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Gemini 2.0 Flash vs GPT OSS 120B (Cerebras): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Gemini 2.0 Flash (Google) 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 24, 2026

Interactive Cost Calculator

GoogleGemini 2.0 FlashCerebrasGPT OSS 120B (Cerebras)

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: Gemini 2.0 Flash at $3.00/month.

Cheapest: Gemini 2.0 Flash at $3.00/mo — save 58.6% vs GPT OSS 120B (Cerebras)
Alert
BestGemini 2.0 Flash
Google$3.00$0.000300$1.00$2.0058.6%Alerts coming soon
GPT OSS 120B (Cerebras)
Cerebras$7.25$0.000725$3.50$3.75Alerts 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 TypeGemini 2.0 FlashGPT OSS 120B (Cerebras)Cheaper
Input (standard)$0.10/M$0.35/MGemini 2.0 Flash
Output$0.40/M$0.75/MGemini 2.0 Flash
Cached input$0.03/MN/A
Batch input$0.05/MN/A
Batch output$0.20/MN/A

Prices last verified: 2026-03-10 – 2026-03-24

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.

VolumeGemini 2.0 FlashMonthlyGPT OSS 120B (Cerebras)MonthlyGemini 2.0 FlashPer requestGPT OSS 120B (Cerebras)Per request
1K requests/mo$0.30$0.72$0.000300$0.000725
10K requests/mo$3.00$7.25$0.000300$0.000725
100K requests/mo$30.00$72.50$0.000300$0.000725
1M requests/mo$300.00$725.00$0.000300$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 Gemini 2.0 Flash

by Google

  • General chatbot
  • Customer support
  • Text classification

Input / 1M tokens

$0.10/M

Output / 1M tokens

$0.40/M

Context window

1,048,576

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.

CapabilityGemini 2.0 FlashGPT OSS 120B (Cerebras)
Context window1,048,576 tokens128,000 tokens
Max output tokens8,192 tokens16,384 tokens
Performance tierMidMid
Vision / image inputYesNo
Function callingYesYes
JSON modeYesYes
Prompt cachingYesNo
Batch API (50% discount)YesNo
Extended reasoningNoNo
Fine-tuningNoNo
Rate limit (req/min)4,000Not published

Gemini 2.0 Flash notes

Supports real-time streaming, image generation, and native audio I/O.

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 Gemini 2.0 Flash cheaper than GPT OSS 120B (Cerebras)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Gemini 2.0 Flash costs $30.00/month versus $72.50/month for GPT OSS 120B (Cerebras) — a 59% 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, Gemini 2.0 Flash or GPT OSS 120B (Cerebras)?

Gemini 2.0 Flash has a larger context window at 1,048,576 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 Gemini 2.0 Flash and GPT OSS 120B (Cerebras) support the Batch API?

Gemini 2.0 Flash supports the Batch API (50% discount for async processing), while GPT OSS 120B (Cerebras) does not. If your workload tolerates up to 24-hour latency, routing to Gemini 2.0 Flash with batch pricing could significantly cut costs versus GPT OSS 120B (Cerebras)'s standard rate.

Which model offers better prompt caching?

Gemini 2.0 Flash supports prompt caching at $0.03/M for cached input, while GPT OSS 120B (Cerebras) does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Gemini 2.0 Flash's caching capability can substantially reduce effective costs.

What are the best use cases for Gemini 2.0 Flash vs GPT OSS 120B (Cerebras)?

Both models are well-suited for General chatbot. Gemini 2.0 Flash is particularly strong for Customer support, Text classification. 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 Gemini 2.0 Flash vs GPT OSS 120B (Cerebras)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Gemini 2.0 Flash costs $0.000300 per request and GPT OSS 120B (Cerebras) costs $0.000725 per request. At 100,000 requests/month, that translates to $30.00 and $72.50 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Gemini 2.0 Flash vs GPT OSS 120B (Cerebras): Summary

When comparing Gemini 2.0 Flash and GPT OSS 120B (Cerebras) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Gemini 2.0 Flash offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $30.00/month, compared to $72.50/month for GPT OSS 120B (Cerebras).

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Gemini 2.0 Flash charges $0.10/M for input tokens and $0.40/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 Gemini 2.0 Flash 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: Gemini 2.0 Flash supports up to 1,048,576 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

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

Relevant Use Cases

See cost recommendations for workloads where Gemini 2.0 Flash or GPT OSS 120B (Cerebras) is recommended.