GPT-4o (Azure) vs GPT OSS 120B (Cerebras): API Cost Comparison
Compare the API pricing, context windows, features, and real-world cost projections for GPT-4o (Azure) (Azure 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 11, 2026
Interactive Cost Calculator
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Showing costs for 2 models. Cheapest: GPT OSS 120B (Cerebras) at $7.25/month.
| Alert | |||||||
|---|---|---|---|---|---|---|---|
BestGPT OSS 120B (Cerebras) | Cerebras | $7.25 | $0.000725 | $3.50 | $3.75 | 90.3% | Alerts coming soon |
GPT-4o (Azure) | Azure OpenAI | $75.00 | $0.007500 | $25.00 | $50.00 | — | Alerts coming soon |
Monthly Cost Comparison
Price Comparison at a Glance
All prices are in USD per 1 million tokens ($/M tokens). Lower is cheaper.
| Pricing Type | GPT-4o (Azure) | GPT OSS 120B (Cerebras) | Cheaper |
|---|---|---|---|
| Input (standard) | $2.50/M | $0.35/M | GPT OSS 120B (Cerebras) |
| Output | $10.00/M | $0.75/M | GPT OSS 120B (Cerebras) |
Prices last verified: 2026-03-10 – 2026-03-11
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-4o (Azure)Monthly | GPT OSS 120B (Cerebras)Monthly | GPT-4o (Azure)Per request | GPT OSS 120B (Cerebras)Per request |
|---|---|---|---|---|
| 1K requests/mo | $7.50 | $0.72 | $0.007500 | $0.000725 |
| 10K requests/mo | $75.00 | $7.25 | $0.007500 | $0.000725 |
| 100K requests/mo | $750.00 | $72.50 | $0.007500 | $0.000725 |
| 1M requests/mo | $7,500.00 | $725.00 | $0.007500 | $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 tokensWhen to Choose GPT-4o (Azure)
by Azure OpenAI
- General chatbot
- Content Creation
- Data extraction
Input / 1M tokens
$2.50/M
Output / 1M tokens
$10.00/M
Context window
128,000
Tier
mid
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-4o (Azure) | GPT OSS 120B (Cerebras) |
|---|---|---|
| Context window | 128,000 tokens | 128,000 tokens |
| Max output tokens | 16,384 tokens | 16,384 tokens |
| Performance tier | Mid | Mid |
| Vision / image input | Yes | No |
| Function calling | Yes | Yes |
| JSON mode | Yes | Yes |
| Prompt caching | No | No |
| Batch API (50% discount) | No | No |
| Extended reasoning | No | No |
| Fine-tuning | No | No |
GPT-4o (Azure) notes
GPT-4o via Azure OpenAI Service. Enterprise features include Azure AD auth, VNet support, content filtering, and compliance certifications (SOC 2, ISO 27001, HIPAA).
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-4o (Azure) 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 $750.00/month for GPT-4o (Azure) — a 90% 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-4o (Azure) or GPT OSS 120B (Cerebras)?
Both GPT-4o (Azure) and GPT OSS 120B (Cerebras) have the same context window: 128,000 tokens.
Do GPT-4o (Azure) and GPT OSS 120B (Cerebras) support the Batch API?
Neither GPT-4o (Azure) 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?
Neither GPT-4o (Azure) nor GPT OSS 120B (Cerebras) 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-4o (Azure) vs GPT OSS 120B (Cerebras)?
Both models are well-suited for General chatbot. GPT-4o (Azure) is particularly strong for Content Creation, Data extraction. GPT OSS 120B (Cerebras) is favored for Code generation, Document summarization. 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-4o (Azure) vs GPT OSS 120B (Cerebras)?
At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — GPT-4o (Azure) costs $0.007500 per request and GPT OSS 120B (Cerebras) costs $0.000725 per request. At 100,000 requests/month, that translates to $750.00 and $72.50 respectively. Use the interactive calculator to adjust these parameters for your actual workload.
GPT-4o (Azure) vs GPT OSS 120B (Cerebras): Summary
When comparing GPT-4o (Azure) 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 $750.00/month for GPT-4o (Azure).
Both models are priced in USD per million tokens, the standard unit across all major AI API providers. GPT-4o (Azure) charges $2.50/M for input tokens and $10.00/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.
Context window capacity differs between the two: Both models support 128,000 tokens per request. 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.
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Relevant Use Cases
See cost recommendations for workloads where GPT-4o (Azure) or GPT OSS 120B (Cerebras) is recommended.