IBM

Granite 3.3 8B (Non-reasoning)

AI model by IBM. Real-time pricing and benchmark data.

Pricing (per 1M tokens)

Input$0.03
Output$0.25
Blended (3:1)$0.09

Source: Artificial Analysis

Performance

Output Speed14 tok/s
Time to First Token28160ms

Median values from Artificial Analysis

Benchmarks

Editorial Analysis

Profile. Granite 3.3 8B (Non-reasoning) is a budget-tier option from IBM at $0.25/M output tokens. Despite the low price, it scores competitively on measurable benchmarks — making it a candidate for high-volume production workloads where unit cost dominates.

Latency. On latency, Granite 3.3 8B (Non-reasoning) reports 14 tok/s output speed and 28160ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.

Cost model. For a workload of 1M input tokens + 100K output tokens, Granite 3.3 8B (Non-reasoning) costs $0.06 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.

Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.

Compare with similar models

ModelInputOutputSpeed
Granite 3.3 8B (Non-reasoning)Current
$0.03$0.2514 tok/s
Qwen3.5 9B (Non-reasoning)
$0.17$0.2587 tok/s
Mistral 7B Instruct
$0.25$0.25122 tok/s
Llama 2 Chat 7B
$0.05$0.25
Nova Lite
$0.06$0.24151 tok/s
Nemotron 3.5 Lightning
$0.07$0.22302 tok/s

Example Costs

Single Request
$0.0002
1.0K in / 500 out
1K Requests/day
$0.1550
1.0M in / 500.0K out
10K Requests/day
$1.55
10.0M in / 5.0M out