GPT-5.6 Sol Pro vs Muse Spark 1.3 Contributor
Muse Spark 1.3 Contributor costs 100.0x less per output token than GPT-5.6 Sol Pro ($0.20 vs $20.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $20.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.20
GPT-5.6 Sol Pro or Muse Spark 1.3 Contributor: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-5.6 Sol Pro for a larger context window (1.05M against 1.05M tokens).
No benchmark has tested both yet. GPT-5.6 Sol Pro has results on WeirdML, APEX-Agents and SimpleBench; Muse Spark 1.3 Contributor has none yet. Compare them on price and context instead.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
GPT-5.6 Sol Pro
GPT-5.6 Sol Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Muse Spark 1.3 Contributor
GPT-5.6 Sol Pro $0.014, Muse Spark 1.3 Contributor $0.0002 per turn.
List prices
At a glance
- Coding index
- GPT-5.6 Sol Pro not benchmarked, Muse Spark 1.3 Contributor not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- GPT-5.6 Sol Pro $20.00 against Muse Spark 1.3 Contributor $0.20 per million output tokens, 100.0x apart.
- Context window
- GPT-5.6 Sol Pro takes 1.05M tokens, Muse Spark 1.3 Contributor 1.05M.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index1 board measured
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.3 Contributor | Leader |
|---|---|---|---|
| WeirdML | 89.4% | Not measured | Only GPT-5.6 Sol Pro measured |
| Neither model has a result on the other 42 boards here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.3 Contributor | Leader |
|---|---|---|---|
| APEX-Agents | 51.4% | Not measured | Only GPT-5.6 Sol Pro measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.3 Contributor | Leader |
|---|---|---|---|
| SimpleBench | 71.7% | Not measured | Only GPT-5.6 Sol Pro measured |
| Chess puzzles | 68.0% | Not measured | Only GPT-5.6 Sol Pro measured |
| Neither model has a result on the other 21 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | GPT-5.6 Sol Pro | Muse Spark 1.3 Contributor | Leader |
|---|---|---|---|
| FrontierMath, tier 4 | 80.5% | Not measured | Only GPT-5.6 Sol Pro measured |
| Neither model has a result on the other 13 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Muse Spark 1.3 Contributor costs less
Repository review
50K input + 3K output tokens
Muse Spark 1.3 Contributor costs less
Agent loop
200K input + 10K output tokens
Muse Spark 1.3 Contributor costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-5.6 Sol Pro | Meta Muse Spark 1.3 Contributor |
|---|---|---|
| Maker | OpenAI | Meta |
| Weights | No public weights listed | No public weights listed |
| Released | July 9, 2026 | September 2, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $4.00 | $0.10 |
| Output $/Mtok | $20.00 | $0.20 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.6 Sol Pro better than Muse Spark 1.3 Contributor for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.6 Sol Pro for a larger context window (1.05M against 1.05M tokens).
Which is cheaper, GPT-5.6 Sol Pro or Muse Spark 1.3 Contributor?
GPT-5.6 Sol Pro costs $4.00 per million input tokens and $20.00 per million output tokens; Muse Spark 1.3 Contributor costs $0.10 and $0.20. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-5.6 Sol Pro or Muse Spark 1.3 Contributor?
GPT-5.6 Sol Pro, with 1.05M tokens against 1.05M.
Has any benchmark tested both GPT-5.6 Sol Pro and Muse Spark 1.3 Contributor?
No benchmark has tested both yet. GPT-5.6 Sol Pro has results on WeirdML, APEX-Agents and SimpleBench; Muse Spark 1.3 Contributor has none yet. Compare them on price and context instead. Data as of October 22, 2026.