Muse Spark 1.2 vs o4-mini
Pricing verdict: Muse Spark 1.2 vs o4-mini: o4-mini is cheaper for input-heavy usage ($1.10/M vs $1.25/M input tokens), while o4-mini is better for long-context tasks (2,000,000 tokens).
Direct answer: choose o4-mini for lower token spend and choose o4-mini 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)
Muse Spark 1.2
o4-mini
Cost Differences
o4-mini costs less than Muse Spark 1.2
Quick Recommendation
Winner for direct API pricing: o4-mini. At the default workload, o4-mini saves about $0.225/month ($2.7375/year) versus Muse Spark 1.2.
Feature Comparison
| Feature | Muse Spark 1.2 | o4-mini |
|---|---|---|
| Provider | Meta (via Together AI) | OpenAI |
| Input Price | $1.25/1M tokens | $1.10/1M tokens |
| Output Price | $4.25/1M tokens | $4.40/1M tokens |
| Context Window | 1,000,000 tokens | 2,000,000 tokens |
| Max Output | 131,072 tokens | 131,072 tokens |
| Category | coding | reasoning |
| Capabilities | textvisionaudiovideocodereasoning | textreasoningcode |
| Release Date | 8/5/2026 | 4/16/2025 |
Muse Spark 1.2 vs o4-mini: Which Should You Choose?
Choosing between Muse Spark 1.2 and o4-mini depends on your priorities: cost efficiency, context length, or raw capability. o4-mini is the more affordable option at $1.10/1M input tokens — 12% cheaper than Muse Spark 1.2. Meanwhile, o4-mini offers a significantly larger context window at 2,000,000 tokens vs 1,000,000 for Muse Spark 1.2.
These models come from different providers — Meta (via Together AI) and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Meta (via Together AI), switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Muse Spark 1.2 is a coding model while o4-mini is reasoning. This means they're optimized for different workloads. o4-mini targets more demanding workloads, while Muse Spark 1.2 provides a cost-effective option for everyday tasks.
Output costs matter too. Muse Spark 1.2 charges $4.25/1M output tokens vs $4.40 for o4-mini. 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: Muse Spark 1.2 supports vision (image inputs) while o4-mini is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Muse Spark 1.2 when:
- • You need more capabilities (vision, audio, video)
- • You're already using Meta (via Together AI)'s API ecosystem
Choose o4-mini when:
- • Budget is a primary concern
- • You need a larger context window (2,000,000 tokens)
- • You're already using OpenAI'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
- • Higher input cost than o4-mini
- • Smaller context window than o4-mini
o4-mini
- • Input pricing: $1.10/M tokens
- • Output pricing: $4.40/M tokens
- • Context window: 2,000,000 tokens
- • Max output: 131,072 tokens
Watch out for
- • Higher output cost than Muse Spark 1.2
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Muse Spark 1.2 (Meta (via Together AI))
o4-mini (OpenAI)
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, Muse Spark 1.2 or o4-mini?▼
What is the context window difference between Muse Spark 1.2 and o4-mini?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Meta (via Together AI) and OpenAI API pricing beyond this model matchup?▼
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