AI model comparison
GPT-6 Luna vs Muse Spark 1.3 Contributor
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
GPT-6 Luna
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.
- Input / 1M
- $0.10
- Output / 1M
- $0.50
- Context
- 1.05M
Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows.
- Input / 1M
- $0.10
- Output / 1M
- $0.20
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Muse Spark 1.3 Contributor
1.5x cheaper for a typical chat
Higher intelligence score
Tie
Not enough benchmark data
Larger context window
GPT-6 Luna
1.05M vs 1.05M tokens
Newer release
GPT-6 Luna
Released September 22, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-6 Luna38.1Coding index
GPT-6 LunaNot availableAgentic index
GPT-6 LunaNot availablePricing
GPT-6 Luna vs Muse Spark 1.3 Contributor API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-6 Luna | |
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.10 |
| Output tokensPer 1M tokens | $0.50 | $0.20 |
| Cached input (read)Per 1M tokens | $0.01 | $0.00 |
| Cache writePer 1M tokens | $0.13 | Not available |
| Long-context pricingPer 1M tokens, for very long prompts | $0.20 in / $0.75 out above 272K | Same rate at any length |
| Web searchPer request | $0.01 | $0.0025 |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
GPT-6 Luna$0.45Coding task
30K in, 4K out
GPT-6 Luna$5$2.30 cachedLong document summary
150K in, 2K out
GPT-6 Luna$16$2.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-6 Luna | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 128K tokens | 944K tokens |
| Input types | File, Image, Text | File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, None | Max, Extra high, High, Medium, Low, Minimal |
| Default reasoning effort | Medium | Medium |
| Release date | September 22, 2026 | September 2, 2026 |
Features
Supported features
API features available for each model.
| Metric | GPT-6 Luna | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Not supported | Supported |
| Stop sequences | Not supported | Not supported |
| Deterministic seed | Supported | Not supported |
| Verbosity control | Supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
GPT-6 LunaView full model details- GPT-6 Luna vs DeepSeek V4.1 Flash
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- GPT-6 Luna vs Hy3
- GPT-6 Luna vs GPT-5.6 Luna
- GPT-6 Luna vs GPT-6.1 Sol
- GPT-6 Luna vs Claude Sonnet 5.5
- GPT-6 Luna vs MiMo-V2.6-Pro
- GPT-6 Luna vs DeepSeek V4 Pro 0813
- GPT-6 Luna vs GPT-6 Astra
- GPT-6 Luna vs Claude Opus 5
- GPT-6 Luna vs Claude Fable 5.1
- GPT-6 Luna vs DeepSeek V4 Pro 0423
- GPT-6 Luna vs Solar Pro 4
- GPT-6 Luna vs GPT-6 Luna Pro
- GPT-6 Luna vs Claude Haiku 5.5
- GPT-6 Luna vs Ling 3.1 Flash
- GPT-6 Luna vs Qwen3.8 Flash
- GPT-6 Luna vs Qwen3.7 Flash
- GPT-6 Luna vs DeepSeek V4 Flash Vision Exp
- GPT-6 Luna vs GLM 5.3 FlashX
- GPT-6 Luna vs GPT-5.6 Luna Pro
- Muse Spark 1.3 Contributor vs DeepSeek V4.1 Flash
- Muse Spark 1.3 Contributor vs GLM 5.3 Flash
- Muse Spark 1.3 Contributor vs MiMo-V2.6-Flash
- Muse Spark 1.3 Contributor vs Hy3
- Muse Spark 1.3 Contributor vs Solar Mini 4
- Muse Spark 1.3 Contributor vs MiMo-V2.5
- Muse Spark 1.3 Contributor vs Solar Pro 4
- Muse Spark 1.3 Contributor vs gpt-oss-120b
- Muse Spark 1.3 Contributor vs Qwen3.7 Flash
- Muse Spark 1.3 Contributor vs Gemma 4 26B A4B
- Muse Spark 1.3 Contributor vs Mistral Nemo
Our take
Muse Spark 1.3 Contributor is 1.5x cheaper for a typical chat. GPT-6 Luna has the larger context window (1.05M vs 1.05M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GPT-6 Luna or Muse Spark 1.3 Contributor cheaper?
Muse Spark 1.3 Contributor is cheaper for a typical chat (2K input tokens and 500 output tokens). Muse Spark 1.3 Contributor costs $0.10 per 1M input tokens and $0.20 per 1M output tokens, while GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens.
Which has a bigger context window, GPT-6 Luna or Muse Spark 1.3 Contributor?
GPT-6 Luna supports up to 1.05M tokens of context, compared with 1.05M for Muse Spark 1.3 Contributor.
Can I use GPT-6 Luna and Muse Spark 1.3 Contributor at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-6 Luna and Muse Spark 1.3 Contributor answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-6 Luna and Muse Spark 1.3 Contributor at the same time. Compare the answers side by side and keep the best one.