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Gemini 2.0 Flash-Lite vs Llama 4 Scout (Fireworks): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Gemini 2.0 Flash-Lite (Google) and Llama 4 Scout (Fireworks) (Fireworks AI). 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 Flash-LiteFireworks AILlama 4 Scout (Fireworks)

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-Lite at $2.25/month.

Cheapest: Gemini 2.0 Flash-Lite at $2.25/mo — save 25.0% vs Llama 4 Scout (Fireworks)
Alert
BestGemini 2.0 Flash-Lite
Google$2.25$0.000225$0.75$1.5025.0%Alerts coming soon
Llama 4 Scout (Fireworks)
Fireworks AI$3.00$0.000300$2.00$1.00Alerts 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 TypeGemini 2.0 Flash-LiteLlama 4 Scout (Fireworks)Cheaper
Input (standard)$0.08/M$0.20/MGemini 2.0 Flash-Lite
Output$0.30/M$0.20/MLlama 4 Scout (Fireworks)
Cached inputN/A$0.10/M
Batch input$0.04/M$0.10/MGemini 2.0 Flash-Lite
Batch output$0.15/M$0.10/MLlama 4 Scout (Fireworks)

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 Flash-LiteMonthlyLlama 4 Scout (Fireworks)MonthlyGemini 2.0 Flash-LitePer requestLlama 4 Scout (Fireworks)Per request
1K requests/mo$0.22$0.30$0.000225$0.000300
10K requests/mo$2.25$3.00$0.000225$0.000300
100K requests/mo$22.50$30.00$0.000225$0.000300
1M requests/mo$225.00$300.00$0.000225$0.000300

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-Lite

by Google

  • Text classification
  • Data extraction

Input / 1M tokens

$0.08/M

Output / 1M tokens

$0.30/M

Context window

1,048,576

Tier

budget

When to Choose Llama 4 Scout (Fireworks)

by Fireworks AI

  • Customer support
  • RAG / Semantic search
  • General chatbot

Input / 1M tokens

$0.20/M

Output / 1M tokens

$0.20/M

Context window

10,000,000

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.

CapabilityGemini 2.0 Flash-LiteLlama 4 Scout (Fireworks)
Context window1,048,576 tokens10,000,000 tokens
Max output tokens8,192 tokens16,384 tokens
Performance tierBudgetBudget
Vision / image inputYesYes
Function callingYesYes
JSON modeYesYes
Prompt cachingNoYes
Batch API (50% discount)YesYes
Extended reasoningNoNo
Fine-tuningNoNo
Rate limit (req/min)4,000Not published

Gemini 2.0 Flash-Lite notes

Lowest cost Google model. No prompt caching support.

Llama 4 Scout (Fireworks) notes

Fireworks serverless pricing. Cached input 50% discount. Batch inference at 50% of serverless rates. 10M context window.

Frequently Asked Questions

Is Gemini 2.0 Flash-Lite cheaper than Llama 4 Scout (Fireworks)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Gemini 2.0 Flash-Lite costs $22.50/month versus $30.00/month for Llama 4 Scout (Fireworks) — a 25% 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-Lite or Llama 4 Scout (Fireworks)?

Llama 4 Scout (Fireworks) has a larger context window at 10,000,000 tokens, compared to 1,048,576 tokens for Gemini 2.0 Flash-Lite. A larger context window is important for processing long documents, multi-turn conversations, or large codebases without truncation.

Do Gemini 2.0 Flash-Lite and Llama 4 Scout (Fireworks) support the Batch API?

Yes — both Gemini 2.0 Flash-Lite and Llama 4 Scout (Fireworks) support batch API processing, which offers a 50% discount on input and output costs in exchange for up to 24-hour turnaround. Ideal for offline workloads like bulk document processing or nightly classification pipelines.

Which model offers better prompt caching?

Llama 4 Scout (Fireworks) supports prompt caching at $0.10/M for cached input, while Gemini 2.0 Flash-Lite does not offer prompt caching. For RAG applications or chatbots with large, repeated context, Llama 4 Scout (Fireworks)'s caching capability can substantially reduce effective costs.

What are the best use cases for Gemini 2.0 Flash-Lite vs Llama 4 Scout (Fireworks)?

Gemini 2.0 Flash-Lite is best suited for Text classification, Data extraction, while Llama 4 Scout (Fireworks) is optimized for Customer support, RAG / Semantic search, General chatbot. Choose based on which use case matches your primary workload — and validate with the cost calculator above to confirm the total monthly spend fits your budget.

What is the cost per request for Gemini 2.0 Flash-Lite vs Llama 4 Scout (Fireworks)?

At 1,000 input tokens and 500 output tokens per request — a typical conversational workload — Gemini 2.0 Flash-Lite costs $0.000225 per request and Llama 4 Scout (Fireworks) costs $0.000300 per request. At 100,000 requests/month, that translates to $22.50 and $30.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Gemini 2.0 Flash-Lite vs Llama 4 Scout (Fireworks): Summary

When comparing Gemini 2.0 Flash-Lite and Llama 4 Scout (Fireworks) for API cost, the right choice depends on your workload's token profile, required features, and tolerance for latency. Gemini 2.0 Flash-Lite offers lower total cost at standard usage volumes (1,000 input + 500 output tokens per request at 100,000 requests/month) at $22.50/month, compared to $30.00/month for Llama 4 Scout (Fireworks).

Both models are priced in USD per million tokens, the standard unit across all major AI API providers. Gemini 2.0 Flash-Lite charges $0.08/M for input tokens and $0.30/M for output tokens. Llama 4 Scout (Fireworks) charges $0.20/M input and $0.20/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.

Prompt caching is supported by Llama 4 Scout (Fireworks) but not Gemini 2.0 Flash-Lite. 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: Llama 4 Scout (Fireworks) supports up to 10,000,000 tokens in a single request, versus 1,048,576 tokens for Gemini 2.0 Flash-Lite. 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-Lite or Llama 4 Scout (Fireworks) is recommended.