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GPT-6 Luna Pro vs Qwen3 VL 30B A3B Thinking

GPT-6 Luna Pro costs 2.0x less per output token than Qwen3 VL 30B A3B Thinking ($0.50 vs $1.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-6 Luna Pro Replace Qwen3 VL 30B A3B Thinking
GPT-6 Luna ProOpenAI
Coding
No data
Overall
No data
Output $/M
$0.50
Qwen3 VL 30B A3B ThinkingQwen
Coding
No data
Overall
No data
Output $/M
$1.00
vs $0.50 vs $1.00 per 1M output tokens. GPT-6 Luna Pro is 2.0x cheaper.

GPT-6 Luna Pro or Qwen3 VL 30B A3B Thinking: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-6 Luna Pro for output tokens 2.0x cheaper ($0.50 vs $1.00 per million) and a larger context window (1.05M against 262K tokens).

Model AGPT-6 Luna ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BQwen3 VL 30B A3B ThinkingQwenNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-6 Luna Pro has none yet; Qwen3 VL 30B A3B Thinking on AA Intelligence Index. Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-6 Luna Pro not benchmarked, Qwen3 VL 30B A3B Thinking not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
GPT-6 Luna Pro $0.50 against Qwen3 VL 30B A3B Thinking $1.00 per million output tokens, 2.0x apart.
Context window
GPT-6 Luna Pro takes 1.05M tokens, Qwen3 VL 30B A3B Thinking 262K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for GPT-6 Luna Pro and Qwen3 VL 30B A3B Thinking
BenchmarkGPT-6 Luna ProQwen3 VL 30B A3B ThinkingLeader
AA Intelligence IndexNot measured9.5Only Qwen3 VL 30B A3B Thinking measured
Neither model has a result on the other 1 board here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-6 Luna Pro$0.0003Fits in one request
Qwen3 VL 30B A3B Thinking$0.0008Fits in one request

GPT-6 Luna Pro costs less

Repository review

50K input + 3K output tokens

GPT-6 Luna Pro$0.0065Fits in one request
Qwen3 VL 30B A3B Thinking$0.018Fits in one request

GPT-6 Luna Pro costs less

Agent loop

200K input + 10K output tokens

GPT-6 Luna Pro$0.025Fits in one request
Qwen3 VL 30B A3B Thinking$0.068Fits in one request

GPT-6 Luna Pro costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-6 Luna Pro and Qwen3 VL 30B A3B Thinking
SpecificationOpenAI GPT-6 Luna ProQwen3 VL 30B A3B Thinking
MakerOpenAIQwen
WeightsNo public weights listedOpen weights
ReleasedSeptember 22, 2026October 6, 2025
Context window1.05M262K
Input $/Mtok$0.10$0.29
Output $/Mtok$0.50$1.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-6 Luna Pro better than Qwen3 VL 30B A3B Thinking for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-6 Luna Pro for output tokens 2.0x cheaper ($0.50 vs $1.00 per million) and a larger context window (1.05M against 262K tokens).

Which is cheaper, GPT-6 Luna Pro or Qwen3 VL 30B A3B Thinking?

GPT-6 Luna Pro costs $0.10 per million input tokens and $0.50 per million output tokens; Qwen3 VL 30B A3B Thinking costs $0.29 and $1.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-6 Luna Pro or Qwen3 VL 30B A3B Thinking?

GPT-6 Luna Pro, with 1.05M tokens against 262K.

Has any benchmark tested both GPT-6 Luna Pro and Qwen3 VL 30B A3B Thinking?

No benchmark has tested both yet. GPT-6 Luna Pro has none yet; Qwen3 VL 30B A3B Thinking on AA Intelligence Index. Compare them on price and context instead. Data as of October 22, 2026.

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