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UNIT · AMD · GPU
12 GB VRAMmid·Reviewed June 2026

AMD Radeon RX 7700 XT

AMD Radeon RX 7700 XT — stylized gpu render
generated
Credit: Generated by Imagen 4 Fast — stylized brand-aware render·License: operator-owned

12GB RDNA 3.

Released 2023·~$379 street·432 GB/s memory bandwidth
▼ CHECK CURRENT PRICE· 1 retailer
AMD Radeon RX 7700 XT
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Affiliate disclosure: as an Amazon Associate and partner of other retailers, we earn from qualifying purchases. The verdict on this page is our editorial opinion; affiliate links never influence what we recommend.

RUNLOCALAI SCORE
See full leaderboard →
265/ 1000
DD-tier
Estimated
Throughput
125/ 500
VRAM-fit
110/ 200
Ecosystem
130/ 200
Efficiency
14/ 100

Sub-scores sum to 379 / 1000. Headline = 379 × 0.70 (Estimated-confidence discount) = 265. This is an algorithmic performance-tier score — distinct from, and often lower than, the editorial “Our verdict” below, which weighs value and real-world fit (especially for hardware we haven’t measured yet). How scoring works →

Extrapolated from 432 GB/s bandwidth — 43.2 tok/s estimated. No measured benchmarks yet.

WORKLOAD FIT
Try other hardware →

Plain-English: Comfortable at 14B and below — snappy enough for a coding agent.

7B chat✓
Comfortable
14B chat✓
Comfortable
32B chat✗
Doesn't fit
70B chat✗
Doesn't fit
Coding agent✓
Comfortable
Vision (≤8B VLM)~
Tight
Long context (32K)~
Tight
✓Comfortable — fits with headroom
~Tight — works, no slack
△Marginal — needs aggressive quant
✗Doesn't fit usefully

Verdicts extrapolated from catalog VRAM + bandwidth + ecosystem flags. Hover any chip for the rationale. Want measured numbers? Submit your own run with runlocalai-bench --submit.

BLK · VERDICT

Our verdict

OP · Fredoline Eruo|VERIFIED JUN 12, 2026
7.1/10

What it does well

The RX 7700 XT is AMD's RDNA 3 mid-tier consumer card and the value-conscious AMD pick at the 12 GB tier. 12 GB GDDR6 at 432 GB/s + RDNA 3 compute units at $449 MSRP / $300-400 used. The 12 GB VRAM ceiling is similar to NVIDIA's 12 GB tier — fits 7B-13B class models with comfortable context, smaller MoE models, 13B Q5 with 32K context. RDNA 3 + ROCm 6.4+ for Linux + DirectML for Windows + llama.cpp ROCm + Ollama AMD support all run RX 7700 XT first-class. Power draw at 245 W TDP is reasonable. For buyers who want AMD at the cost-conscious 12 GB consumer tier (without paying for 16 GB+ AMD or going to 24 GB AMD flagship), RX 7700 XT is the right pick at $300-400 used.

Where it breaks

  • No CUDA — full stop. vLLM, SGLang, TensorRT-LLM, ExLlamaV2, most fine-tuning libraries — none run on AMD Radeon. ROCm + llama.cpp + DirectML cover the basics but the long tail of CUDA-only frameworks doesn't.
  • 12 GB ceiling kills serious local AI. 14B FP16 doesn't fit, 32B Q4 doesn't fit, 70B is impossible. Same hard ceiling as all 12 GB cards.
  • Pricing competition is harsh from above and below. RX 7800 XT (16 GB) at $499 MSRP has 33% more VRAM at +$50 — almost always worth the upgrade for AMD-aligned local AI buyers. From below, RX 7600 XT (16 GB) at $329 has 33% more VRAM at lower price.
  • No FP8 native (RDNA 3 limitation). Modern frameworks that exploit FP8 don't get speedup.
  • Architecture is one generation behind RDNA 4. RX 9070 at $549 has improved AI tensor compute + RDNA 4 features at modest premium for new builds.
  • Day-zero new model support is uneven. AMD Radeon LLM support typically arrives weeks-to-months after NVIDIA.
  • Limited fine-tuning paths. ROCm consumer fine-tuning is rough.

Ideal model range

  • Sweet spot: 7B–13B FP16 inference at ~50–80 tok/s decode with 32K context.
  • Sweet spot: Smaller MoE inference (sub-14B parameters active) — fits 12 GB with reasonable speed.
  • Sweet spot: Multi-model agentic loops fitting 12 GB total — 4B + embedding + small classifier + speculative decoder.
  • Stretch: 14B Q4 with 8K context (just fits 12 GB tight).
  • Stretch: 7B QLoRA fine-tuning (where ROCm fine-tuning paths exist).
  • Bad fit: 32B-class anything, 70B-class anything, very long context on bigger models.

