ComputeAssay

Model guide · prices from 2026-09-10 · API prices daily, full survey weekly

Cheapest way to run Mistral Large 2 (123B)

Mistral Large 2 (123B) needs ≈74 GB of VRAM at 4-bit — this week that starts at $0.91/hour (1× A100-SXM, cheapest tracked walk-up price). FP8 and FP16 below. VRAM calculators stop at the memory number; this connects it to live, graded prices across 20 providers.

FP16 — ≈295 GB needed

GPUVRAMGPUs neededCheapest trackedVerifiable A/B
A100-SXM80 GB4$3.63/hr$9.20/hr
RTX509032 GB10 (multi-node)$4.01/hr
RTX409024 GB13 (multi-node)$4.86/hr
A100-PCIe80 GB4$5.40/hr
MI300X192 GB2$6.90/hr
H100-PCIe80 GB4$7.96/hr
L40S48 GB7$9.59/hr
A10080 GB4$10.80/hr

FP8/INT8 — ≈148 GB needed

GPUVRAMGPUs neededCheapest trackedVerifiable A/B
A100-SXM80 GB2$1.81/hr$4.60/hr
RTX509032 GB5$2.00/hr
RTX409024 GB7$2.62/hr
A100-PCIe80 GB2$2.70/hr
MI300X192 GB1$3.45/hr
H100-PCIe80 GB2$3.98/hr
A10080 GB2$5.40/hr
L40S48 GB4$5.48/hr

4-bit — ≈74 GB needed

GPUVRAMGPUs neededCheapest trackedVerifiable A/B
A100-SXM80 GB1$0.91/hr$2.30/hr
RTX509032 GB3$1.20/hr
A100-PCIe80 GB1$1.35/hr
RTX409024 GB4$1.50/hr
H100-PCIe80 GB1$1.99/hr
A10080 GB1$2.70/hr
L40S48 GB2$2.74/hr
H100-SXM80 GB1$3.20/hr$3.85/hr

Method: VRAM ≈ parameters × bytes/parameter × 1.2 (20% headroom for KV cache and activations at ~8K context). Longer context or high concurrency needs more; training needs far more (optimizer states: ~4–8× weights). GPU counts assume even sharding. Above one 8-GPU node, the interconnect becomes the constraint — restrict to Grade A/B listings. Grades measure what sellers publish — deliverability of the written claim, not measured performance. No fleet holds a measured (Verified) badge yet; that tier arrives with the verification harness. Prices are this week's cheapest tracked walk-up listings (teaser prices excluded); every listing with grades and sources on the GPU pages. Interactive version for any model size: Model Fit.

These prices move weekly

The Delivered Compute Report tracks them — free, every row sourced.

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