Can I run Ft Babbage 002 or Qwen3.5 397B A17B cheaper on another provider?

Some models are available on inference providers like Together AI, Groq, and Fireworks AI at lower prices. Check each model's pricing page for the full provider comparison.

What is the context window difference between Ft Babbage 002 and Qwen3.5 397B A17B?

Qwen3.5 397B A17B has a larger context window at 262K tokens vs 16K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Ft Babbage 002 vs Qwen3.5 397B A17B

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

AlibabaQwen

Model

Qwen3.5 397B A17B

Image inputTool calling

Best $0.600 in · $3.60 out

Context window 262K

Pricing

Qwen3.5 397B A17B is 62% cheaper on input. Ft Babbage 002 is 55% cheaper on output. The best choice depends on your input/output ratio.

Estimate cost

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.

Provider	Ft Babbage 002 in	Ft Babbage 002 out	Qwen3.5 397B A17B in	Qwen3.5 397B A17B out
Openrouter	N/A	N/A	$0.600	$3.60
Text Completion Openai	$1.60	$1.60	N/A	N/A
Together AI	N/A	N/A	$0.600	$3.60

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 · Alibaba

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).

Alibaba · 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

Qwen3.5 397B A17B

Context window: 16,384 tokens; 262,144 tokens
Max output tokens: 4,096 tokens; 65,536 tokens
Vision: No; Yes
Function calling: No; Yes
Streaming: No; No
Release date: N/A; Feb 2026

Cost calculator

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

Ft Babbage 002

Qwen3.5 397B A17B

Requests / day

Input tokens

Output tokens

Ft Babbage 002

Monthly

$720

Annual

$8.8K

Qwen3.5 397B A17B

Monthly

$720

Annual

$8.8K

When to pick which

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

Long-context tasks
Use Qwen3.5 397B A17B. Its 262K context window handles large codebases and documents better than 16K.
High-volume text generation
Use Ft Babbage 002. Output tokens are 55% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Qwen3.5 397B A17B. Its 65K max output limit reduces the need to split requests.

Frequently asked questions

Qwen3.5 397B A17B is cheaper on input tokens, while Ft Babbage 002 is cheaper on output. The best choice depends on your input/output ratio.

More comparisons

Other popular head-to-head matchups.