Ling-3.1-flash
Needs 689 GB at FP8 / INT8. The smallest real configuration today is 8× RTX PRO 6000 at UpCloud, $7.78 per hour, about $5,676 a month at 730 hours.
- Per hour
- $7.78
- Per month
- $5,676
- Cheapest at
UpCloud
What is documented about Ling-3.1-flash
news checked 2026-10-27Despite the 'flash' name this is large: card says '560B total parameters, 25B active' (HF counts 572.1B), '63 KDA + 9 Gated MLA' layers and a 1M-token context window. config max_position_embeddings is 262,144. Free API trial started around 29 Sept to 2 Oct. HF first commit 2026-10-13; HF release reported by 2026-10-16 (AlphaSignal).
- https://huggingface.co/inclusionAI/Ling-3.1-flash
- https://huggingface.co/inclusionAI/Ling-3.1-flash/raw/main/config.json
- https://huggingface.co/api/models/inclusionAI/Ling-3.1-flash?blobs=true
Memory · 2 precisions · 5 context lengthsHow much VRAM it needs
Weights plus runtime overhead, then the KV cache that grows with the context you serve.
| Precision | Weights | Weights + headroom | 4k context | 32k context | 128k context | 256k context |
|---|---|---|---|---|---|---|
| FP8published checkpoint | 574 GB | 689 GB | 689 GB | 692 GB | 700 GB | 711 GB |
| INT4 / MXFP4estimated | 336 GB | 404 GB | 404 GB | 406 GB | 415 GB | 425 GB |
| KV cacheone sequence, FP16 cache, included above | — | — | 1 GB | 3 GB | 11 GB | 22 GB |
Smallest configuration per GPU · 110 GPUs · cheapest eligible on-demand offer per GPU count, every provider on fileWhat it costs to run, GPU by GPU
The fewest GPUs of one type whose total memory fits the model at short context, priced from the cheapest eligible on-demand offer for exactly that count (45-day window, newest reading per provider), with the next providers beside it. Monthly = 730 hours.
| GPU | Smallest config | VRAM used | $ / hour | $ / month | Cheapest at |
|---|---|---|---|---|---|
| RTX PRO 6000Best fit | 8× 96 GB768 GB total | 90% | $7.78 | $5,676 | UpCloudTrust 75 · read Nov 2 · receipt · also Vast.ai $9.58, Lium $12.80 |
| Gaudi 2 | 8× 96 GB768 GB total | 90% | $8.27 | $6,036 |  Cyfuture AInot scored · read Nov 2 · receipt |
| MI300X | 4× 192 GB768 GB total | 90% | $11.31 | $8,257 | Cyfuture AInot scored · read Nov 2 · receipt · also Hot Aisle $11.96, AtmosCompute $13.38 |
| MI325X | 4× 256 GB1024 GB total | 67% | $12.29 | $8,972 | Cyfuture AInot scored · read Nov 2 · receipt |
| B200 | 4× 180 GB720 GB total | 96% tight | $16.46 | $12,013 | UpCloudTrust 75 · read Nov 2 · receipt · also Deep Infra $19.56, Lambda $27.16 |
| H100 NVL | 8× 94 GB752 GB total | 92% tight | $16.48 | $12,030 |  GPU.ainot scored · read Nov 2 · receipt · also Spheron $21.97, AtmosCompute $35.73 |
| H200 | 8× 141 GB1128 GB total | 61% | $21.04 | $15,359 |  Airon AInot scored · read Nov 2 · receipt · also Geodd $21.76, Lium $23.92 |
| B300 | 4× 288 GB1152 GB total | 60% | $23.29 | $17,004 | UpCloudTrust 75 · read Nov 2 · receipt · also FPT AI Factory $27.96, Verda $45.40 |
| MI355X | 8× 288 GB2304 GB total | 30% | $23.60 | $17,228 |  TensorWaveTrust 64 · read Nov 2 · receipt |
| H200 NVL | 8× 141 GB1128 GB total | 61% | $26.09 | $19,042 |  IONOSnot scored · read Nov 2 · receipt · also Geodd $27.12, Vast.ai $39.47 |
| B200 CC | 4× 180 GB720 GB total | 96% tight | $36.19 | $26,419 |  VerdaTrust 81 · read Nov 2 · receipt |
| B300 CC | 4× 288 GB1152 GB total | 60% | $46.31 | $33,806 | VerdaTrust 81 · read Nov 2 · receipt |
| GB300 | 4× 288 GB1152 GB total | 60% | $52.21 | $38,113 | VerdaTrust 81 · read Nov 2 · receipt |
Ling-3.1-flash · related