Can I run Recursive Flint on a Dual RTX 3090?
Key facts
Yes. Recursive Flint runs on a Dual RTX 3090: the whole model fits in its graphics memory.
It needs about 24.5 GB at standard quality (estimate). Checked . ggml-org Q4_K_M GGUF (official ggml-org repo).
We don't give a speed for this model yet. This model only uses part of itself for each word (a mixture of experts), and our speed estimate does not handle that yet.
Updated · Recursive Flint on every card
How much memory it needs
It uses about 52% of the memory that is free on this machine.
Get a 1-line alert when a faster quant for Recursive Flint drops — or when GPUs that run it drop >10%
Get a 1-line alert when a new open-weight model fits 32 GB VRAM (24.5 GB at Q4 for Recursive Flint) or when used RTX 3090 / 4090 & Mac Studio prices drop >10% — weekly, zero spam.
What a Dual RTX 3090 costs
Dual RTX 3090, 64 GB RAMabout $3,808€3,592
Price details
$3,808€3,592
How we priced this
- Graphics cards (2×)$2,790€2,492
- Memory, 64 GB DDR4 (estimate)$555€600
- Rest of the PC: processor, board, case, power supply, storage (estimate)$463€500
The card is the GeForce RTX 3090 24GB. Used price, the typical price of second-hand cards that actually sold. Source: pcprice.watch, checked 24 Oct 2026.
The total is our estimate from these parts, not the price of a ready-made PC in a shop.
Prices excl. shipping unless marked. Euro prices incl. VAT where the seller charges it. Dollar prices are converted from our euro prices without the 21% EU VAT, before US sales tax.
With 128 GB of normal memory (RAM) instead of 64 GB: Dual RTX 3090, 128 GB RAM, about $5,528€5,452 (with used graphics cards). It runs Recursive Flint the same way: the extra memory only helps with models too big for the cards.
The cheapest machine on our list that also runs it: Mac mini M4 Pro 64GB, about $2,116€1,890 (used).
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Recursive Flint on other graphics cards
Runs well3
The whole model fits in the graphics memory.
Doesn't fit7
Not enough graphics memory: it needs about 24.5 GB.
- RTX 3060 12GBhas 12 GB
- RTX 4060 Ti 16GBhas 16 GB
- RTX 3090has 24 GB
- RTX 4090has 24 GB
- RTX 5080has 16 GB
- RX 9060 XT 16GBhas 16 GB
- RX 7900 XTXhas 24 GB
More about the model itself, what it is good at and its licence: Recursive Flint.
The numbers behind this answer
A model comes in several sizes. Q4 is the standard one most people use; the bigger ones answer a little better but need more memory. Each row adds up the model file, the memory a conversation takes, and some working space, and compares the total with what is free on this machine.
Swipe the table sideways to see every column.
| Quality | Conversation | Result | Model file | Conversation memory | Working space | Total needed | Free memory |
|---|---|---|---|---|---|---|---|
| Q4 · standard (smallest that keeps quality) | ~12 pages8,192 tokens | Runs | 23.4 GBmeasured file | 0.3 GB | 0.8 GB | 24.5 GB | 46.8 GB |
| Q5 · a bit sharper, a bit bigger | ~12 pages8,192 tokens | Runs | 28.3 GB | 0.3 GB | 0.8 GB | 29.3 GB | 46.8 GB |
| Q8 · near full quality, almost twice Q4 | ~12 pages8,192 tokens | Runs | 42.6 GB | 0.3 GB | 0.8 GB | 43.6 GB | 46.8 GB |
| FP16 · full quality, over three times Q4 | ~12 pages8,192 tokens | Runs slowly | 79.6 GB | 0.3 GB | 0.8 GB | 80.7 GB | 46.8 GB |
| Q4 · standard, longer conversation | ~49 pages32,768 tokens | Runs | 23.4 GBmeasured file | 1.0 GB | 0.8 GB | 25.2 GB | 46.8 GB |
speed: not estimated for MoE yet. This model only uses part of itself for each word (a mixture of experts), and our speed estimate does not handle that yet.
Sources and method
Memory and speed on this page are our estimate, not a measured test. Checked . ggml-org Q4_K_M GGUF (official ggml-org repo).
Recursive's coding model for agents that read code, fix bugs and write tests, under Apache 2.0. Only about 2.5B of its 40B parameters are used per word, so it does far less work per word than a dense 40B model. The 4-bit downloads are about 22 to 26 GB before any conversation memory.
Measured Recursive Flint on a Dual RTX 3090 yourself? Send us your llama-bench result.
Questions
- Can I run Recursive Flint on a Dual RTX 3090?
- Yes. Recursive Flint runs on a Dual RTX 3090: the whole model fits in its graphics memory.
- How much memory does Recursive Flint need?
- About 24.5 GB at the standard quality (Q4) for a conversation of up to about 12 pages of text (8,192 tokens), by our estimate: 23.4 GB for the model file (measured), 0.3 GB to hold the conversation and 0.8 GB of working space.
- How fast is Recursive Flint on a Dual RTX 3090?
- We don't give a speed for this model yet. This model only uses part of itself for each word (a mixture of experts), and our speed estimate does not handle that yet.
Speeds and memory are our estimate from the hardware specs, not a measured test. Prices are dated and may change. How we calculate