IBM Granite 4.1 8B API pricing

1 provider serves IBM Granite 4.1 8B. IBM Granite 4.1 8B is an open-weight model (Apache-2.0) with 8.8B total parameters, up to 131K context. Prices below are per 1M tokens, cheapest input first (self-hosting math further down).

Refreshed 2026-10-08 · list prices from provider APIs

Input floor $0.050/1M at W&B Inference Output floor $0.100/1M at W&B Inference Find your workload winner →

Provider	Input $/1M	Output $/1M	Cache read $/1M	Context
W&B Inference	$0.050	$0.100output floor	-	131K	Use

The cheapest way to run IBM Granite 4.1 8B

On an illustrative 70M-input / 30M-output monthly workload, today's lowest listed cost is roughly $6.50/month, at W&B Inference. Input-heavy, output-heavy and cache-heavy workloads can produce different winners. Use the live mix calculator below rather than combining floors from two different providers. On output-token cost alone, a busy self-hosted deployment can work out cheaper (~$0.040/1M output on V100). See the math below. Run your own numbers in the breakeven calculator, or read the breakeven math.

Your actual monthly cost

Uses today's list prices

Workload preset Input tokens / month (millions) Output tokens / month (millions) Input served from cache %

Cache read uses the listed cache rate where available; otherwise it falls back to normal input price. Batch, write-cache, volume and negotiated discounts are excluded.

Or run it yourself: IBM Granite 4.1 8B self-hosting economics

IBM Granite 4.1 8B is open-weight (Apache-2.0), so the API price above competes with the GPU-hour market. 8.8B total parameters needs roughly 13 GB VRAM at FP8 or 7 GB at INT4, KV-cache headroom included.

GPU that fits (FP8, single card)	VRAM	From $/hr	Cheapest at
V100	32 GB	$0.055marketplace	Vast.ai	Rent
RTX 3090	24 GB	$0.121marketplace	Vast.ai	Rent
RTX 4090	24 GB	$0.136marketplace	Vast.ai	Rent
RTX A5000	24 GB	$0.160community	RunPod	Rent
RTX A4000	16 GB	$0.170community	RunPod	Rent
RTX 4000 SFF Ada Generation	20 GB	$0.180community	RunPod	Rent

Breakeven estimate: a well-batched vLLM deployment on one V100 ($0.055/hr) at ~767 aggregate tok/s and 50% utilization works out to roughly $0.040 per 1M output tokens, versus $0.100 via the cheapest output-token API (W&B Inference). Self-hosting wins on cost if you can keep the GPU busy. Planning estimate: throughput varies with hardware, quantization, batch size and context. Tune it in the calculator.

Related models

Model	Cheapest in $/1M	Cheapest out $/1M	Providers
Granite 4.2 8B	$0.060	$0.150	2

FAQ

What is the cheapest API for IBM Granite 4.1 8B?

As of 2026-10-08, the lowest input price for IBM Granite 4.1 8B is W&B Inference at $0.050 per 1M input tokens. The lowest output price is W&B Inference at $0.100 per 1M output tokens. The cheapest provider for a real workload depends on its input/output mix.

How much VRAM do you need to self-host IBM Granite 4.1 8B?

IBM Granite 4.1 8B has 8.8B parameters, so plan for roughly 13 GB of VRAM at FP8 or 7 GB at INT4/AWQ, KV-cache headroom included. A single V100 (32 GB) fits it.

← All models · GPU rental prices · Breakeven calculator · Get this data as JSON