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GPT 5.6 Luna vs Llama 3.3 70B

At a glance
OpenAIGPT 5.6 Luna

OpenAI's fastest, most affordable GPT-5.6 tier for high-volume, latency-sensitive work.

1.1M ctx$1.00/$6.00 per M
MetaLlama 3.3 70B

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

61131K ctx$0.10/$0.32 per M#68/92
AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
OpenAIGPT 5.6 Luna
Reasoning
CodingInsufficient data
MathInsufficient data
Sources:Provider·OpenRouter· as of 2026-07-11
Capability
Capability—
Reasoning & Knowledge
Graduate Science92.3%
Math
Math Problems—Competition Math—
Agentic
Terminal Tasks84.7%
MetaLlama 3.3 70B
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch ECI·Epoch AI·OpenRouter· as of 2026-07-10
Cheaper
Capability
CapabilityECI61.4
Reasoning & Knowledge
Graduate Science47.4%
Math
Math Problems41.6%Competition Math5.1%
Agentic
Terminal Tasks—
Specs
OpenAIGPT 5.6 Luna
1.1M
Context
128K
Max output
Jul 2026
Released
MetaLlama 3.3 70B
131K
Context
16K
Max output
Dec 2024
Released
Capabilities
OpenAIGPT 5.6 Luna
Vision
Audio
Reasoning
MetaLlama 3.3 70B
Vision
Audio
Reasoning
Pricing
OpenAIGPT 5.6 Luna
Live pricing, shown before you run
Input$1.00/M tokens
Output$6.00/M tokens
Cache read$0.10/M tokens
Web search$0.01/search
MetaLlama 3.3 70B
Live pricing, shown before you run
Input$0.10/M tokens
Output$0.32/M tokens
Chat with GPT 5.6 LunaGo to model
Chat with Llama 3.3 70BGo to model
Frequently Asked Questions: GPT 5.6 Luna vs Llama 3.3 70B▼

Which is better, GPT 5.6 Luna or Llama 3.3 70B?

▼

Both GPT 5.6 Luna and Llama 3.3 70B 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, GPT 5.6 Luna or Llama 3.3 70B?

▼

Llama 3.3 70B has a lower blended cost. GPT 5.6 Luna: $1.00 input / $6.00 output. Llama 3.3 70B: $0.10 input / $0.32 output.

Which has a larger context window, GPT 5.6 Luna or Llama 3.3 70B?

▼

GPT 5.6 Luna has a larger context window: GPT 5.6 Luna supports 1.1M tokens vs Llama 3.3 70B at 131K tokens.

Do both GPT 5.6 Luna and Llama 3.3 70B support vision?

▼

GPT 5.6 Luna supports vision/image input, but Llama 3.3 70B does not.

What are the key differences between GPT 5.6 Luna and Llama 3.3 70B?

▼

Key differences: Llama 3.3 70B is significantly cheaper; only GPT 5.6 Luna supports vision input; only GPT 5.6 Luna 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 GPT 5.6 Luna and Llama 3.3 70B for free on idapt.app to see which performs better for your specific needs.

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