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Gemini 2.5 Flash-Lite vs Llama 4 Maverick

Compare Google and Meta (via Together AI) AI models

Google
Gemini 2.5 Flash-Lite
vs
Meta (via Together AI)
Llama 4 Maverick

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Gemini 2.5 Flash-Lite

Per Request:$0.000300
Daily:$0.03
Monthly:$0.90
Yearly:$10.95

Llama 4 Maverick

Per Request:$0.000695
Daily:$0.0695
Monthly:$2.085
Yearly:$25.3675

Cost Differences

+$0.000395
Per Request
+$0.0395
Daily
+$1.185
Monthly
+$14.4175
Yearly

Llama 4 Maverick costs more than Gemini 2.5 Flash-Lite

Feature Comparison

FeatureGemini 2.5 Flash-LiteLlama 4 Maverick
ProviderGoogleMeta (via Together AI)
Input Price$0.10/1M tokens$0.27/1M tokens
Output Price$0.40/1M tokens$0.85/1M tokens
Context Window1,000,000 tokens1,000,000 tokens
Max Output32,768 tokens65,536 tokens
Categoryefficientflagship
Capabilities
textvisionaudio
textvisioncode
Release Date6/17/20254/5/2025

Gemini 2.5 Flash-Lite vs Llama 4 Maverick: Which Should You Choose?

Choosing between Gemini 2.5 Flash-Lite and Llama 4 Maverick depends on your priorities: cost efficiency, context length, or raw capability. Gemini 2.5 Flash-Lite is the more affordable option at $0.10/1M input tokens63% cheaper than Llama 4 Maverick.

These models come from different providers — Google and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Gemini 2.5 Flash-Lite is a efficient model while Llama 4 Maverick is flagship. This means they're optimized for different workloads. Llama 4 Maverick targets more demanding workloads, while Gemini 2.5 Flash-Lite provides a cost-effective option for everyday tasks.

Output costs matter too. Gemini 2.5 Flash-Lite charges $0.40/1M output tokens vs $0.85 for Llama 4 Maverick. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Gemini 2.5 Flash-Lite has the edge here at $0.40/1M output tokens.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose Gemini 2.5 Flash-Lite when:

  • • Budget is a primary concern
  • • You're already using Google's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose Llama 4 Maverick when:

  • • You need longer outputs (up to 65,536 tokens)
  • • You're already using Meta (via Together AI)'s API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Gemini 2.5 Flash-Lite (Google)

Llama 4 Maverick (Meta (via Together AI))

Start using Gemini 2.5 Flash-Lite today

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Start using Llama 4 Maverick today

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Frequently Asked Questions

Which is cheaper, Gemini 2.5 Flash-Lite or Llama 4 Maverick?
Gemini 2.5 Flash-Lite is cheaper for input tokens at $0.10 per million tokens vs $0.27 for Llama 4 Maverick — that's 63% savings on input costs.
What is the context window difference between Gemini 2.5 Flash-Lite and Llama 4 Maverick?
Gemini 2.5 Flash-Lite supports 1,000,000 tokens while Llama 4 Maverick supports 1,000,000 tokens — a difference of 0 tokens in favor of Gemini 2.5 Flash-Lite.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Gemini 2.5 Flash-Lite is the lower-cost option, while Gemini 2.5 Flash-Lite offers a larger context window (1,000,000 vs 1,000,000 tokens). Choose Gemini 2.5 Flash-Lite for budget sensitivity or Gemini 2.5 Flash-Lite for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Gemini 2.5 Flash-Lite costs about $0.90/month and Llama 4 Maverick costs about $2.085/month. Overall, Gemini 2.5 Flash-Lite has lower combined input + output rates ($0.10 in, $0.40 out) vs Llama 4 Maverick.

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