AI model comparison
Muse Spark 1.1 vs GPT-5.6 Luna
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Meta
Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks.
- Input / 1M
- $1.25
- Output / 1M
- $4.25
- Context
- 1.05M
OpenAI
GPT-5.6 Luna
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.
- Input / 1M
- $0.20
- Output / 1M
- $1.20
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-5.6 Luna
4.6x cheaper for a typical chat
Higher intelligence score
GPT-5.6 Luna
37.3 vs 33.7 on Artificial Analysis
Larger context window
GPT-5.6 Luna
1.05M vs 1.05M tokens
Newer release
Muse Spark 1.1
Released July 16, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-5.6 Luna37.3Coding index
GPT-5.6 Luna71.4Agentic index
GPT-5.6 Luna42.1Pricing
Muse Spark 1.1 vs GPT-5.6 Luna API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-5.6 Luna | |
|---|---|---|
| Input tokensPer 1M tokens | $1.25 | $0.20 |
| Output tokensPer 1M tokens | $4.25 | $1.20 |
| Cached input (read)Per 1M tokens | $0.15 | $0.02 |
| Cache writePer 1M tokens | Not available | $0.25 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $0.40 in / $1.80 out above 272K |
| Web searchPer request | $0.0025 | $0.01 |
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-5.6 Luna$1Coding task
30K in, 4K out
GPT-5.6 Luna$10.80$5.40 cachedLong document summary
150K in, 2K out
GPT-5.6 Luna$32.40$5.40 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-5.6 Luna | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 944K tokens | 128K tokens |
| Input types | File, Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High, Medium, Low, Minimal | Max, Extra high, High, Medium, Low, None |
| Default reasoning effort | Medium | Medium |
| Release date | July 16, 2026 | July 9, 2026 |
Features
Supported features
API features available for each model.
| Metric | GPT-5.6 Luna | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Not supported | Not supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Muse Spark 1.1 vs Gemini 3.8 Flash
- Muse Spark 1.1 vs Muse Spark 1.2
- Muse Spark 1.1 vs DeepSeek V4.1 Flash
- Muse Spark 1.1 vs DeepSeek V4 Pro 0813
- Muse Spark 1.1 vs DeepSeek V4 Flash 0731
- Muse Spark 1.1 vs Gemini 3.6 Flash
- Muse Spark 1.1 vs GLM 5.2
- Muse Spark 1.1 vs Qwen3.8 27B
- Muse Spark 1.1 vs Gemini 3.5 Flash
GPT-5.6 LunaView full model details- GPT-5.6 Luna vs DeepSeek V4.1 Flash
- GPT-5.6 Luna vs GLM 5.3 Flash
- GPT-5.6 Luna vs MiMo-V2.6-Flash
- GPT-5.6 Luna vs Hy4 preview
- GPT-5.6 Luna vs GPT-6 Luna
- GPT-5.6 Luna vs DeepSeek V4 Flash 0731
- GPT-5.6 Luna vs Gemini 3.8 Flash
- GPT-5.6 Luna vs DeepSeek V4 Pro 0813
- GPT-5.6 Luna vs Claude Haiku 5.5
- GPT-5.6 Luna vs GPT-6 Luna Pro
- GPT-5.6 Luna vs Qwen3.8 27B
- GPT-5.6 Luna vs Gemini 3.7 Flash
- GPT-5.6 Luna vs Muse Spark 1.2
- GPT-5.6 Luna vs GPT-5.5
- GPT-5.6 Luna vs DeepSeek V4 Flash Vision Exp
- GPT-5.6 Luna vs GLM 5.3 FlashX
- GPT-5.6 Luna vs GPT-5.6 Luna Pro
Our take
GPT-5.6 Luna is 4.6x cheaper for a typical chat. GPT-5.6 Luna scores higher on the Artificial Analysis Intelligence Index (37.3 vs 33.7). GPT-5.6 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 Muse Spark 1.1 or GPT-5.6 Luna cheaper?
GPT-5.6 Luna is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens, while Muse Spark 1.1 costs $1.25 per 1M input tokens and $4.25 per 1M output tokens.
Which has a bigger context window, Muse Spark 1.1 or GPT-5.6 Luna?
GPT-5.6 Luna supports up to 1.05M tokens of context, compared with 1.05M for Muse Spark 1.1.
Is Muse Spark 1.1 smarter than GPT-5.6 Luna?
On the Artificial Analysis Intelligence Index, Muse Spark 1.1 scores 33.7 and GPT-5.6 Luna scores 37.3, putting GPT-5.6 Luna ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Muse Spark 1.1 and GPT-5.6 Luna at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Muse Spark 1.1 and GPT-5.6 Luna answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Muse Spark 1.1 and GPT-5.6 Luna at the same time. Compare the answers side by side and keep the best one.