Compare

Ft Babbage 002 vs GPT-4

Pricing is only the shared seller matrix below. Best rates and catalog map are separate sections, so no chart is embedded in pricing. Open the calculator for the same workload on each side.

Other

Model

Ft Babbage 002

Best $1.60 in · $1.60 out

Context window 16K

Pricing
OpenAI

Model

GPT-4

Tool calling

Best $10.00 in · $30.00 out

Context window 8K

Pricing

Ft Babbage 002 is cheaper across the board — 94% cheaper on input and 97% cheaper on output.

Pricing matrix

Shared sellers only. Each row is a host that lists both models. Dollar amounts are per 1M tokens. Lowest in each pair of columns is emphasized.

ProviderFt Babbage 002 inFt Babbage 002 outGPT-4 inGPT-4 out
AzureN/AN/A$30.00$60.00
Github CopilotN/AN/AN/AN/A
OpenAIN/AN/A$30.00$60.00
OpenrouterN/AN/A$30.00$60.00
Text Completion Openai$1.60$1.60N/AN/A
Vercel Ai GatewayN/AN/A$10.00$30.00

Best listed rates (this pair)

Same "best row in current pricing" logic as model pages: a compact view of the lowest input and output we show for each side. This is not the seller matrix.

Catalog map · Other · OpenAI

Each chart uses real catalog rows that include both list input and list output ($/1M). Larger green dots are the models on this comparison page; accent dots are other active models from that provider.

Other · input vs output

Scatter chart: X = input $/M, Y = output $/M. This page's models are labeled on the green dots; hover others for detail.

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

OpenAI · input vs output

ListedoutputUSD/1M

One dot per catalog row that has both list prices. Green dots are labeled with the models on this page; hover any dot for name and prices. Upper-right means higher cost on both axes ($/1M).

Specifications

Each column header is the full model name. Tint marks the favorable value where we compute a winner.

Spec
Ft Babbage 002
GPT-4
Context window
16,384 tokens
8,192 tokens
Max output tokens
4,096 tokens
4,096 tokens
Vision
No
No
Function calling
No
Yes
Streaming
No
No
Release date
N/A
May 2023

Cost calculator

Same requests, input tokens, and output tokens for both columns. Pick the provider row that matches how you buy.

Ft Babbage 002
Monthly
$720
Annual
$8.8K
GPT-4
Monthly
$7.5K
Annual
$91.3K
Save $6.8K/month with Ft Babbage 002

When to pick which

Short takeaways: no cards, just the points. Validate with your own workloads.

  • Long-context tasks

    Use Ft Babbage 002. Its 16K context window handles large codebases and documents better than 8K.

  • High-volume text generation

    Use Ft Babbage 002. Output tokens are 97% cheaper, which compounds significantly at scale.

Frequently asked questions

Ft Babbage 002 is cheaper on both input and output tokens.

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