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DeepSeek V4 Pro (High) vs GPT-5.6 Luna

Head-to-head comparison across 0benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

Benchmark data for one or both models is coming soon. This page currently shows metadata and pricing where BenchLM has it, and score-level comparisons will populate as public benchmark results land.

DeepSeek V4 Pro (High)

83

VS

GPT-5.6 Luna

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0 categoriesvs0 categories

Verified leaderboard positions: DeepSeek V4 Pro (High) #12 · GPT-5.6 Luna unranked

Benchmark data for DeepSeek V4 Pro (High) and GPT-5.6 Luna is coming soon on BenchLM.

Category Radar

Head-to-Head by Category

Operational Comparison

DeepSeek V4 Pro (High)

GPT-5.6 Luna

Price (per 1M tokens)

$1.74 / $3.48

$1 / $6

Speed

N/A

N/A

Latency (first answer)

N/A

N/A

Context Window

1M

1M

Quick Verdict

Benchmark data for DeepSeek V4 Pro (High) and GPT-5.6 Luna is coming soon on BenchLM.

BenchLM does not have sourced benchmark coverage for GPT-5.6 Luna yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GPT-5.6 Luna is priced at $1.00 input / $6.00 output per 1M tokens, versus $1.74 input / $3.48 output per 1M tokens for DeepSeek V4 Pro (High).

Benchmark Deep Dive

Frequently Asked Questions (3)

Can I compare DeepSeek V4 Pro (High) and GPT-5.6 Luna on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for DeepSeek V4 Pro (High) and GPT-5.6 Luna today?

DeepSeek V4 Pro (High): $1.74 input / $3.48 output per 1M tokens GPT-5.6 Luna: $1.00 input / $6.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: June 27, 2026

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