GPT-4o vs Muse Spark 1.2
Pricing verdict: GPT-4o 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 Muse Spark 1.2 is better for long-context tasks (1,000,000 tokens).
Direct answer: choose Muse Spark 1.2 for lower token spend and choose Muse Spark 1.2 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-4o
Muse Spark 1.2
Cost Differences
Muse Spark 1.2 costs less than GPT-4o
Quick Recommendation
Winner for direct API pricing: Muse Spark 1.2. At the default workload, Muse Spark 1.2 saves about $12.375/month ($150.5625/year) versus GPT-4o.
Feature Comparison
| Feature | GPT-4o | Muse Spark 1.2 |
|---|---|---|
| Provider | OpenAI | Meta (via Together AI) |
| Input Price | $2.50/1M tokens | $1.25/1M tokens |
| Output Price | $10.00/1M tokens | $4.25/1M tokens |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Max Output | 16,384 tokens | 131,072 tokens |
| Category | flagship | coding |
| Capabilities | textvisionaudio | textvisionaudiovideocodereasoning |
| Release Date | 5/13/2024 | 8/5/2026 |
GPT-4o vs Muse Spark 1.2: Which Should You Choose?
Choosing between GPT-4o 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-4o. Meanwhile, Muse Spark 1.2 offers a significantly larger context window at 1,000,000 tokens vs 128,000 for GPT-4o.
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-4o is a flagship model while Muse Spark 1.2 is coding. This means they're optimized for different workloads. GPT-4o is built for complex tasks that require deeper reasoning, while Muse Spark 1.2 offers better value for routine operations.
Output costs matter too. GPT-4o charges $10.00/1M 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-4o when:
- • You're already using OpenAI's API ecosystem
Choose Muse Spark 1.2 when:
- • Budget is a primary concern
- • You need a larger context window (1,000,000 tokens)
- • You need more capabilities (video, code, reasoning)
- • 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-4o
- • Input pricing: $2.50/M tokens
- • Output pricing: $10.00/M tokens
- • Context window: 128,000 tokens
- • Max output: 16,384 tokens
Watch out for
- • Higher input cost than Muse Spark 1.2
- • Higher output cost than Muse Spark 1.2
- • Smaller context window 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
- • Trade-offs are minor in this matchup.
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
GPT-4o (OpenAI)
Muse Spark 1.2 (Meta (via Together AI))
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, GPT-4o or Muse Spark 1.2?▼
What is the context window difference between GPT-4o and Muse Spark 1.2?▼
Which model is better for AI Chatbot?▼
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?▼
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