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Gemini 2.0 Flash-Lite vs Llama 3.1 8B (Together AI): API Cost Comparison

Compare the API pricing, context windows, features, and real-world cost projections for Gemini 2.0 Flash-Lite (Google) and Llama 3.1 8B (Together AI) (Together 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-LiteTogether AILlama 3.1 8B (Together AI)

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 16.7% vs Llama 3.1 8B (Together AI)
Alert
BestGemini 2.0 Flash-Lite
Google$2.25$0.000225$0.75$1.5016.7%Alerts coming soon
Llama 3.1 8B (Together AI)
Together AI$2.70$0.000270$1.80$0.90Alerts 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 3.1 8B (Together AI)Cheaper
Input (standard)$0.08/M$0.18/MGemini 2.0 Flash-Lite
Output$0.30/M$0.18/MLlama 3.1 8B (Together AI)
Batch input$0.04/MN/A
Batch output$0.15/MN/A

Prices last verified: 2026-03-06 – 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 3.1 8B (Together AI)MonthlyGemini 2.0 Flash-LitePer requestLlama 3.1 8B (Together AI)Per request
1K requests/mo$0.22$0.27$0.000225$0.000270
10K requests/mo$2.25$2.70$0.000225$0.000270
100K requests/mo$22.50$27.00$0.000225$0.000270
1M requests/mo$225.00$270.00$0.000225$0.000270

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 3.1 8B (Together AI)

by Together AI

  • Text classification
  • Customer support
  • General chatbot

Input / 1M tokens

$0.18/M

Output / 1M tokens

$0.18/M

Context window

131,072

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 3.1 8B (Together AI)
Context window1,048,576 tokens131,072 tokens
Max output tokens8,192 tokens4,096 tokens
Performance tierBudgetBudget
Vision / image inputYesNo
Function callingYesYes
JSON modeYesYes
Prompt cachingNoNo
Batch API (50% discount)YesNo
Extended reasoningNoNo
Fine-tuningNoYes
Rate limit (req/min)4,000Not published

Gemini 2.0 Flash-Lite notes

Lowest cost Google model. No prompt caching support.

Llama 3.1 8B (Together AI) notes

Most affordable Together AI option. Supports fine-tuning on custom data.

Frequently Asked Questions

Is Gemini 2.0 Flash-Lite cheaper than Llama 3.1 8B (Together AI)?

At standard usage (1,000 input tokens, 500 output tokens, 100,000 requests/month), Gemini 2.0 Flash-Lite costs $22.50/month versus $27.00/month for Llama 3.1 8B (Together AI) — a 17% 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 3.1 8B (Together AI)?

Gemini 2.0 Flash-Lite has a larger context window at 1,048,576 tokens, compared to 131,072 tokens for Llama 3.1 8B (Together AI). 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 3.1 8B (Together AI) support the Batch API?

Gemini 2.0 Flash-Lite supports the Batch API (50% discount for async processing), while Llama 3.1 8B (Together AI) does not. If your workload tolerates up to 24-hour latency, routing to Gemini 2.0 Flash-Lite with batch pricing could significantly cut costs versus Llama 3.1 8B (Together AI)'s standard rate.

Which model offers better prompt caching?

Neither Gemini 2.0 Flash-Lite nor Llama 3.1 8B (Together AI) 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 Gemini 2.0 Flash-Lite vs Llama 3.1 8B (Together AI)?

Both models are well-suited for Text classification. Gemini 2.0 Flash-Lite is particularly strong for Data extraction. Llama 3.1 8B (Together AI) is favored for Customer support, 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 Gemini 2.0 Flash-Lite vs Llama 3.1 8B (Together AI)?

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 3.1 8B (Together AI) costs $0.000270 per request. At 100,000 requests/month, that translates to $22.50 and $27.00 respectively. Use the interactive calculator to adjust these parameters for your actual workload.

Gemini 2.0 Flash-Lite vs Llama 3.1 8B (Together AI): Summary

When comparing Gemini 2.0 Flash-Lite and Llama 3.1 8B (Together AI) 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 $27.00/month for Llama 3.1 8B (Together AI).

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 3.1 8B (Together AI) charges $0.18/M input and $0.18/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: Gemini 2.0 Flash-Lite supports up to 1,048,576 tokens in a single request, versus 131,072 tokens for Llama 3.1 8B (Together AI). 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 3.1 8B (Together AI) is recommended.