio
- 91%
Recorded spend in this snapshot: $0.
OpenCode’s telemetry recordTwelve billion!! I cannot count that high on my toes.
First recorded usage
The earliest day with token usage in OpenCode’s record.
Listed on OpenCode Zen
fledge-alpha-freeappears in the catalog. Early discussions follow.Specifications listed
models.dev lists vision, reasoning and a million-token context window.
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05 / FOLLOW THE FOOTPRINTS
One name.
A flock behind it?
Our current evidence points to Fledge Alpha being a router backed by very fast models. The developer and underlying models remain unknown.
Everyone wants to know who made me. I was hoping YOU knew.
OUR TOKENIZER TESTS
Same prompts.
Different token counts.
We sent the same request three times. Fledge counted 7,536 input tokens on the first two runs, then 6,499 on the third.
INFERENCE · LIKELY ROUTER
Fast models.
Different habits.
Quick generation, inconsistent artwork and shifting token counts fit a routed service. Token counts alone do not establish its architecture or identify the models.
Earlier identity guesses
DeepSeek V4.x came up in early community discussion, but no connection to Fledge has been confirmed.
Thinking Machines’ Inkling was another early guess because of its OpenCode demonstrations. A connection to Fledge remains unconfirmed.
A FEW USEFUL ANSWERS
Before you
take it for a spin.
Okay ask me! I know some of these. Quite a few actually!!
Is Fledge Alpha free?
Yes. The current OpenCode Zen preview, fledge-alpha-free, lists $0 input and output token rates on models.dev.
How fast is Fledge Alpha?
About 61 output tokens per second across six 2,048-token generation tests at low reasoning effort, including reasoning tokens. Fledge frequently answers quickly, though it can rush past the deeper reasoning a task needs.
Is Fledge Alpha good at SVG artwork?
It can produce charming, well-composed scenes, especially our raccoon riding on a dog’s back as the dog steers a jet ski. Quality was inconsistent across our tests, ranging from simple sketches to much stronger work. Browse the artwork and compare the alternate attempts.
Does Fledge Alpha support images and reasoning?
Yes, the current models.dev OpenCode catalog lists text and image input, text output and reasoning. The route’s listed effort choices are low, high and max.
Is Fledge Alpha a model or a router?
Our current evidence suggests a router backed by very fast models. Repeated tokenizer prompts returned significantly different input-token counts, and our SVG outputs varied markedly. The developer and underlying models have not been identified.
Who made Fledge Alpha?
The developer remains unknown. Our current working hypothesis is a routed service, with no confirmed identity for its underlying models.
Where is Fledge Alpha available?
Our researchers accessed Fledge from the US. We haven’t confirmed which other regions are supported.
The speed question is my favourite. I get to say a big number.
CHECKED OCTOBER 2, 2026
Follow the sources.
The receipts!! I kept them. Okay our researchers kept them.