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Llama 3.3 70B vs Gemini 3.8 Flash

At a glance

Meta's efficient 70B model matching Llama 3.1 405B on key benchmarks.

61131K ctx$0.10/$0.32 per M#68/92

Google's most intelligent Flash model, with significant gains over 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

1.0M ctx$0.83/$4.13 per M
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-10-02
Cheaper91%
Capability
CapabilityECI61.4
Reasoning & Knowledge
Graduate Science47.4%Factual Recall—
Math
Math Problems41.6%Competition Math5.1%
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch AI·OpenRouter· as of 2026-10-02
Capability
Capability—
Reasoning & Knowledge
Graduate Science101%95.4%Factual Recall69.7%
Math
Math Problems—Competition Math1824%98.9%
Specs
131K
Context
16K
Max output
Dec 2024
Released
1.0M
Context
66K
Max output
Sep 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input88%$0.10/M tokens
Output92%$0.32/M tokens
Live pricing, shown before you run
Input$0.83/M tokens
Output$4.13/M tokens
Reasoning$4.13/M tokens
Cache read$0.08/M tokens
Cache write$0.04/M tokens
Image input$0.83/M tokens
Audio input$0.83/M tokens
Web search$0.01/search
Chat with Llama 3.3 70BGo to model
Chat with Gemini 3.8 FlashGo to model
Frequently Asked Questions: Llama 3.3 70B vs Gemini 3.8 Flash▼

Which is better, Llama 3.3 70B or Gemini 3.8 Flash?

▼

Both Llama 3.3 70B and Gemini 3.8 Flash are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Llama 3.3 70B or Gemini 3.8 Flash?

▼

Llama 3.3 70B has a lower blended cost. Llama 3.3 70B: $0.10 input / $0.32 output. Gemini 3.8 Flash: $0.83 input / $4.13 output.

Which has a larger context window, Llama 3.3 70B or Gemini 3.8 Flash?

▼

Gemini 3.8 Flash has a larger context window: Llama 3.3 70B supports 131K tokens vs Gemini 3.8 Flash at 1M tokens.

Do both Llama 3.3 70B and Gemini 3.8 Flash support vision?

▼

Gemini 3.8 Flash supports vision/image input, but Llama 3.3 70B does not.

What are the key differences between Llama 3.3 70B and Gemini 3.8 Flash?

▼

Key differences: Llama 3.3 70B is significantly cheaper; only Gemini 3.8 Flash supports vision input; only Gemini 3.8 Flash offers extended reasoning mode. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Llama 3.3 70B and Gemini 3.8 Flash for free on idapt.app to see which performs better for your specific needs.

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