Muse Spark 1.1 vs GPT-6 Luna vs Gemini 3.6 Flash
Gemini 3.6 Flash comes out ahead, 65 to 60 and 57 on our weighted score, though GPT-6 Luna is 7.5× cheaper per token.
Meta
Muse Spark 1.1
57/100- ECI154.3
- Price$1.25 / $4.25
- Context1.05M
OpenAI
GPT-6 Luna
60/100- ECI—
- Price$0.10 / $0.50
- Context1.05M
- Our pick
Google
Gemini 3.6 Flash
65/100- ECI154.3
- Price$0.75 / $3.75
- Context1.05M
Gemini 3.6 Flash is our pick
Gemini 3.6 Flash is the better all-round choice, scoring 65/100 against GPT-6 Luna (60) and Muse Spark 1.1 (57). It leads on capability and inputs & features. GPT-6 Luna wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (SimpleQA Verified), because GPT-6 Luna has no Capabilities Index score yet.
- CapabilityGemini 3.6 FlashShared benchmarks: Gemini 3.6 Flash 66.2% · Muse Spark 1.1 57.8% · GPT-6 Luna 41.4%
- Lowest priceGPT-6 LunaGPT-6 Luna $0.20 · Gemini 3.6 Flash $1.50 · Muse Spark 1.1 $2.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameGPT-6 Luna 1,050,000 · Muse Spark 1.1 1,048,576 · Gemini 3.6 Flash 1,048,576 tokens
- Widest inputsGemini 3.6 FlashMuse Spark 1.1: Text, Images, PDFs, Video · GPT-6 Luna: Text, Images, PDFs · Gemini 3.6 Flash: Text, Images, PDFs, Audio, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Muse Spark 1.1 | GPT-6 Luna | Gemini 3.6 Flash |
|---|---|---|---|---|
| CapabilityShared benchmarks | 50% | 58 | 41 | 66 |
| Price | 25% | 36 | 83 | 42 |
| Inputs & features | 15% | 90 | 80 | 100 |
| Context window | 10% | 61 | 61 | 61 |
| Overall | 100% | 57/100 | 60/100 | 65/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 154.3 | — | 154.3 (best) |
| ECI rank | #35 of 148 | — | #34 of 148 (best) |
| GPQA DiamondGraduate-level science questions | — | 90.5% | 94.1% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | 79.0% (best) | 59.0% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 98.9% (best) | 94.2% |
| SimpleQA VerifiedShort factual questions | 57.8% | 41.4% | 66.2% (best) |
| Price per million tokens | |||
| Input | $1.25 | $0.10 (best) | $0.75 |
| Output | $4.25 | $0.50 (best) | $3.75 |
| Cached input | $0.15 | $0.01 (best) | $0.075 |
| Blended (3:1) | $2.00 | $0.20 (best) | $1.50 |
| Long-context rate | Same rate | Over 272K: $0.20 / $0.75 | Same rate |
| Price source | Official Meta API | Official OpenAI API | Official Google API |
| Limits | |||
| Context window | 1,048,576 tokens | 1,050,000 tokens (best) | 1,048,576 tokens |
| Max output | 131,072 tokens (best) | 128,000 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | Yes | Yes | Yes |
| Audio | No | No | Yes |
| Video | Yes | No | Yes |
| Reasoning | Yesminimal · low · medium · high · xhigh | Yeslow · medium · high · xhigh · max | Yesminimal · low · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | muse-spark-1.1 | gpt-6-luna | gemini-3.6-flash |
| API providers | 13 | 24 | 25 (best) |
| Released | Jul 9, 2026 | Sep 22, 2026 | Jul 21, 2026 |
| Knowledge cutoff | — | May 18, 2026 | Mar 2026 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Muse Spark 1.1$21.00
GPT-6 Luna$2.00
Gemini 3.6 Flash$15.00
Which should you choose?
Which is better: Muse Spark 1.1, GPT-6 Luna or Gemini 3.6 Flash?
Gemini 3.6 Flash is the better all-round choice, scoring 65/100 against GPT-6 Luna (60) and Muse Spark 1.1 (57). It leads on capability and inputs & features. GPT-6 Luna wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (SimpleQA Verified), because GPT-6 Luna has no Capabilities Index score yet.
Which is cheaper, Muse Spark 1.1, GPT-6 Luna or Gemini 3.6 Flash?
GPT-6 Luna is cheaper at $0.10 input / $0.50 output per million tokens (official OpenAI API price). Gemini 3.6 Flash costs $0.75 input / $3.75 output per million tokens (official Google API price); Muse Spark 1.1 costs $1.25 input / $4.25 output per million tokens (official Meta API price). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for GPT-6 Luna versus $1.50 for Gemini 3.6 Flash (7.5× as much) and $2.00 for Muse Spark 1.1 (10× as much).
Which scores higher on benchmarks?
Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (SimpleQA Verified): Gemini 3.6 Flash 66.2%, Muse Spark 1.1 57.8% and GPT-6 Luna 41.4%. On individual benchmarks: SimpleQA Verified — Gemini 3.6 Flash 66.2%, Muse Spark 1.1 57.8%, GPT-6 Luna 41.4%.
Which is better for coding?
There are no published SWE-bench Verified results for Muse Spark 1.1, GPT-6 Luna and Gemini 3.6 Flash yet, so there is no like-for-like coding score. On overall capability, Gemini 3.6 Flash leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Their context windows are effectively the same size: Muse Spark 1.1 1,048,576, GPT-6 Luna 1,050,000 and Gemini 3.6 Flash 1,048,576 tokens. Maximum output per response: Muse Spark 1.1 up to 131,072, GPT-6 Luna up to 128,000, Gemini 3.6 Flash up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Muse Spark 1.1 accepts text, images, PDFs and video; GPT-6 Luna accepts text, images and PDFs; Gemini 3.6 Flash accepts text, images, PDFs, audio and video. Gemini 3.6 Flash handles the widest range of inputs.
Are any of these open source?
No. Muse Spark 1.1, GPT-6 Luna and Gemini 3.6 Flash are proprietary and only available through APIs and apps.
Which is newer?
GPT-6 Luna is the newest, released Sep 22, 2026. Gemini 3.6 Flash came out Jul 21, 2026; Muse Spark 1.1 came out Jul 9, 2026. Knowledge cutoff: GPT-6 Luna May 18, 2026, Gemini 3.6 Flash Mar 2026.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.