RX 9070 XT 16GB for local AI in the UK
Ranks #14 of 23 for 7-9B models on value (£6 per token/s at £650 used).
Key facts
- Cheapest UK price
- £650 used
- Memory
- 16 GB
- Memory bandwidth
- 640 GB/s
- Largest model it can run
- ~23B parameters at 4-bit (estimate: ~0.6 GB per billion parameters + ~2 GB overhead)
- Shop
- eBay UK (used)
- £650 used: median of 257 UK eBay sold listings, 90 days, checked date unknown (source)
- £1,010 new: 'New from' column, checked date unknown (source)
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Speed and value by model size
| Size class | Fits at 4-bit? | Speed | £ per tok/s | Value rank | Reference model |
|---|---|---|---|---|---|
| 7-9B models | Yes | 116.5 words/sec* from 75 tests | £6 | #14 of 23 | Llama 2 7B Q4_0 |
| 12-14B models | Yes | no verified data yet | – | not ranked | Gemma 4 12B Q4_0 |
| 27-35B models | No (needs ~20 GB+) | – | – | – | Qwen 3.6 27B Q4_K_M |
| 70B+ models | No (needs ~42 GB+) | – | – | – | no reference model yet |
Speed is the median single-user decode speed running the like-for-like reference model for that class, in tokens per second (*a token is roughly ¾ of a word, so words/sec is a rough guide). Ranks use the cheapest UK price and need at least 3 test runs; ⚠ = low sample, shown but not ranked. "Fits" means the model fits fully in memory at ~4-bit. How we measure.
Other models measured
- llama-3b Q4_K_M (3.0B): 199.4 tok/s from 6 tests · run
Shown for information only: these don't affect rank. Mixture-of-experts models (names with "a3b", "moe" and similar) run much faster than their size suggests.
Similar price alternatives
- RTX 5060 Ti 16GB £525 used · 16 GB · 82.4 tok/s on 7-9B
- RX 7900 XT 20GB £553 used · 20 GB · 117.5 tok/s on 7-9B · #8 of 23 for 7-9B
- RX 7900 XTX 24GB £746 used · 24 GB · 141.2 tok/s on 7-9B · #11 of 23 for 7-9B
- RTX 4070 Ti Super 16GB £784 used · 16 GB · 134.3 tok/s on 7-9B · #15 of 23 for 7-9B
See the RX 9070 XT 16GB on the leaderboard → · Best under £1,000 · All cards · Beginner's guide · Methodology
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