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Gemini Omni 1.1 Flash vs Llama 3.1 405B

Pricing verdict: Gemini Omni 1.1 Flash vs Llama 3.1 405B: Gemini Omni 1.1 Flash is cheaper for input-heavy usage ($1.50/M vs $3.50/M input tokens), while Gemini Omni 1.1 Flash is better for long-context tasks (1,048,576 tokens).

Direct answer: choose Gemini Omni 1.1 Flash for lower token spend and choose Gemini Omni 1.1 Flash when your workload needs longer context.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

Google
Gemini Omni 1.1 Flash
vs
Meta (via Together AI)
Llama 3.1 405B

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

Gemini Omni 1.1 Flash

Per Request:$0.01025
Daily:$1.025
Monthly:$30.75
Yearly:$374.125

Llama 3.1 405B

Per Request:$0.005250
Daily:$0.525
Monthly:$15.75
Yearly:$191.625

Cost Differences

$0.005000
Per Request
$0.50
Daily
$15.00
Monthly
$182.50
Yearly

Llama 3.1 405B costs less than Gemini Omni 1.1 Flash

Quick Recommendation

Winner for direct API pricing: Llama 3.1 405B. At the default workload, Llama 3.1 405B saves about $15.00/month ($182.50/year) versus Gemini Omni 1.1 Flash.

Feature Comparison

FeatureGemini Omni 1.1 FlashLlama 3.1 405B
ProviderGoogleMeta (via Together AI)
Input Price$1.50/1M tokens$3.50/1M tokens
Output Price$17.50/1M tokens$3.50/1M tokens
Context Window1,048,576 tokens128,000 tokens
Max Output57,920 tokens32,768 tokens
Categoryflagshipflagship
Capabilities
textvisionaudiovideo
textcodereasoning
Release Date8/27/20267/23/2024

Gemini Omni 1.1 Flash vs Llama 3.1 405B: Which Should You Choose?

Choosing between Gemini Omni 1.1 Flash and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. Gemini Omni 1.1 Flash is the more affordable option at $1.50/1M input tokens — 57% cheaper than Llama 3.1 405B. Meanwhile, Gemini Omni 1.1 Flash offers a significantly larger context window at 1,048,576 tokens vs 128,000 for Llama 3.1 405B.

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.

Both models are in the flagship category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Llama 3.1 405B would save you roughly $1,500.00/month compared to Gemini Omni 1.1 Flash. For startups and indie developers, that difference can be significant.

Output costs matter too. Gemini Omni 1.1 Flash charges $17.50/1M output tokens vs $3.50 for Llama 3.1 405B. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Llama 3.1 405B has the edge here at $3.50/1M output tokens.

Multimodal capabilities: Gemini Omni 1.1 Flash supports vision (image inputs) while Llama 3.1 405B is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Gemini Omni 1.1 Flash when:

  • • Budget is a primary concern
  • • You need a larger context window (1,048,576 tokens)
  • • You need more capabilities (vision, audio, video)
  • • You need longer outputs (up to 57,920 tokens)
  • • You're already using Google's API ecosystem

Choose Llama 3.1 405B when:

  • • You're already using Meta (via Together AI)'s API ecosystem

Pros and Caveats at a Glance

Gemini Omni 1.1 Flash

  • Input pricing: $1.50/M tokens
  • Output pricing: $17.50/M tokens
  • Context window: 1,048,576 tokens
  • Max output: 57,920 tokens

Watch out for

  • Higher output cost than Llama 3.1 405B

Llama 3.1 405B

  • Input pricing: $3.50/M tokens
  • Output pricing: $3.50/M tokens
  • Context window: 128,000 tokens
  • Max output: 32,768 tokens

Watch out for

  • Higher input cost than Gemini Omni 1.1 Flash
  • Smaller context window than Gemini Omni 1.1 Flash

Try Different Scenarios

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

Gemini Omni 1.1 Flash (Google)

Llama 3.1 405B (Meta (via Together AI))

Start using Gemini Omni 1.1 Flash today

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Start using Llama 3.1 405B today

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Frequently Asked Questions

Which is cheaper, Gemini Omni 1.1 Flash or Llama 3.1 405B?
Gemini Omni 1.1 Flash is cheaper for input tokens at $1.50 per million tokens vs $3.50 for Llama 3.1 405B — that's 57% savings on input costs.
What is the context window difference between Gemini Omni 1.1 Flash and Llama 3.1 405B?
Gemini Omni 1.1 Flash supports 1,048,576 tokens while Llama 3.1 405B supports 128,000 tokens — a difference of 920,576 tokens in favor of Gemini Omni 1.1 Flash.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Llama 3.1 405B is the lower-cost option, while Gemini Omni 1.1 Flash offers a larger context window (1,048,576 vs 128,000 tokens). Choose Llama 3.1 405B for budget sensitivity or Gemini Omni 1.1 Flash 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 Omni 1.1 Flash costs about $30.75/month and Llama 3.1 405B costs about $15.75/month. Overall, Llama 3.1 405B has lower combined input + output rates ($3.50 in, $3.50 out) vs Gemini Omni 1.1 Flash.
Where can I compare Google and Meta (via Together AI) API pricing beyond this model matchup?
See the Google vs Meta (via Together AI) provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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