Can I run GPT-3.5 Turbo or Qwen3 Omni 30b A3b 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 GPT-3.5 Turbo and Qwen3 Omni 30b A3b?

Qwen3 Omni 30b A3b has a larger context window at 65K tokens vs 16K. This matters for long documents, large codebases, and extended conversation histories.

Compare

GPT-3.5 Turbo vs Qwen3 Omni 30b A3b

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.

OpenAI

Model

GPT-3.5 Turbo

Tool calling

Best $0.500 in · $1.50 out

Context window 16K

Pricing

AlibabaQwen

Model

Qwen3 Omni 30b A3b

Image inputTool calling

Best $0.250 in · $0.970 out

Context window 66K

Pricing

Qwen3 Omni 30b A3b is cheaper across the board — 50% cheaper on input and 35% cheaper on output.

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	GPT-3.5 Turbo in	GPT-3.5 Turbo out	Qwen3 Omni 30b A3b in	Qwen3 Omni 30b A3b out
Azure	$0.500	$1.50	N/A	N/A
Github Copilot	N/A	N/A	N/A	N/A
Novita	N/A	N/A	$0.250	$0.970
OpenAI	$0.500	$1.50	N/A	N/A
Openrouter	$1.50	$2.00	N/A	N/A
Text Completion Openai	$1.50	$2.00	N/A	N/A
Vercel Ai Gateway	$0.500	$1.50	N/A	N/A

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 · OpenAI · 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.

OpenAI · 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

GPT-3.5 Turbo

Qwen3 Omni 30b A3b

Context window: 16,385 tokens; 65,536 tokens
Max output tokens: 4,096 tokens; 16,384 tokens
Vision: No; Yes
Function calling: Yes; Yes
Streaming: No; No
Release date: May 2023; N/A

Cost calculator

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

GPT-3.5 Turbo

Qwen3 Omni 30b A3b

Requests / day

Input tokens

Output tokens

GPT-3.5 Turbo

Monthly

$375

Annual

$4.6K

Qwen3 Omni 30b A3b

Monthly

$221

Annual

$2.7K

Save $155/month with Qwen3 Omni 30b A3b

When to pick which

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

Long-context tasks
Use Qwen3 Omni 30b A3b. Its 65K context window handles large codebases and documents better than 16K.
High-volume text generation
Use Qwen3 Omni 30b A3b. Output tokens are 35% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Qwen3 Omni 30b A3b. Its 16K max output limit reduces the need to split requests.

Frequently asked questions

Qwen3 Omni 30b A3b is cheaper on both input and output tokens.

More comparisons

Other popular head-to-head matchups.