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GPT OSS 120B (Cerebras) vs NVIDIA: Nemotron 3 Ultra: API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for GPT OSS 120B (Cerebras) (Cerebras) and NVIDIA: Nemotron 3 Ultra (Nvidia NIM). Use the interactive calculator below to compute your exact monthly cost based on your token usage and request volume.

Prices verified Jun 26, 2026

Interactive Cost Calculator

CerebrasGPT OSS 120B (Cerebras)Nvidia NIMNVIDIA: Nemotron 3 Ultra

Fills in typical token counts for a workload type

Tokens in each prompt sent to the model

Tokens generated in each response

Total API calls per month

Showing costs for 2 models. Cheapest: GPT OSS 120B (Cerebras) at $7.25/month.

Cheapest: GPT OSS 120B (Cerebras) at $7.25/mo — save 54.7% vs NVIDIA: Nemotron 3 Ultra
Alert
BestGPT OSS 120B (Cerebras)
Cerebras$7.25$0.000725$3.50$3.7554.7%Alerts coming soon
NVIDIA: Nemotron 3 Ultra
Nvidia NIM$16.00$0.001600$5.00$11.00Alerts 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 TypeGPT OSS 120B (Cerebras)NVIDIA: Nemotron 3 UltraCheaper
Input (standard)$0.35/M$0.50/MGPT OSS 120B (Cerebras)
Output$0.75/M$2.20/MGPT OSS 120B (Cerebras)

Prices last verified: 2026-03-10 – 2026-06-26

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.

VolumeGPT OSS 120B (Cerebras)MonthlyNVIDIA: Nemotron 3 UltraMonthlyGPT OSS 120B (Cerebras)Per requestNVIDIA: Nemotron 3 UltraPer request
1K requests/mo$0.72$1.60$0.000725$0.001600
10K requests/mo$7.25$16.00$0.000725$0.001600
100K requests/mo$72.50$160.00$0.000725$0.001600
1M requests/mo$725.00$1,600.00$0.000725$0.001600

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 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

When to Choose NVIDIA: Nemotron 3 Ultra

by Nvidia NIM

  • General chatbot

Input / 1M tokens

$0.50/M

Output / 1M tokens

$2.20/M

Context window

1,000,000

Tier

budget

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.

CapabilityGPT OSS 120B (Cerebras)NVIDIA: Nemotron 3 Ultra
Context window128,000 tokens1,000,000 tokens
Max output tokens16,384 tokens16,384 tokens
Performance tierMidBudget
Vision / image inputNoNo
Function callingYesYes
JSON modeYesYes
Prompt cachingNoNo
Batch API (50% discount)NoNo
Extended reasoningNoYes
Fine-tuningNoNo

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 OSS 120B (Cerebras) cheaper than NVIDIA: Nemotron 3 Ultra?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), GPT OSS 120B (Cerebras) costs $72.50/month versus $160.00/month for NVIDIA: Nemotron 3 Ultra — a 55% 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 OSS 120B (Cerebras) or NVIDIA: Nemotron 3 Ultra?

NVIDIA: Nemotron 3 Ultra has a larger context window at 1,000,000 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 OSS 120B (Cerebras) and NVIDIA: Nemotron 3 Ultra support the Batch API?

Neither GPT OSS 120B (Cerebras) nor NVIDIA: Nemotron 3 Ultra 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?

Neither GPT OSS 120B (Cerebras) nor NVIDIA: Nemotron 3 Ultra currently supports prompt caching. For prompt-caching capable alternatives, consider Claude models from Anthropic or GPT-4o from OpenAI.

What are the best use cases for GPT OSS 120B (Cerebras) vs NVIDIA: Nemotron 3 Ultra?

Both models are well-suited for General chatbot. GPT OSS 120B (Cerebras) is particularly strong for Code generation, Document summarization. NVIDIA: Nemotron 3 Ultra is favored for similar workflows. 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 OSS 120B (Cerebras) vs NVIDIA: Nemotron 3 Ultra?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — GPT OSS 120B (Cerebras) costs $0.000725 per request and NVIDIA: Nemotron 3 Ultra costs $0.001600 per request. At 100,000 requests/month, that translates to $72.50 and $160.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

GPT OSS 120B (Cerebras) vs NVIDIA: Nemotron 3 Ultra: Summary

When comparing GPT OSS 120B (Cerebras) and NVIDIA: Nemotron 3 Ultra 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 $160.00/month for NVIDIA: Nemotron 3 Ultra.

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. GPT OSS 120B (Cerebras) charges $0.35/M for input tokens and $0.75/M for output tokens. NVIDIA: Nemotron 3 Ultra charges $0.50/M input and $2.20/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.

Context window capacity differs between the two: NVIDIA: Nemotron 3 Ultra supports up to 1,000,000 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.

Related Provider Pages

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Relevant Use Cases

See cost recommendations for workloads where GPT OSS 120B (Cerebras) or NVIDIA: Nemotron 3 Ultra is recommended.