Muse Spark 1.3 vs GPT-5.6 Sol
There is no quality verdict yet: the AIGROW small-business benchmark has not run Muse Spark 1.3. On price, Muse Spark 1.3 costs less: $1.25 in and $4.25 out per million tokens, against $4 in and $20 out for GPT-5.6 Sol.
AIGROW credit covers Claude Opus 5.5, Claude Fable 5.2, Claude Fable 5.1, GPT-6 Astra, Claude Sonnet 5.5, GPT-6.1 Sol, GPT-6.1 Terra, Grok 4.7 and Gemini 4 Argon. GPT-6 Astra below list price
$25 a month brings $110 of API credit and cancels any time; $25 once buys $100. US dollars, standard rate, shortest context band. Price only: the benchmark has not run both. Newer model: GPT-6.1 Sol
- Muse Spark 1.3
- $5.45
- GPT-5.6 Sol
- $20.00
- Muse Spark 1.3, per M tokens
- $1.25 / $4.25
- GPT-5.6 Sol, per M tokens
- $4 / $20
3,000 tokens in and 400 out each, at list price.
Meta's everyday hosted model against OpenAI's GPT-5.6 flagship at roughly a quarter of the price. 1,000 support replies cost $20.00 on GPT-5.6 Sol and $5.45 on Muse Spark 1.3, so GPT-5.6 Sol costs 3.7 times as much. Prices are the makers’ own, checked on 12 November 2026.
What each one costs
The API price per million tokens and the cheapest app plan with each model, from the makers’ own pages. Each name opens that model’s full price page.
- Muse Spark 1.3
- On the Meta API, Muse Spark 1.3 costs $1.25 per million input tokens and $4.25 per million output tokens.
- GPT-5.6 Sol
- On the OpenAI API, GPT-5.6 Sol costs $4 per million input tokens and $20 per million output tokens. In ChatGPT, the cheapest plan with it is Plus at $20/mo. Plan prices read 22 October 2026.
Side by side
Each maker’s published rate for its standard tier. Cached input is what a repeated prompt prefix costs once the provider has stored it.
| Fact | Muse Spark 1.3 | GPT-5.6 Sol |
|---|---|---|
| Maker | Meta | OpenAI |
| Tier | Flagships | Flagships |
| Input, per M tokens | $1.25 | $4.00 |
| Output, per M tokens | $4.25 | $20.00 |
| Cached input | $0.15 | $0.40 |
| Context window | 1.05M | 1.05M |
| Released | Not published | 9 Jul 2026 |
| Weights | Closed weights | Closed weights |
What a job costs on each
1,000 runs of each job at the two list prices. The gap moves from job to job because the models price input, output and cached context differently.
| Job | Muse Spark 1.3 | GPT-5.6 Sol | Cheaper |
|---|---|---|---|
| Support reply3,000 in, 400 out. | $5.45 | $20.00 | Muse Spark 1.3, 73% less |
| Document summary25,000 in, 1,000 out. | $35.50 | $120 | Muse Spark 1.3, 70% less |
| Agent task80,000 in (70,000 cached), 3,000 out. | $35.75 | $128 | Muse Spark 1.3, 72% less |
The token counts are ours, chosen to look like real work; the prices are the makers’. A model with no published cache price bills the agent task’s repeated context at its full input rate.
The small print
What each base rate leaves out, from the makers’ own pages: surcharges, discounts, promotions and cache pricing.
- Muse Spark 1.3
- Standard tier; no long-context premium. A Contributor tier (Meta may train on your data) costs $0.10 / $0.20, cached $0.002. Web search grounding $2.50 per 1,000 queries. Release date not stated on the official pages. Meta’s pricing page
- GPT-5.6 Sol
- Promotional price since 2026-08-21, 'available until November 30, 2026'; the previous price was $5 / $30. Requests above 272K input tokens bill 2x input and 1.5x output ($8 / $30). Cache write $5. Batch and Flex 50% off. Data residency adds 10%. OpenAI’s pricing page
Other comparisons
Every head to head on the list that involves Muse Spark 1.3 or GPT-5.6 Sol.
Compare Muse Spark 1.3 and GPT-5.6 Sol with 52 other models
The price list sets every model’s input and output price side by side, with what a support reply, a document summary and an agent task cost on each.
Prices checked 12 November 2026