Muse Spark 1.2 vs Muse Spark 1.3
Pricing verdict: Muse Spark 1.2 vs Muse Spark 1.3: pricing is a tie at $1.25/M input and $4.25/M output. The real choice is context: Muse Spark 1.3 is better for long-context tasks (1,048,576 tokens vs 1,000,000).
Direct answer: pricing is a tie. Choose Muse Spark 1.3 for the larger 1M context window, or pick Muse Spark 1.2 if 1M is already enough for your workload.
Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Muse Spark 1.2
Muse Spark 1.3
Cost Differences
Both models cost the same at the default workload.
Quick Recommendation
Direct API pricing is a tie at the default workload: both land around $10.125/month. Pick Muse Spark 1.3 if you need the larger 1M context window; otherwise choose the model that better fits your workflow.
Feature Comparison
| Feature | Muse Spark 1.2 | Muse Spark 1.3 |
|---|---|---|
| Provider | Meta (via Together AI) | Meta (via Together AI) |
| Input Price | $1.25/1M tokens | $1.25/1M tokens |
| Output Price | $4.25/1M tokens | $4.25/1M tokens |
| Context Window | 1,000,000 tokens | 1,048,576 tokens |
| Max Output | 131,072 tokens | 131,072 tokens |
| Category | coding | coding |
| Capabilities | textvisionaudiovideocodereasoning | textvisionaudiovideocodereasoning |
| Release Date | 8/5/2026 | 9/2/2026 |
Muse Spark 1.2 vs Muse Spark 1.3: Which Should You Choose?
Choosing between Muse Spark 1.2 and Muse Spark 1.3 depends on your priorities: cost efficiency, context length, or raw capability. Both models cost the same on input and output tokens, so raw price is a tie. Meanwhile, Muse Spark 1.3 offers a significantly larger context window at 1,048,576 tokens vs 1,000,000 for Muse Spark 1.2.
Both models are in the coding category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — direct API pricing stays tied, so the real decision is context, latency, and provider fit.
Output costs matter too. Muse Spark 1.2 charges $4.25/1M output tokens vs $4.25 for Muse Spark 1.3.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose Muse Spark 1.2 when:
- • You're already using Meta (via Together AI)'s API ecosystem
Choose Muse Spark 1.3 when:
- • You need a larger context window (1,048,576 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
Pros and Caveats at a Glance
Muse Spark 1.2
- • Input pricing: $1.25/M tokens
- • Output pricing: $4.25/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 131,072 tokens
Watch out for
- • Smaller context window than Muse Spark 1.3
Muse Spark 1.3
- • Input pricing: $1.25/M tokens
- • Output pricing: $4.25/M tokens
- • Context window: 1,048,576 tokens
- • Max output: 131,072 tokens
Watch out for
- • Trade-offs are minor in this matchup.
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Muse Spark 1.2 (Meta (via Together AI))
Muse Spark 1.3 (Meta (via Together AI))
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, Muse Spark 1.2 or Muse Spark 1.3?▼
What is the context window difference between Muse Spark 1.2 and Muse Spark 1.3?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
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