GPT-5.6 Sol Pro (batch) vs Muse Spark 1.3
| Signal | GPT-5.6 Sol Pro (batch) | Delta | Muse Spark 1.3 |
|---|---|---|---|
Capabilities | 100 | -- | |
Benchmarks | 88 | +88 | |
Pricing | 95 | -1 | |
Context window size | 96 | +0 | |
Recency | 100 | -- | |
Output Capacity | 82 | -14 | |
| Overall Result | 2 wins | of 6 | 2 wins |
Score History
89
current score
GPT-5.6 Sol Pro (batch)
right now
80.9
current score
GPT-5.6 Sol Pro (batch)
OpenAI
Muse Spark 1.3
meta
Muse Spark 1.3 saves you $12.50/month
That's $150.00/year compared to GPT-5.6 Sol Pro (batch) at your current usage level of 100K calls/month.
| Metric | GPT-5.6 Sol Pro (batch) | Muse Spark 1.3 | Winner |
|---|---|---|---|
| Overall Score | 89 | 81 | GPT-5.6 Sol Pro (batch) |
| Rank | #39 | #82 | GPT-5.6 Sol Pro (batch) |
| Quality Rank | #39 | #82 | GPT-5.6 Sol Pro (batch) |
| Adoption Rank | #39 | #82 | GPT-5.6 Sol Pro (batch) |
| Parameters | -- | -- | -- |
| Context Window | 1050K | 1049K | GPT-5.6 Sol Pro (batch) |
| Pricing | $1.00/$5.00/M | $1.25/$4.25/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | GPT-5.6 Sol Pro (batch) |
| Benchmarks | 88 | -- | GPT-5.6 Sol Pro (batch) |
| Pricing | 95 | 96 | Muse Spark 1.3 |
| Context window size | 96 | 96 | GPT-5.6 Sol Pro (batch) |
| Recency | 100 | 100 | GPT-5.6 Sol Pro (batch) |
| Output Capacity | 82 | 96 | Muse Spark 1.3 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 89/100 (rank #39), placing it in the top 87% of all 290 models tracked.
Scores 81/100 (rank #82), placing it in the top 72% of all 290 models tracked.
GPT-5.6 Sol Pro (batch) has a 8-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-5.6 Sol Pro (batch) when you need:
- Step-by-step reasoning and chain-of-thought problem solving
Choose Muse Spark 1.3 when you need:
- Step-by-step reasoning and chain-of-thought problem solving
GPT-5.6 Sol Pro (batch) offers 8% better value per quality point. At 1M tokens/day, you'd spend $82.50/month with Muse Spark 1.3 vs $90.00/month with GPT-5.6 Sol Pro (batch) - a $7.50 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Muse Spark 1.3 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1050K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($4.25/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (89/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5.6 Sol Pro (batch) has a moderate advantage with a 8.099999999999994-point lead in composite score. It wins on more signal dimensions, but Muse Spark 1.3 has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
GPT-5.6 Sol Pro (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Muse Spark 1.3
8% lower pricing; better value at scale
Best for Reliability
GPT-5.6 Sol Pro (batch)
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.6 Sol Pro (batch)
Stronger community support and better developer experience
Best for Production
GPT-5.6 Sol Pro (batch)
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | GPT-5.6 Sol Pro (batch) | Muse Spark 1.3 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
GPT-5.6 Sol Pro (batch)
OpenAI
Muse Spark 1.3
meta
Muse Spark 1.3 saves you $0.4500/month
That's 6% cheaper than GPT-5.6 Sol Pro (batch) at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-5.6 Sol Pro (batch) | Muse Spark 1.3 |
|---|---|---|
| Context Window | 1.1M | 1.0M |
| Max Output Tokens | 128,000 | 943,718 |
| Open Source | No | No |
| Created | Jul 9, 2026 | Sep 2, 2026 |