GPT-6 Astra vs Muse Spark 1.3
| Signal | GPT-6 Astra | Delta | Muse Spark 1.3 |
|---|---|---|---|
Capabilities | 100 | -- | |
Pricing | 50 | -46 | |
Context window size | 96 | +0 | |
Recency | 100 | -- | |
Output Capacity | 82 | -14 | |
| Overall Result | 1 wins | of 5 | 2 wins |
Score History Unavailable
Not enough historical data to show a comparison chart. Score history is recorded weekly and will be available after at least two data points are collected.
40
GPT-6 Astra
80.8
Muse Spark 1.3
GPT-6 Astra
OpenAI
Muse Spark 1.3
meta
Muse Spark 1.3 saves you $3162.50/month
That's $37950.00/year compared to GPT-6 Astra at your current usage level of 100K calls/month.
| Metric | GPT-6 Astra | Muse Spark 1.3 | Winner |
|---|---|---|---|
| Overall Score | 40 | 81 | Muse Spark 1.3 |
| Rank | #232 | #78 | Muse Spark 1.3 |
| Quality Rank | #232 | #78 | Muse Spark 1.3 |
| Adoption Rank | #232 | #78 | Muse Spark 1.3 |
| Parameters | -- | -- | -- |
| Context Window | 1050K | 1049K | GPT-6 Astra |
| Pricing | $10.00/$50.00/M | $1.25/$4.25/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 100 | GPT-6 Astra |
| Pricing | 50 | 96 | Muse Spark 1.3 |
| Context window size | 96 | 96 | GPT-6 Astra |
| Recency | 100 | 100 | GPT-6 Astra |
| 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 40/100 (rank #232), placing it in the top 20% of all 290 models tracked.
Scores 81/100 (rank #78), placing it in the top 73% of all 290 models tracked.
Muse Spark 1.3 has a 41-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-6 Astra when you need:
- Step-by-step reasoning and chain-of-thought problem solving
Choose Muse Spark 1.3 when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
Muse Spark 1.3 offers 91% better value per quality point. At 1M tokens/day, you'd spend $82.50/month with Muse Spark 1.3 vs $900.00/month with GPT-6 Astra - a $817.50 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 (81/100) 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
Muse Spark 1.3 clearly outperforms GPT-6 Astra with a significant 40.8-point lead. For most general use cases, Muse Spark 1.3 is the stronger choice. However, GPT-6 Astra may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-6 Astra
Marginally better benchmark scores; both are excellent
Best for Cost
Muse Spark 1.3
91% lower pricing; better value at scale
Best for Reliability
GPT-6 Astra
Higher uptime and faster response speeds
Best for Prototyping
GPT-6 Astra
Stronger community support and better developer experience
Best for Production
GPT-6 Astra
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-6 Astra | Muse Spark 1.3 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
GPT-6 Astra
OpenAI
Muse Spark 1.3
meta
Muse Spark 1.3 saves you $70.65/month
That's 91% cheaper than GPT-6 Astra 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-6 Astra | Muse Spark 1.3 |
|---|---|---|
| Context Window | 1.1M | 1.0M |
| Max Output Tokens | 128,000 | 943,718 |
| Open Source | No | No |
| Created | Sep 4, 2026 | Sep 2, 2026 |