AI model comparison
Muse Wonder vs GPT-6 Sol
Side by side comparison of Muse Wonder and GPT-6 Sol on pricing, benchmark scores, context window, and more.
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks.
- Input / 1M
- $4
- Output / 1M
- $20
- Context
- 1.05M
GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier.
- Input / 1M
- $2
- Output / 1M
- $10
- Context
- 1.05M
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At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GPT-6 Sol
2x cheaper for a typical chat
Higher intelligence score
GPT-6 Sol
44.2 vs 43.6 on Artificial Analysis
Larger context window
GPT-6 Sol
1.05M vs 1.05M tokens
Newer release
Muse Wonder
Released October 12, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-6 Sol44.2Coding index
GPT-6 SolNot availableAgentic index
GPT-6 SolNot availablePricing
Muse Wonder vs GPT-6 Sol API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-6 Sol | |
|---|---|---|
| Input tokensPer 1M tokens | $4 | $2 |
| Output tokensPer 1M tokens | $20 | $10 |
| Cached input (read)Per 1M tokens | $0.20 | $0.20 |
| Cache writePer 1M tokens | Not available | $2.50 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $4 in / $15 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-6 Sol$9Coding task
30K in, 4K out
GPT-6 Sol$100$46 cachedLong document summary
150K in, 2K out
GPT-6 Sol$320$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 Sol | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 944K tokens | 128K tokens |
| Input types | Audio, File, Image, Text, Video | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low, Minimal | Max, Extra high, High, Medium, Low, None |
| Default reasoning effort | Medium | Medium |
| Release date | October 12, 2026 | September 22, 2026 |
Features
Supported features
API features available for each model.
| Metric | GPT-6 Sol | |
|---|---|---|
| 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.
GPT-6 SolView full model details- GPT-6 Sol vs Claude Opus 5.5
- GPT-6 Sol vs GPT-6 Astra
- GPT-6 Sol vs GPT-6.1 Sol
- GPT-6 Sol vs Claude Sonnet 5.5
- GPT-6 Sol vs GPT-6.1 Terra
- GPT-6 Sol vs Gemini 4 Argon
- GPT-6 Sol vs Claude Fable 5.1
- GPT-6 Sol vs Kimi K3.1 Pro
- GPT-6 Sol vs Muse Spark 1.3
- GPT-6 Sol vs Grok 4.7
- GPT-6 Sol vs GPT-5.6 Terra
- GPT-6 Sol vs Claude Sonnet 5
- GPT-6 Sol vs GPT-5.6 Sol
Our take
GPT-6 Sol is 2x cheaper for a typical chat. GPT-6 Sol scores higher on the Artificial Analysis Intelligence Index (44.2 vs 43.6). GPT-6 Sol 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 Wonder or GPT-6 Sol cheaper?
GPT-6 Sol is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-6 Sol costs $2 per 1M input tokens and $10 per 1M output tokens, while Muse Wonder costs $4 per 1M input tokens and $20 per 1M output tokens.
Which has a bigger context window, Muse Wonder or GPT-6 Sol?
GPT-6 Sol supports up to 1.05M tokens of context, compared with 1.05M for Muse Wonder.
Is Muse Wonder smarter than GPT-6 Sol?
On the Artificial Analysis Intelligence Index, Muse Wonder scores 43.6 and GPT-6 Sol scores 44.2, putting GPT-6 Sol ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Muse Wonder and GPT-6 Sol at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Muse Wonder and GPT-6 Sol answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Muse Wonder and GPT-6 Sol at the same time. Compare the answers side by side and keep the best one.