Can I run GLM 4.7 Flash or Kimi K2 Thinking 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 GLM 4.7 Flash and Kimi K2 Thinking?

Kimi K2 Thinking has a larger context window at 262K tokens vs 200K. This matters for long documents, large codebases, and extended conversation histories.

Compare

GLM 4.7 Flash vs Kimi K2 Thinking

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.

Z Ai

Model

GLM 4.7 Flash

Image inputTool calling

Best $0.070 in · $0.400 out

Context window 200K

Pricing

Moonshot

Model

Kimi K2 Thinking

Tool calling

Best $0.600 in · $1.20 out

Context window 262K

Pricing

GLM 4.7 Flash is cheaper across the board — 88% cheaper on input and 84% 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	GLM 4.7 Flash in	GLM 4.7 Flash out	Kimi K2 Thinking in	Kimi K2 Thinking out
Baseten	N/A	N/A	$0.600	$2.50
Fireworks AI	N/A	N/A	$0.600	$2.50
Gmi	N/A	N/A	$0.800	$1.20
Moonshot	N/A	N/A	$0.600	$2.50
Novita	N/A	N/A	$0.600	$2.50
Openrouter	$0.070	$0.400	$0.600	$2.50

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 · Z Ai · Moonshot

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.

Z Ai · 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).

Moonshot · 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

GLM 4.7 Flash

Kimi K2 Thinking

Context window: 200,000 tokens; 262,144 tokens
Max output tokens: 32,000 tokens; 262,144 tokens
Vision: Yes; No
Function calling: Yes; Yes
Streaming: No; No
Release date: Jan 2026; Nov 2025

Cost calculator

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

GLM 4.7 Flash

Kimi K2 Thinking

Requests / day

Input tokens

Output tokens

GLM 4.7 Flash

Monthly

$81

Annual

$986

Kimi K2 Thinking

Monthly

$555

Annual

$6.8K

Save $474/month with GLM 4.7 Flash

When to pick which

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

Long-context tasks
Use Kimi K2 Thinking. Its 262K context window handles large codebases and documents better than 200K.
High-volume text generation
Use GLM 4.7 Flash. Output tokens are 84% 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

GLM 4.7 Flash is cheaper on both input and output tokens.

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