Data verified: Oct 27, 2026, 9:28 AM UTC · Prices sourced from official provider pages. Verify current rates before production use.

GPT-6 Luna Pro vs Qwen3.5-122B-A10B

Price, context and performance head to head. Data synced from the provider catalog.

Quick verdict

Cheaper

GPT-6 Luna Pro

Larger context

GPT-6 Luna Pro

Faster

Qwen3.5-122B-A10B

Higher quality

GPT-6 Luna Pro

Head-to-head

Head-to-head
Feature	GPT-6 Luna Pro	Qwen3.5-122B-A10B
Provider	OpenAI	Qwen
Tier	Flagship	Mid-tier
Input per 1M tokens	$0.1	$0.26
Output per 1M tokens	$0.5	$2.08
Cached input per 1M	$0.01	$0.26
Context window	1.1M	262.1K
Intelligence index	—	18/100
Coding index	—	43/100
Agentic index	—	—
GPQA Diamond	0.88	0.83
Tau-bench (airline)	0.67	0.77
Speed	Slow	Standard
Vision (image input)	Yes	Yes
Function calling	Yes	Yes
Batch API	No	No

Estimated monthly cost

Enter how many requests per day you send with an average prompt (1K input + 1K output) and compare the monthly cost of both models.

Requests per day

GPT-6 Luna Pro

$1.8

/ mo

Qwen3.5-122B-A10B

$7.02

/ mo

GPT-6 Luna Pro saves $5.22/mo vs Qwen3.5-122B-A10B

Which one should I pick?

Pick GPT-6 Luna Pro if cost is the priority: it's 74% cheaper than Qwen3.5-122B-A10B on an average prompt.
Pick GPT-6 Luna Pro if you need to process long documents: its context window is 4× larger.
Pick GPT-6 Luna Pro if answer quality is the priority: it's better positioned for your use case.
Pick Qwen3.5-122B-A10B if latency matters: it's noticeably faster.

Want us to build it for you?

We integrate GPT-6 Luna Pro or Qwen3.5-122B-A10B into your product with caching, observability and continuous evaluation — typically 40-80% cheaper than the obvious first pick.

Talk to an expert

Related comparisons

Other combinations developers frequently compare in 2026.

GPT-6 LunavsQwen3.5-122B-A10B

GPT-5.6 Luna ProvsQwen3.5-122B-A10B

GPT-5.6 LunavsQwen3.5-122B-A10B

GPT-6.1 Terra ProvsQwen3.5-122B-A10B

GPT-6.1 TerravsQwen3.5-122B-A10B

GPT-6.1 Sol ProvsQwen3.5-122B-A10B

Frequently asked questions about AI models and pricing

What people ask us when comparing GPT, Claude, Gemini and the rest.

A token is the unit an AI model processes: usually between half a word and a full word. Rule of thumb: 1,000 tokens ≈ 750 English words. A 20-word sentence is about 26 tokens; a 300-word email is around 400. Models charge for input tokens (your prompt) and output tokens (their answer) separately.

When your app sends the same system prompt on every request (e.g. "You are a customer support agent for Acme…"), providers store it once and reuse the computation. They only charge full price for the new part (the user's question). OpenAI, Anthropic and Google give 50% to 90% off cached tokens. The calculator above accounts for this via a cache-hit % slider.

Chatbot: GPT-5.4 Mini or Claude Haiku 4.5 for latency; DeepSeek V3.2 for cost. Code: Claude Opus 4.6 and GPT-5.4 still lead the benchmarks, with o3 and DeepSeek R1 for hard reasoning. Document analysis: you need a large window — Gemini 3.1 Pro, Claude Opus or Llama 4 Maverick. Use the Model Finder above for a personalised pick.

Five levers: (1) cache system prompts (saves 50-90%), (2) batch API for non-urgent requests (50% off), (3) smaller model for simple tasks and flagship only when needed (complexity router), (4) trim prompts and cap output tokens, (5) fine-tune or use RAG instead of re-sending the same context every call. At Letbrand we audit each lever and typically cut costs by 40-80%.

GPT-6 Luna Pro vs Qwen3.5-122B-A10B

Price, context and performance head to head. Data synced from the provider catalog.

Quick verdict

Cheaper

GPT-6 Luna Pro

Larger context

GPT-6 Luna Pro

Faster

Qwen3.5-122B-A10B

Higher quality

GPT-6 Luna Pro

Head-to-head

Head-to-head
Feature	GPT-6 Luna Pro	Qwen3.5-122B-A10B
Provider	OpenAI	Qwen
Tier	Flagship	Mid-tier
Input per 1M tokens	$0.1	$0.26
Output per 1M tokens	$0.5	$2.08
Cached input per 1M	$0.01	$0.26
Context window	1.1M	262.1K
Intelligence index	—	18/100
Coding index	—	43/100
Agentic index	—	—
GPQA Diamond	0.88	0.83
Tau-bench (airline)	0.67	0.77
Speed	Slow	Standard
Vision (image input)	Yes	Yes
Function calling	Yes	Yes
Batch API	No	No

Estimated monthly cost

Enter how many requests per day you send with an average prompt (1K input + 1K output) and compare the monthly cost of both models.

Requests per day

GPT-6 Luna Pro

$1.8

/ mo

Qwen3.5-122B-A10B

$7.02

/ mo

GPT-6 Luna Pro saves $5.22/mo vs Qwen3.5-122B-A10B

Which one should I pick?

Pick GPT-6 Luna Pro if cost is the priority: it's 74% cheaper than Qwen3.5-122B-A10B on an average prompt.
Pick GPT-6 Luna Pro if you need to process long documents: its context window is 4× larger.
Pick GPT-6 Luna Pro if answer quality is the priority: it's better positioned for your use case.
Pick Qwen3.5-122B-A10B if latency matters: it's noticeably faster.

Want us to build it for you?

We integrate GPT-6 Luna Pro or Qwen3.5-122B-A10B into your product with caching, observability and continuous evaluation — typically 40-80% cheaper than the obvious first pick.

Talk to an expert