Can I run GLM 4.7 Flash or Llama 4 Scout 17b 16e 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 Llama 4 Scout 17b 16e?

Llama 4 Scout 17b 16e has a larger context window at 327K tokens vs 200K. This matters for long documents, large codebases, and extended conversation histories.

Compare

GLM 4.7 Flash vs Llama 4 Scout 17b 16e

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

Llama 4 Scout 17b 16e

Tool calling

Best $0.050 in · $0.100 out

Context window 328K

Pricing

Llama 4 Scout 17b 16e is cheaper across the board — 28% cheaper on input and 75% 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	Llama 4 Scout 17b 16e in	Llama 4 Scout 17b 16e out
Azure	N/A	N/A	$0.200	$0.780
DeepInfra	N/A	N/A	$0.080	$0.300
Groq	N/A	N/A	$0.110	$0.340
Lambda	N/A	N/A	$0.050	$0.100
Novita	N/A	N/A	$0.180	$0.590
Nscale	N/A	N/A	$0.090	$0.290
Openrouter	$0.070	$0.400	N/A	N/A
Sambanova	N/A	N/A	$0.400	$0.700
Together AI	N/A	N/A	$0.180	$0.590
Wandb	N/A	N/A	$17000.00	$66000.00

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 · Meta

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).

Meta · 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

Llama 4 Scout 17b 16e

Context window: 200,000 tokens; 327,680 tokens
Max output tokens: 32,000 tokens; 327,680 tokens
Vision: Yes; No
Function calling: Yes; Yes
Streaming: No; No
Release date: Jan 2026; N/A

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

Llama 4 Scout 17b 16e

Requests / day

Input tokens

Output tokens

GLM 4.7 Flash

Monthly

$81

Annual

$986

Llama 4 Scout 17b 16e

Monthly

$143

Annual

$1.7K

Save $62/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 Llama 4 Scout 17b 16e. Its 327K context window handles large codebases and documents better than 200K.
High-volume text generation
Use Llama 4 Scout 17b 16e. Output tokens are 75% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Llama 4 Scout 17b 16e. Its 327K max output limit reduces the need to split requests.

Frequently asked questions

Llama 4 Scout 17b 16e is cheaper on both input and output tokens.

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