Compare

Babbage 002 vs DeepSeek V3

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

Babbage 002

Best $0.400 in · $0.400 out

Context window 16K

Pricing
Deepseek

Model

DeepSeek V3

Tool calling

Best $0.140 in · $0.200 out

Context window 131K

Pricing

DeepSeek V3 is 30% cheaper on input. Babbage 002 is 4% cheaper on output. The best choice depends on your input/output ratio.

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.

ProviderBabbage 002 inBabbage 002 outDeepSeek V3 inDeepSeek V3 out
AzureN/AN/A$1.14$4.56
DeepInfraN/AN/A$0.380$0.890
DeepseekN/AN/A$0.280$0.420
Fireworks AIN/AN/A$0.900$0.900
HyperbolicN/AN/A$0.200$0.200
NebiusN/AN/A$0.500$1.50
NovitaN/AN/A$0.400$1.30
OpenrouterN/AN/A$0.140$0.280
ReplicateN/AN/A$1.45$1.45
Text Completion Openai$0.400$0.400N/AN/A
Together AIN/AN/A$1.25$1.25
Vercel Ai GatewayN/AN/A$0.900$0.900

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 · Deepseek

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).

Deepseek · 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
Babbage 002
DeepSeek V3
Context window
16,384 tokens
131,072 tokens
Max output tokens
4,096 tokens
8,192 tokens
Vision
No
No
Function calling
No
Yes
Streaming
No
No
Release date
N/A
Dec 2024

Cost calculator

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

Babbage 002
Monthly
$180
Annual
$2.2K
DeepSeek V3
Monthly
$84
Annual
$1.0K
Save $96/month with DeepSeek V3

When to pick which

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

  • Long-context tasks

    Use DeepSeek V3. Its 131K context window handles large codebases and documents better than 16K.

  • High-volume text generation

    Use Babbage 002. Output tokens are 4% cheaper, which compounds significantly at scale.

  • Long output (reports, code files)

    Use DeepSeek V3. Its 8K max output limit reduces the need to split requests.

Frequently asked questions

DeepSeek V3 is cheaper on input tokens, while Babbage 002 is cheaper on output. The best choice depends on your input/output ratio.

More comparisons

Other popular head-to-head matchups.