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Head to head

GPT-6 Luna vs Muse Spark 1.3.

Verdict by category, tale of the tape, shared benchmarks only, and cost at three workloads — all from the tracked data.

Verdict by category

CategoryGPT-6 LunaMuse Spark 1.3Winner
League Score55.151.7GPT-6 Luna
Coding (SWE-bench %)———
Reasoning (GPQA %)———
Context (tokens)10500001048576GPT-6 Luna
Speed (tok/s)———
Price (blended $/1M)$0.20$2.00GPT-6 Luna (cheaper)

Tale of the tape

SpecGPT-6 LunaMuse Spark 1.3
MakerOpenAIMeta
ReleasedSep 22, 2026Sep 2, 2026
League Score5552
Context1,050,000 tokens1,048,576 tokens
Max output128,000943,718
$/1M input$0.10$1.25
$/1M output$0.50$4.25
WeightsClosedClosed
Speed——

Head-to-head benchmarks (shared only)

BenchmarkGPT-6 LunaMuse Spark 1.3
LiveBench overall64.663.0

Cost at three workloads

WorkloadGPT-6 LunaMuse Spark 1.3
Light — 1M in / 250K out$0.23$2.31
Standard — 10M in / 2.5M out$2.25$23.12
Long-context — 50M in / 5M out$7.50$83.75

The pick

Pick GPT-6 Luna if you want the higher overall League Score; you need the bigger context window; you want the lower running cost.

All figures from the model database — sources and dates on each model page. Cost your own workload or compare a different pair.

Frequently asked questions

Which is better overall, GPT-6 Luna or Muse Spark 1.3?

GPT-6 Luna leads on overall League Score, 55 to 52 — a gap of 3 points on a composite of sourced benchmarks. That is overall form, not every category: check the per-category verdicts before choosing.

Which is cheaper, GPT-6 Luna or Muse Spark 1.3?

GPT-6 Luna is cheaper: $0.20 vs $2.00 blended per 1M tokens (3:1 input/output mix) — about 10.0x less per token.

Which has the bigger context window, GPT-6 Luna or Muse Spark 1.3?

GPT-6 Luna, with 1.1M of context against 1M for Muse Spark 1.3.

Are GPT-6 Luna and Muse Spark 1.3 open source?

GPT-6 Luna is closed weights — API access only; Muse Spark 1.3 is closed weights — API access only.