Can I run Qwen3.5 397B A17B or Yi Large 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 Qwen3.5 397B A17B and Yi Large?

Qwen3.5 397B A17B has a larger context window at 262K tokens vs 32K. This matters for long documents, large codebases, and extended conversation histories.

Compare

Qwen3.5 397B A17B vs Yi Large

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.

AlibabaQwen

Model

Qwen3.5 397B A17B

Image inputTool calling

Best $0.600 in · $3.60 out

Context window 262K

Pricing

01 Ai

Model

Yi Large

Best $3.00 in · $3.00 out

Context window 33K

Pricing

Qwen3.5 397B A17B is 80% cheaper on input. Yi Large is 16% 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	Qwen3.5 397B A17B in	Qwen3.5 397B A17B out	Yi Large in	Yi Large out
Fireworks AI	N/A	N/A	$3.00	$3.00
Openrouter	$0.600	$3.60	N/A	N/A
Together AI	$0.600	$3.60	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 · Alibaba · 01 Ai

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.

Alibaba · 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).

01 Ai · 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

Qwen3.5 397B A17B

Yi Large

Context window: 262,144 tokens; 32,768 tokens
Max output tokens: 65,536 tokens; 32,768 tokens
Vision: Yes; No
Function calling: Yes; No
Streaming: No; No
Release date: Feb 2026; N/A

Cost calculator

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

Qwen3.5 397B A17B

Yi Large

Requests / day

Input tokens

Output tokens

Qwen3.5 397B A17B

Monthly

$720

Annual

$8.8K

Yi Large

Monthly

$1.4K

Annual

$16.4K

Save $630/month with Qwen3.5 397B A17B

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 32K.
High-volume text generation
Use Yi Large. Output tokens are 16% 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 Yi Large is cheaper on output. The best choice depends on your input/output ratio.

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