API cost decision in 10 seconds

GPT Audio vs Granite 4.0 Micro

Pick Granite 4.0 Micro when budget and context both matter.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick Granite 4.0 Micro when budget and context both matter.

On the standard 1M input plus 500K output workload, Granite 4.0 Micro is estimated at $0.07 vs $7.5 for GPT Audio, saving $7.43 (99% lower).

Cost-first pickGranite 4.0 Micro
Context-first pickGranite 4.0 Micro
Sample savings$7.4399%
10x traffic gap$74.27

Granite 4.0 Micro is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $74.27. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Granite 4.0 Micro stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGPT AudioGranite 4.0 Micro
Input-heavy / RAG 5M input + 500K output Granite 4.0 Micro $17.5 $0.14
Balanced workload 1M input + 1M output Granite 4.0 Micro $12.5 $0.13
Output-heavy chatbot 1M input + 5M output Granite 4.0 Micro $52.5 $0.58
Cheaper inputGranite 4.0 Micro$2.5 vs $0.02 / 1M
Cheaper outputGranite 4.0 Micro$10 vs $0.11 / 1M
Larger contextGranite 4.0 Micro128K vs 131K
Sample workloadGranite 4.0 Micro$7.5 vs $0.07

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GPT AudioCalculating…Estimated API cost
Granite 4.0 MicroCalculating…Estimated API cost
Cheaper for this workloadCalculating…Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

Granite 4.0 Micro has the lower input price, Granite 4.0 Micro has the lower output price, and Granite 4.0 Micro offers the larger context window.

For a 1M input token plus 500K output token workload, the estimated API cost is $7.5 for GPT Audio and $0.07 for Granite 4.0 Micro.

Best Fit

Choose GPT Audio when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose Granite 4.0 Micro when you care most about lower input-token price, lower output-token price, and larger context window.

Head-to-Head Specs
FeatureGPT Audio
(OpenAI)
Granite 4.0 Micro
(IBM)
Input Price
prompt tokens per 1M
$2.5$0.02
Completion Price
per 1M tokens
$10$0.11
Sample Workload Cost
1M input + 500K output
$7.5$0.07
Context Window128K131K
Release Date2026-01-192025-10-20
GPT Audio

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...

Granite 4.0 Micro

Granite-4.0-H-Micro is a 3B parameter from the Granite 4 family of models. These models are the latest in a series of models released by IBM. They are fine-tuned for long...

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGranite 4.0 MicroOn the standard 1M input plus 500K output workload, Granite 4.0 Micro is estimated at $0.07 vs $7.5 for GPT Audio, saving $7.43 (99% lower).
High-volume input processingGranite 4.0 MicroLower prompt-token price matters most when prompts or retrieved passages dominate the bill.
Long responses and chatbotsGranite 4.0 MicroLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGranite 4.0 MicroA larger context window leaves more room for retrieved passages and source files.