Can I run Kimi K2 Thinking 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 Kimi K2 Thinking and Qwen3.5 397B A17B?

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

Compare

Kimi K2 Thinking 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.

Moonshot

Model

Kimi K2 Thinking

Tool calling

Best $0.600 in · $1.20 out

Context window 262K

Pricing

AlibabaQwen

Model

Qwen3.5 397B A17B

Image inputTool calling

Best $0.600 in · $3.60 out

Context window 262K

Pricing

Kimi K2 Thinking is cheaper across the board — 0% cheaper on input and 30% 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	Kimi K2 Thinking in	Kimi K2 Thinking out	Qwen3.5 397B A17B in	Qwen3.5 397B A17B out
Baseten	$0.600	$2.50	N/A	N/A
Fireworks AI	$0.600	$2.50	N/A	N/A
Gmi	$0.800	$1.20	N/A	N/A
Moonshot	$0.600	$2.50	N/A	N/A
Novita	$0.600	$2.50	N/A	N/A
Openrouter	$0.600	$2.50	$0.600	$3.60
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 · Moonshot · 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.

Moonshot · 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

Kimi K2 Thinking

Qwen3.5 397B A17B

Context window: 262,144 tokens; 262,144 tokens
Max output tokens: 262,144 tokens; 65,536 tokens
Vision: No; Yes
Function calling: Yes; Yes
Streaming: No; No
Release date: Nov 2025; Feb 2026

Cost calculator

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

Kimi K2 Thinking

Qwen3.5 397B A17B

Requests / day

Input tokens

Output tokens

Kimi K2 Thinking

Monthly

$555

Annual

$6.8K

Qwen3.5 397B A17B

Monthly

$720

Annual

$8.8K

Save $165/month with Kimi K2 Thinking

When to pick which

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

High-volume text generation
Use Kimi K2 Thinking. Output tokens are 30% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Kimi K2 Thinking. Its 262K max output limit reduces the need to split requests.

Frequently asked questions

Kimi K2 Thinking is cheaper on both input and output tokens.

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