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Qwen3.5 27B vs GPT 6 Luna Pro

At a glance

Dense 27B vision-language model with linear attention for fast response times.

262K ctx$0.20/$1.56 per M

OpenAI's GPT-6 Luna served in pro reasoning mode for the hardest problems.

1.1M ctx$0.10/$0.50 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
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Cheaper63%
Specs
262K
Context
66K
Max output
Feb 2026
Released
1.1M
Context
128K
Max output
Sep 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input$0.20/M tokens
Output$1.56/M tokens
Live pricing, shown before you run
Input49%$0.10/M tokens
Output68%$0.50/M tokens
Cache read$0.01/M tokens
Cache write$0.13/M tokens
Web search$0.01/search
Chat with Qwen3.5 27BGo to model
Chat with GPT 6 Luna ProGo to model
Frequently Asked Questions: Qwen3.5 27B vs GPT 6 Luna Pro▼

Which is better, Qwen3.5 27B or GPT 6 Luna Pro?

▼

Both Qwen3.5 27B and GPT 6 Luna Pro 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, Qwen3.5 27B or GPT 6 Luna Pro?

▼

GPT 6 Luna Pro has a lower blended cost. Qwen3.5 27B: $0.20 input / $1.56 output. GPT 6 Luna Pro: $0.10 input / $0.50 output.

Which has a larger context window, Qwen3.5 27B or GPT 6 Luna Pro?

▼

GPT 6 Luna Pro has a larger context window: Qwen3.5 27B supports 262K tokens vs GPT 6 Luna Pro at 1.1M tokens.

Do both Qwen3.5 27B and GPT 6 Luna Pro support vision?

▼

Yes, both Qwen3.5 27B and GPT 6 Luna Pro support vision/image input.

What are the key differences between Qwen3.5 27B and GPT 6 Luna Pro?

▼

Qwen3.5 27B and GPT 6 Luna Pro have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.

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 Qwen3.5 27B and GPT 6 Luna Pro for free on idapt.app to see which performs better for your specific needs.

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