Bad use cases

  • CUDA-locked stacks. Don't pick AMD if your toolchain requires CUDA.
  • Production multi-tenant serving. Consumer pick.
  • Maximum decode throughput. RTX 4070 (12 GB) wins on bandwidth and CUDA ecosystem at similar pricing.
  • Anyone with $50 more in budget. RX 7800 XT (16 GB) at $499 is almost always worth the upgrade.
  • Anyone wanting day-zero new model support. ROCm + AMD consumer always lags CUDA.
  • First-time local AI buyers without ROCm familiarity. Friction tax is real; pick NVIDIA for low-friction first experience.

Verdict

Buy this if you find a used RX 7700 XT at $300–$400, you specifically want AMD at the 12 GB tier (vendor diversification, ROCm familiarity, ideological preference), your workload is firmly 7B-13B FP16/Q5, and you can absorb the modest software-ecosystem friction. RX 7700 XT is the right "AMD value 12 GB" pick — but most buyers should stretch to RX 7800 XT for the 16 GB upgrade.

Skip this if RX 7800 XT (16 GB) at $499 fits your budget (almost always worth the +$50 for 33% more VRAM), your stack requires CUDA (pick RTX 4070 at similar pricing), RX 7600 XT (16 GB) at $329 fits your workload (more VRAM at lower price), or you want current-gen (RX 9070 for RDNA 4 + improved AI tensor units).

How it compares

  • vs RX 7800 XT (16 GB) → 7800 XT has 33% more VRAM + ~45% more compute + ~45% more bandwidth at +$50 MSRP. Almost always worth the upgrade for AMD-aligned local AI buyers. See /compare/rx-7700-xt-vs-rx-7800-xt.
  • vs RX 7600 XT (16 GB) → Same RDNA 3 architecture. 7600 XT has 33% more VRAM but ~30% less compute at -$120 MSRP. For pure AI VRAM-vs-compute tradeoff, 7600 XT often wins because the 16 GB ceiling unlocks more workloads.
  • vs RX 9070 (16 GB) → 9070 has RDNA 4 + improved AI tensor units + 33% more VRAM at +$100 MSRP. The strict upgrade path for new AMD builds.
  • vs RTX 4070 (12 GB) → Same VRAM tier. 4070 has full CUDA + Ada-gen + ~17% more bandwidth at +$150 MSRP. Pick 4070 for ecosystem certainty + speed; 7700 XT for AMD value at lower price.
  • vs RTX 5070 (12 GB) → Same VRAM tier, NVIDIA Blackwell vs AMD RDNA 3. 5070 has full CUDA + FP4 native + ~55% more bandwidth at +$100 MSRP. Pick 5070 for CUDA + Blackwell; 7700 XT for AMD value entry.
BLK · OVERVIEW

Overview

12GB RDNA 3.

Retailers we'd check:Amazon

Some links above are affiliate links. We may earn a commission at no extra cost to you. How we make money.

BLK · SPECS

Specs

VRAM12 GB
Power draw (peak)245 W
Released2023
MSRP$449
Backends
ROCm
Vulkan

Models that fit

Open-weight models small enough to run on AMD Radeon RX 7700 XT with usable context.

all-MiniLM-L6-v2
0.022B · other
Qwen 3 0.6B
0.6B · qwen
BGE Large EN v1.5
0.335B · other
Nomic Embed Text v1.5
0.137B · other
Kokoro 82M
0.082B · other
XTTS v2
0.46B · other
BGE Reranker v2 M3
0.57B · other
all-mpnet-base-v2
0.109B · other

Frequently asked

What models can AMD Radeon RX 7700 XT run?

With 12GB VRAM, the AMD Radeon RX 7700 XT runs models up to 14B in 4-bit, or 7B at higher quantizations. See the model list below for tested combinations.

Does AMD Radeon RX 7700 XT support CUDA?

No — AMD Radeon RX 7700 XT is an AMD card. Use ROCm (Linux) or the Vulkan backend in llama.cpp instead. CUDA-only tools won't work.

How much does AMD Radeon RX 7700 XT cost?

Current street price for AMD Radeon RX 7700 XT is around $379 (MSRP $449). Prices vary by region and supply.

Where next?

Buyer guides
  • Best GPU for local AI →
  • Best laptop for local AI →
  • Best Mac for local AI →
  • Best used GPU for local AI →
Troubleshooting
  • CUDA out of memory →
  • Ollama running slowly →
  • ROCm not detected →
  • Model keeps crashing →

Reviewed by RunLocalAI Editorial. See our editorial policy for how we research and verify hardware specifications.

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Some links on this site are affiliate links (Amazon Associates and other first-class retailers). When you buy through them, we earn a small commission at no extra cost to you. Affiliate links do not influence our verdicts — there are cards we rate highly that we don't have affiliate relationships with, and cards that sell well that we refuse to recommend. Read more →

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RUNLOCALAI · v38
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