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GPT-5.6 Luna vs GPT-6 Luna

SpecGPT-5.6 LunaGPT-6 Luna
Respan Index48.8 (#37)49.2 (#36)
Blended price per 1M$0.225$0.1
Context window1.1M1.1M
Input / output per 1M$0.1 / $0.6$0.05 / $0.25
Max output128K128K
Inputtext, visiontext, vision
Released2026-07-092026-09-22

Respan Index by category

Each category is scored 0 to 100, and how far ahead the winner is. Leads under a point are close to even.

CategoryGPT-5.6 LunaGPT-6 Luna
Coding27.8 GPT-5.6 Luna29.6 GPT-6 Luna
Agents56.9 GPT-5.6 Luna61.2 GPT-6 Luna
Reasoning62.6 GPT-5.6 Luna57.2 GPT-6 Luna
Knowledge & language38.7 GPT-5.6 Luna38.9 GPT-6 Luna
Human preference53.8 GPT-5.6 Luna55.2 GPT-6 Luna

How the Respan Index works

Benchmarks both report

GPT-5.6 Luna leads on 12 of the 23 benchmarks both report. Higher is better. Each score links to where it was published.

BenchmarkGPT-5.6 LunaGPT-6 Luna
Chess Puzzles (Epoch AI)43%36%
LMArena Elo14531441
LMArena WebDev (LMArena)15191579
LMArena Vision (LMArena)12571240
LMArena Agent (LMArena)-0.00810.0223
APEX-Agents (Mercor)43%44.3%
FrontierMath Tier 4 v2 (Epoch AI)61%56.1%
FrontierMath Tiers 1-3 v2 (Epoch AI)82.1%78.9%
Furniture Assembly (Epoch AI)42.5%44.2%
GPQA Diamond92.3%90.5%
LiveBench Agentic Coding (LiveBench)48.4%51.2%
LiveBench Coding (LiveBench)82.9%79%
LiveBench Data Analysis (LiveBench)78%73.4%
LiveBench Instruction Following (LiveBench)60.1%55.9%
LiveBench Language (LiveBench)72.6%73.8%
LiveBench Mathematics (LiveBench)87.2%89.1%
LiveBench Reasoning (LiveBench)85.6%81.8%
Mystery Game Puzzles (Epoch AI)21%7%
OTIS Mock AIME 2024-2025 (Epoch AI)98.3%98.9%
SAGE (Vals AI)44.2%48.1%
SimpleQA Verified41%41.4%
Terminal-Bench 4.0 (Vals AI)11.6%13.6%
DeepSWE v1.167.2%66.6%

FAQ

Is GPT-5.6 Luna better than GPT-6 Luna?

GPT-6 Luna scores 49.2 on the Respan Index (#36), ahead of GPT-5.6 Luna at 48.8 (#37). GPT-5.6 Luna leads on 12 of the 23 benchmarks both report.

Which is cheaper, GPT-5.6 Luna or GPT-6 Luna?

GPT-5.6 Luna lists at $0.1 input and $0.6 output per 1M tokens; GPT-6 Luna at $0.05 and $0.25. GPT-6 Luna is 2.2x cheaper per token at list price.

Which has the larger context window?

Both accept 1.1M tokens of context.

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