GPT-5.6 Terra vs Muse Spark 1.2
Pricing verdict: GPT-5.6 Terra vs Muse Spark 1.2: Muse Spark 1.2 is cheaper for input-heavy usage ($1.25/M vs $2.50/M input tokens), while GPT-5.6 Terra is better for long-context tasks (1,050,000 tokens).
Direct answer: choose Muse Spark 1.2 for lower token spend and choose GPT-5.6 Terra when your workload needs longer context.
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)
GPT-5.6 Terra
Muse Spark 1.2
Cost Differences
Muse Spark 1.2 costs less than GPT-5.6 Terra
Quick Recommendation
Winner for direct API pricing: Muse Spark 1.2. At the default workload, Muse Spark 1.2 saves about $19.875/month ($241.8125/year) versus GPT-5.6 Terra.
Feature Comparison
| Feature | GPT-5.6 Terra | Muse Spark 1.2 |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $2.50/1M tokens | $1.25/1M tokens |
| Output Price | $15.00/1M tokens | $4.25/1M tokens |
| Context Window | 1,050,000 tokens | 1,000,000 tokens |
| Max Output | 128,000 tokens | 131,072 tokens |
| Category | balanced | coding |
| Capabilities | textvisioncodereasoning | textvisionaudiovideocodereasoning |
| Release Date | 6/26/2026 | 8/5/2026 |
GPT-5.6 Terra vs Muse Spark 1.2: Which Should You Choose?
Choosing between GPT-5.6 Terra and Muse Spark 1.2 depends on your priorities: cost efficiency, context length, or raw capability. Muse Spark 1.2 is the more affordable option at $1.25/1M input tokens — 50% cheaper than GPT-5.6 Terra. Meanwhile, GPT-5.6 Terra offers a significantly larger context window at 1,050,000 tokens vs 1,000,000 for Muse Spark 1.2.
These models come from different providers — OpenAI and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with OpenAI, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: GPT-5.6 Terra is a balanced model while Muse Spark 1.2 is coding. This means they're optimized for different workloads. Muse Spark 1.2 targets more demanding workloads, while GPT-5.6 Terra provides a cost-effective option for everyday tasks.
Output costs matter too. GPT-5.6 Terra charges $15.00/1M output tokens vs $4.25 for Muse Spark 1.2. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Muse Spark 1.2 has the edge here at $4.25/1M output tokens.
Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.
Best Use Cases
Choose GPT-5.6 Terra when:
- • You need a larger context window (1,050,000 tokens)
- • You're already using OpenAI's API ecosystem
Choose Muse Spark 1.2 when:
- • Budget is a primary concern
- • You need more capabilities (audio, video)
- • You need longer outputs (up to 131,072 tokens)
- • You're already using Meta (via Together AI)'s API ecosystem
Pros and Caveats at a Glance
GPT-5.6 Terra
- • Input pricing: $2.50/M tokens
- • Output pricing: $15.00/M tokens
- • Context window: 1,050,000 tokens
- • Max output: 128,000 tokens
Watch out for
- • Higher input cost than Muse Spark 1.2
- • Higher output cost than Muse Spark 1.2
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 GPT-5.6 Terra
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-5.6 Terra (OpenAI)
Muse Spark 1.2 (Meta (via Together AI))
Start using GPT-5.6 Terra today
Sign Up for OpenAI →Start using Muse Spark 1.2 today
Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, GPT-5.6 Terra or Muse Spark 1.2?▼
What is the context window difference between GPT-5.6 Terra and Muse Spark 1.2?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare OpenAI and Meta (via Together AI) API pricing beyond this model matchup?▼
Related Comparisons
Related Articles
Learn when to pick each model, then compare live pricing scenarios.