Can I run GLM 4.6 or Gpt Oss Safeguard 120b 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 4.6 and Gpt Oss Safeguard 120b?

GLM 4.6 has a larger context window at 202K tokens vs 131K. This matters for long documents, large codebases, and extended conversation histories.

Compare

GLM 4.6 vs Gpt Oss Safeguard 120b

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 4.6

Tool calling

Best $0.400 in · $1.75 out

Context window 203K

Pricing

OpenAI

Model

Gpt Oss Safeguard 120b

Best $1.20 in · $1.20 out

Context window 131K

Pricing

GLM 4.6 is 50% cheaper on input. Gpt Oss Safeguard 120b is 45% 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	GLM 4.6 in	GLM 4.6 out	Gpt Oss Safeguard 120b in	Gpt Oss Safeguard 120b out
Baseten	$0.600	$2.20	N/A	N/A
Fireworks AI	N/A	N/A	$1.20	$1.20
Novita	$0.550	$2.20	N/A	N/A
Openrouter	$0.400	$1.75	N/A	N/A
Together AI	$0.600	$2.20	N/A	N/A
Vercel Ai Gateway	$0.450	$1.80	N/A	N/A
Z Ai	$0.600	$2.20	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 · Z Ai · OpenAI

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).

OpenAI · 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 4.6

Gpt Oss Safeguard 120b

Context window: 202,800 tokens; 131,072 tokens
Max output tokens: 131,000 tokens; 131,072 tokens
Vision: No; No
Function calling: Yes; No
Streaming: No; No
Release date: Sep 2025; N/A

Cost calculator

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

GLM 4.6

Gpt Oss Safeguard 120b

Requests / day

Input tokens

Output tokens

GLM 4.6

Monthly

$383

Annual

$4.7K

Gpt Oss Safeguard 120b

Monthly

$540

Annual

$6.6K

Save $158/month with GLM 4.6

When to pick which

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

Long-context tasks
Use GLM 4.6. Its 202K context window handles large codebases and documents better than 131K.
High-volume text generation
Use Gpt Oss Safeguard 120b. Output tokens are 45% cheaper, which compounds significantly at scale.
Long output (reports, code files)
Use Gpt Oss Safeguard 120b. Its 131K max output limit reduces the need to split requests.

Frequently asked questions

GLM 4.6 is cheaper on input tokens, while Gpt Oss Safeguard 120b is cheaper on output. The best choice depends on your input/output ratio.

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