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Gemini 3.8 Live Extended Thinking vs Llama 3.1 405B

Pricing verdict: Gemini 3.8 Live Extended Thinking vs Llama 3.1 405B: Gemini 3.8 Live Extended Thinking is cheaper for input-heavy usage ($0.75/M vs $3.50/M input tokens), while Gemini 3.8 Live Extended Thinking is better for long-context tasks (131,072 tokens).

Direct answer: choose Gemini 3.8 Live Extended Thinking for lower token spend and choose Gemini 3.8 Live Extended Thinking 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 3.8 Live Extended Thinking
vs
Meta (via Together AI)
Llama 3.1 405B

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

Gemini 3.8 Live Extended Thinking

Per Request:$0.003000
Daily:$0.30
Monthly:$9.00
Yearly:$109.50

Llama 3.1 405B

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

Cost Differences

+$0.002250
Per Request
+$0.225
Daily
+$6.75
Monthly
+$82.125
Yearly

Llama 3.1 405B costs more than Gemini 3.8 Live Extended Thinking

Quick Recommendation

Winner for direct API pricing: Gemini 3.8 Live Extended Thinking. At the default workload, Gemini 3.8 Live Extended Thinking saves about $6.75/month ($82.125/year) versus Llama 3.1 405B.

Feature Comparison

FeatureGemini 3.8 Live Extended ThinkingLlama 3.1 405B
ProviderGoogleMeta (via Together AI)
Input Price$0.75/1M tokens$3.50/1M tokens
Output Price$4.50/1M tokens$3.50/1M tokens
Context Window131,072 tokens128,000 tokens
Max Output65,536 tokens32,768 tokens
Categoryreasoningflagship
Capabilities
textvisionaudiovideoreasoningstreaming
textcodereasoning
Release Date9/15/20267/23/2024

Gemini 3.8 Live Extended Thinking vs Llama 3.1 405B: Which Should You Choose?

Choosing between Gemini 3.8 Live Extended Thinking and Llama 3.1 405B depends on your priorities: cost efficiency, context length, or raw capability. Gemini 3.8 Live Extended Thinking is the more affordable option at $0.75/1M input tokens — 79% cheaper than Llama 3.1 405B. Meanwhile, Gemini 3.8 Live Extended Thinking offers a significantly larger context window at 131,072 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.

These models target different tiers: Gemini 3.8 Live Extended Thinking is a reasoning model while Llama 3.1 405B is flagship. This means they're optimized for different workloads. Gemini 3.8 Live Extended Thinking is built for complex tasks that require deeper reasoning, while Llama 3.1 405B offers better value for routine operations.

Output costs matter too. Gemini 3.8 Live Extended Thinking charges $4.50/1M 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 3.8 Live Extended Thinking 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 3.8 Live Extended Thinking when:

  • • Budget is a primary concern
  • • You need a larger context window (131,072 tokens)
  • • You need more capabilities (vision, audio, video, streaming)
  • • You need longer outputs (up to 65,536 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 3.8 Live Extended Thinking

  • Input pricing: $0.75/M tokens
  • Output pricing: $4.50/M tokens
  • Context window: 131,072 tokens
  • Max output: 65,536 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 3.8 Live Extended Thinking
  • Smaller context window than Gemini 3.8 Live Extended Thinking

Try Different Scenarios

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

Gemini 3.8 Live Extended Thinking (Google)

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

Start using Gemini 3.8 Live Extended Thinking today

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Start using Llama 3.1 405B today

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Frequently Asked Questions

Which is cheaper, Gemini 3.8 Live Extended Thinking or Llama 3.1 405B?
Gemini 3.8 Live Extended Thinking is cheaper for input tokens at $0.75 per million tokens vs $3.50 for Llama 3.1 405B — that's 79% savings on input costs.
What is the context window difference between Gemini 3.8 Live Extended Thinking and Llama 3.1 405B?
Gemini 3.8 Live Extended Thinking supports 131,072 tokens while Llama 3.1 405B supports 128,000 tokens — a difference of 3,072 tokens in favor of Gemini 3.8 Live Extended Thinking.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Gemini 3.8 Live Extended Thinking is the lower-cost option, while Gemini 3.8 Live Extended Thinking offers a larger context window (131,072 vs 128,000 tokens). Choose Gemini 3.8 Live Extended Thinking for budget sensitivity or Gemini 3.8 Live Extended Thinking 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 3.8 Live Extended Thinking costs about $9.00/month and Llama 3.1 405B costs about $15.75/month. Overall, Gemini 3.8 Live Extended Thinking has lower combined input + output rates ($0.75 in, $4.50 out) vs Llama 3.1 405B.
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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