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Qwen3 14B vs GPT 5.6 Luna

At a glance

Mid-size dense Qwen3 model balancing capability and efficiency.

41K ctx$0.12/$0.24 per M

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

1.1M ctx$1.00/$6.00 per M
Agent Demos
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No shared agent demos for these models yet.

AI Output
All AI outputs

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Benchmarks
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Reasoning
CodingInsufficient data
MathInsufficient data
Sources:Provider·OpenRouter· as of 2026-07-11
Reasoning & Knowledge
Graduate Science92.3%
Agentic
Terminal Tasks84.7%
Specs
41K
Context
16K
Max output
Apr 2025
Released
1.1M
Context
128K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input88%$0.12/M tokens
Output96%$0.24/M tokens
Live pricing, shown before you run
Input$1.00/M tokens
Output$6.00/M tokens
Cache read$0.10/M tokens
Cache write$1.25/M tokens
Web search$0.01/search
Chat with Qwen3 14BGo to model
Chat with GPT 5.6 LunaGo to model
Frequently Asked Questions: Qwen3 14B vs GPT 5.6 Luna▼

Which is better, Qwen3 14B or GPT 5.6 Luna?

▼

Both Qwen3 14B and GPT 5.6 Luna 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, Qwen3 14B or GPT 5.6 Luna?

▼

Qwen3 14B has a lower blended cost. Qwen3 14B: $0.12 input / $0.24 output. GPT 5.6 Luna: $1.00 input / $6.00 output.

Which has a larger context window, Qwen3 14B or GPT 5.6 Luna?

▼

GPT 5.6 Luna has a larger context window: Qwen3 14B supports 41K tokens vs GPT 5.6 Luna at 1.1M tokens.

Do both Qwen3 14B and GPT 5.6 Luna support vision?

▼

GPT 5.6 Luna supports vision/image input, but Qwen3 14B does not.

What are the key differences between Qwen3 14B and GPT 5.6 Luna?

▼

Key differences: Qwen3 14B is significantly cheaper; only GPT 5.6 Luna supports vision input. 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 Qwen3 14B and GPT 5.6 Luna for free on idapt.app to see which performs better for your specific needs.

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