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Arcee · Chat and reasoning · 26.1B parameters · 3B active · other

Trinity Mini

Needs 32 GB at FP8 / INT8. The smallest real configuration today is 1× Tesla V100 32GB at Vast.ai, $0.07 per hour, about $50 a month at 730 hours.

Parameters26.1B3B active per token
Context128k tokensmaximum published
Checkpoint52 GBBF16, as published
Licenseothercheck before commercial use
Released—documented date
Smallest configuration · FP8 / INT8
1× Tesla V100 32GB32 GB VRAM · 98% used
Per hour
$0.07
Per month
$50
Cheapest at
Vast.ai
All Tesla V100 32GB offers →
Memory · 3 precisions · 4 context lengths

How much VRAM it needs

Weights plus runtime overhead, then the KV cache that grows with the context you serve.

PrecisionWeightsWeights + headroom4k context32k context128k context
BF16published checkpoint52 GB63 GB63 GB64 GB65 GB
FP8 / INT8estimated26 GB32 GB32 GB32 GB34 GB
INT4 / MXFP4estimated16 GB19 GB19 GB20 GB22 GB
KV cacheone sequence, FP16 cache, included above——1 GB1 GB3 GB
Cross-checked on Hugging Face Oct 28, 2026: 26.1B parameters in the safetensors headers, 52.3 GB of weight files, attention layout from config.json (32 layers, 4 KV heads × 128, 24 sliding-window layers). Method: weights as published at the native precision, verified on Hugging Face 2026-10-28; other precisions estimated at 1 (8-bit) and 0.6 (4-bit) bytes per parameter; × 1.2 runtime headroom; KV cache = 2048 bytes per token per layer × 8 full-attention layers + 24 sliding-window layers capped at 2048 tokens (FP16 cache, one sequence).config.json ↗
Smallest configuration per GPU · 110 GPUs · cheapest eligible on-demand offer per GPU count, every provider on file

What 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.

GPUSmallest configVRAM used$ / hour$ / monthCheapest at
Tesla V100 32GBBest fit1× 32 GB32 GB total98% tight$0.07$50Vast.aiTrust 78 · read Nov 1 · receipt · also Cyfuture AI $0.57, E2E Networks $1.50
T42× 16 GB32 GB total98% tight$0.08$59Vast.aiTrust 78 · read Nov 1 · receipt · also iwinv $0.39, Theta EdgeCloud $0.40
Tesla P1002× 16 GB32 GB total98% tight$0.10$70Vast.aiTrust 78 · read Nov 1 · receipt
RTX A40002× 16 GB32 GB total98% tight$0.14$105Vast.aiTrust 78 · read Nov 1 · receipt · also Clore.ai $0.19
RTX PRO 20002× 16 GB32 GB total98% tight$0.15$106Clore.aiTrust 46 · read Nov 1 · receipt
Tesla V100 16GB2× 16 GB32 GB total98% tight$0.16$118Vast.aiTrust 78 · read Nov 1 · receipt · also CloudRift $0.50, AtmosCompute $0.65
RTX 30604× 12 GB48 GB total65%$0.16$119Clore.aiTrust 46 · read Nov 1 · receipt · also Vast.ai $0.21, Edgevana $0.37
RTX 5060 Ti2× 16 GB32 GB total98% tight$0.19$137Vast.aiTrust 78 · read Nov 1 · receipt · also Clore.ai $0.19, Edgevana $0.32
Quadro RTX 50002× 16 GB32 GB total98% tight$0.20$148Vast.aiTrust 78 · read Nov 1 · receipt
RTX 30902× 24 GB48 GB total65%$0.21$157Vast.aiTrust 78 · read Nov 1 · receipt · also Clore.ai $0.24, Edgevana $0.46
GTX 10804× 8 GB32 GB total98% tight$0.22$157Vast.aiTrust 78 · read Nov 1 · receipt
RTX 20704× 8 GB32 GB total98% tight$0.22$157Vast.aiTrust 78 · read Nov 1 · receipt · also Edgevana $0.25
RTX 3060 Ti4× 8 GB32 GB total98% tight$0.22$159Vast.aiTrust 78 · read Nov 1 · receipt · also Clore.ai $0.29
GTX 1070 Ti4× 8 GB32 GB total98% tight$0.23$169Vast.aiTrust 78 · read Nov 1 · receipt
RTX 50901× 32 GB32 GB total98% tight$0.24$172SaladTrust 67 · read Nov 1 · receipt · also Clore.ai $0.33, HyperAI $0.35
RTX 2070 Super4× 8 GB32 GB total98% tight$0.24$177Vast.aiTrust 78 · read Nov 1 · receipt · also Edgevana $0.28
Quadro RTX 80001× 48 GB48 GB total65%$0.25$186Vast.aiTrust 78 · read Nov 1 · receipt · also TensorDock $0.32
RTX 60002× 24 GB48 GB total65%$0.27$196Vast.aiTrust 78 · read Nov 1 · receipt
Titan RTX2× 24 GB48 GB total65%$0.27$196Vast.aiTrust 78 · read Nov 1 · receipt · also Edgevana $0.55
Titan Xp4× 12 GB48 GB total65%$0.27$196Vast.aiTrust 78 · read Nov 1 · receipt
L401× 48 GB48 GB total65%$0.27$196Vast.aiTrust 78 · read Nov 1 · receipt · also io.net $0.66, GPURento $0.69
RTX 2080 Ti4× 11 GB44 GB total71%$0.28$202Vast.aiTrust 78 · read Nov 1 · receipt
RTX 30704× 8 GB32 GB total98% tight$0.29$213Clore.aiTrust 46 · read Nov 1 · receipt · also Vast.ai $0.32, Edgevana $0.68
RTX 4070 Ti Super2× 16 GB32 GB total98% tight$0.30$216Clore.aiTrust 46 · read Nov 1 · receipt · also AtmosCompute $0.73, Edgevana $0.77
The 24 cheapest of 83 GPU types that fit. Every GPU, any precision and context, in the finder
Throughput estimates · Oct 4, 2026

Tokens per second, and what a million costs

Chat and reasoning. Speed estimated from memory bandwidth and model size, never measured. The cost per 1M output tokens is an estimate at the prices read on Oct 4, 2026; it is not recomputed here.

GPUCardsPrecisiontok/s per userper 1M output tokens · estimate
RTX 40902FP872.0$0.080
MI300X1FP8173$0.108
RTX 50902FP890.9$0.113
L40S1FP890.2$0.128
H100 SXM1FP8185$0.135
RTX PRO 60001FP8143$0.142
H2001FP8206$0.144
H100 PCIe1FP8145$0.149
B2001FP8271$0.153
A100 80GB1BF16100$0.209
cards, precision and speed estimated from memory bandwidth and model size; cost recomputed by the site from verified prices · cheapest per output at the prices of Oct 4, 2026: RTX 4090Why estimates, and their limits →