GPT-5.4 vs GPT OSS 120B (Cerebras): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for GPT-5.4 (OpenAI) and GPT OSS 120B (Cerebras) (Cerebras). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Mar 10, 2026

Interactive Cost Calculator

Select Models (2/10)

OpenAIGPT-5.4CerebrasGPT OSS 120B (Cerebras)

Use Case Preset

Fills in typical token counts for a workload type

Avg Input Tokens / Request

Tokens in each prompt sent to the model

Avg Output Tokens / Request

Tokens generated in each response

Monthly Requests

Total API calls per month

Cheapest: GPT OSS 120B (Cerebras) at $7.25/mo — save 92.8% vs GPT-5.4

							Alert
BestGPT OSS 120B (Cerebras)	Cerebras	$7.25	$0.000725	$3.50	$3.75	92.8%	Alerts coming soon
GPT-5.4	OpenAI	$100.00	$0.010000	$25.00	$75.00	—	Alerts coming soon

Monthly Cost Comparison

Price Comparison at a Glance

All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.

Pricing Type	GPT-5.4	GPT OSS 120B (Cerebras)	Cheaper
Input (standard)	$2.50/M	$0.35/M	GPT OSS 120B (Cerebras)
Output	$15.00/M	$0.75/M	GPT OSS 120B (Cerebras)
Cached input	$0.25/M	N/A	—

Prices last verified: 2026-03-08 – 2026-03-10

Cost Breakdown by Usage Volume

Estimated monthly costs at different request volumes, assuming 1,000 input tokens and 500 output tokens per request. Adjust in the calculator above for your specific use case.

Volume	GPT-5.4Monthly	GPT OSS 120B (Cerebras)Monthly	GPT-5.4Per request	GPT OSS 120B (Cerebras)Per request
1K requests/mo	$10.00	$0.72	$0.010000	$0.000725
10K requests/mo	$100.00	$7.25	$0.010000	$0.000725
100K requests/mo	$1,000.00	$72.50	$0.010000	$0.000725
1M requests/mo	$10,000.00	$725.00	$0.010000	$0.000725

Green values indicate the lower-cost option at each volume tier. Cost per request is calculated at 1,000 input + 500 output tokens using standard (non-batch, non-cached) pricing.

Price History

Input price per 1M tokens

When to Choose GPT-5.4

by OpenAI

Code generation
Document summarization
RAG / Semantic search

Input / 1M tokens

$2.50/M

Output / 1M tokens

$15.00/M

Context window

1,050,000

Tier

premium

When to Choose GPT OSS 120B (Cerebras)

by Cerebras

Code generation
Document summarization
General chatbot

Input / 1M tokens

$0.35/M

Output / 1M tokens

$0.75/M

Context window

128,000

Tier

mid

Key Differences Beyond Price

Cost is only one factor in choosing an AI model. Context window size, rate limits, supported features, and latency all affect whether a model fits your use case.

Capability	GPT-5.4	GPT OSS 120B (Cerebras)
Context window	1,050,000 tokens	128,000 tokens
Max output tokens	128,000 tokens	16,384 tokens
Performance tier	Premium	Mid
Vision / image input	Yes	No
Function calling	Yes	Yes
JSON mode	Yes	Yes
Prompt caching	Yes	No
Batch API (50% discount)	No	No
Extended reasoning	No	No
Fine-tuning	No	No
Rate limit (req/min)	10,000	Not published

GPT-5.4 notes

Latest and most powerful OpenAI model. 1.05M context window. Prompts over 272K input tokens priced at 2x input and 1.5x output.

GPT OSS 120B (Cerebras) notes

Cerebras wafer-scale inference: ~3,000 tokens/sec. Best for latency-critical production workloads requiring a large model.

Frequently Asked Questions

Is GPT-5.4 cheaper than GPT OSS 120B (Cerebras)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), GPT OSS 120B (Cerebras) costs $72.50/month versus $1,000.00/month for GPT-5.4 — a 93% saving. Your actual savings will vary based on your token profile; output-heavy workloads amplify differences in output pricing.

