gpt 6 luna vs sol comparison: GPT-6 Luna vs GPT-6 Sol

gpt 6 luna vs sol comparison

This article covers what the tools do, how they compare, and where to start on Pixwit without leaving this page for a second landing.

Author: Pixwit Team · Date: October 15, 2026

GPT-6 Luna vs GPT-6 Sol

GPT-6 Luna and GPT-6 Sol are closely matched at 43.5 and 48.2 on the LLM Stats Score. GPT-6 Luna is 20.0x cheaper per token. OpenAI · OpenAI · Updated for 2026

Which is better?

GPT-6 Luna and GPT-6 Sol are closely matched on the overall LLM Stats Score at 43.5 and 48.2. In the 5 individual benchmarks reported for both models, GPT-6 Sol wins 5; this is a narrower head-to-head signal than the composite indexes. On price, GPT-6 Luna is roughly 20.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume. Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6 Luna

• cost matters - it's about 20.0x cheaper per token

Choose GPT-6 Sol

• you value its reported benchmark strengths - it wins 5 of 5 exact shared results

At a glance

The differences that matter most. [GPT-6 LunaOpenAI]( [GPT-6 SolOpenAI](

Capability indexes

Additional strengths measured across groups of related public benchmarks [How scores work](

Individual benchmarks

5 reported for GPT-6 Luna · 5 for GPT-6 Sol GPT-6 Luna outperforms in 0 benchmarks, while GPT-6 Sol is better at 5 benchmarks (Agents' Last Exam, AutomationBench v1.0.6, DeepSWE 1.1, FrontierCode 1.1, OSWorld 2.0). GPT-6 Sol significantly outperforms across most benchmarks.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens For input processing, GPT-6 Luna ($0.10/1M tokens) is 20.0x cheaper than GPT-6 Sol ($2.00/1M tokens). For output processing, GPT-6 Luna ($0.50/1M tokens) is 20.0x cheaper than GPT-6 Sol ($10.00/1M tokens). In conclusion, GPT-6 Sol is more expensive than GPT-6 Luna.* * Using a 3:1 ratio of input to output tokens

Context Window

Maximum input and output token capacity Both models have the same input context window of 1,050,000 tokens. Both models can generate responses up to 128,000 tokens.

Input capabilities

Documented input modalities across available providers Both GPT-6 Luna and GPT-6 Sol support multimodal inputs. They are both capable of processing various types of data, offering versatility in application.

GPT-6 Luna

GPT-6 Sol

License

Usage and distribution terms Both models are licensed under proprietary licenses. Both models have usage restrictions defined by their respective organizations. Proprietary Closed source Proprietary Closed source

Release Timeline

When each model was launched Both models were released on 2026-09-22. They likely represent similar generations of model development. Sep 22, 2026 3 weeks ago Sep 22, 2026 3 weeks ago

Knowledge Cutoff

When training data ends GPT-6 Luna has a knowledge cutoff of 2026-05-18, while GPT-6 Sol has a cutoff of 2026-04-20. GPT-6 Luna has more recent training data (up to 2026-05-18), making it potentially better informed about events through that date compared to GPT-6 Sol (2026-04-20). May 2026 1 mo newer Apr 2026

Provider Availability

GPT-6 Luna is available from OpenAI. GPT-6 Sol is available from OpenAI.

GPT-6 Luna

GPT-6 Sol

Outputs Comparison

Judge for yourself.

Run your own prompts against GPT-6 Luna and GPT-6 Sol side-by-side, then vote on the output you prefer. [Open in Playground](

FAQ

Common questions about GPT-6 Luna vs GPT-6 Sol.

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