Which model has a larger context window, GPT-5.4 or GPT OSS 120B (Cerebras)?

GPT-5.4 has a larger context window at 1,050,000 tokens, compared to 128,000 tokens for GPT OSS 120B (Cerebras). A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do GPT-5.4 and GPT OSS 120B (Cerebras) support the Batch API?

Neither GPT-5.4 nor GPT OSS 120B (Cerebras) currently supports a batch API with discounted pricing. For batch-eligible alternatives, consider models from OpenAI, Anthropic, or Google that include batch API support.

Which model offers better prompt caching?

GPT-5.4 supports prompt caching at $0.25/M for cached input, while GPT OSS 120B (Cerebras) does not offer prompt caching. For RAG applications or chatbots with large, repeated context, GPT-5.4's caching capability can substantially reduce effective costs.

What are the best use cases for GPT-5.4 vs GPT OSS 120B (Cerebras)?

Both models are well-suited for Code generation, Document summarization. GPT-5.4 is particularly strong for RAG / Semantic search. GPT OSS 120B (Cerebras) is favored for General chatbot. At the same quality level, the lower-cost model is usually preferable; use this page's calculator to compare total monthly spend at your volume.

What is the cost per request for GPT-5.4 vs GPT OSS 120B (Cerebras)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — GPT-5.4 costs $0.010000 per request and GPT OSS 120B (Cerebras) costs $0.000725 per request. At 100,000 requests/month, that translates to $1,000.00 and $72.50 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

GPT-5.4 vs GPT OSS 120B (Cerebras): Summary

When comparing GPT-5.4 and GPT OSS 120B (Cerebras) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. GPT OSS 120B (Cerebras) offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $72.50/month, compared to $1,000.00/month for GPT-5.4.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. GPT-5.4 charges $2.50/M for input tokens and $15.00/M for output tokens. GPT OSS 120B (Cerebras) charges $0.35/M input and $0.75/M output. If your workload is output-heavy (more tokens generated than consumed as input), the model with the lower output price compounds cost savings significantly at scale.

Prompt caching is supported by GPT-5.4 but not GPT OSS 120B (Cerebras). For workloads with large, repeated system prompts or document context — such as RAG pipelines or multi-turn conversations with a fixed knowledge base — prompt caching can reduce effective input costs by 60–90%, which may change the cost ranking between these two models at your specific usage pattern.

Context window capacity differs between the two: GPT-5.4 supports up to 1,050,000 tokens in a single request, versus 128,000 tokens for GPT OSS 120B (Cerebras). A larger context window is essential for document summarization, large codebase analysis, and multi-document retrieval-augmented generation (RAG) applications.

Use the interactive calculator at the top of this page to enter your actual token usage and monthly request volume for a precise cost comparison tailored to your workload. Adjust for batch API discounts and prompt caching to find the most cost-effective option for your specific deployment.

Explore other model comparisons from the same providers or performance tiers.

GPT-5.4 vs GPT-5.4 Pro GPT-5.3 vs GPT-5.4 GPT-5.2 vs GPT-5.4 GPT-5.2 Pro vs GPT-5.4 GPT-5.4 Pro vs GPT OSS 120B (Cerebras)GPT-5.3 vs GPT OSS 120B (Cerebras)GPT-5.2 vs GPT OSS 120B (Cerebras)GPT-5.2 Pro vs GPT OSS 120B (Cerebras)

Related Provider Pages

View complete pricing tables and model lineups for the providers behind these models.

OpenAI API Pricing — All Models Cerebras API Pricing — All Models

Relevant Use Cases

See cost recommendations for workloads where GPT-5.4 or GPT OSS 120B (Cerebras) is recommended.

Code Generation RAG / Semantic Search Document Summarization General Chatbot