Gemini Omni 1.1 Flash vs Muse Spark 1.2
Pricing verdict: Gemini Omni 1.1 Flash vs Muse Spark 1.2: Muse Spark 1.2 is cheaper for input-heavy usage ($1.25/M vs $1.50/M input tokens), while Gemini Omni 1.1 Flash is better for long-context tasks (1,048,576 tokens).
Direct answer: choose Muse Spark 1.2 for lower token spend and choose Gemini Omni 1.1 Flash 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)
Gemini Omni 1.1 Flash
Muse Spark 1.2
Cost Differences
Muse Spark 1.2 costs less than Gemini Omni 1.1 Flash
Quick Recommendation
Winner for direct API pricing: Muse Spark 1.2. At the default workload, Muse Spark 1.2 saves about $20.625/month ($250.9375/year) versus Gemini Omni 1.1 Flash.
Feature Comparison
| Feature | Gemini Omni 1.1 Flash | Muse Spark 1.2 |
|---|---|---|
| Provider | Meta (via Together AI) | |
| Input Price | $1.50/1M tokens | $1.25/1M tokens |
| Output Price | $17.50/1M tokens | $4.25/1M tokens |
| Context Window | 1,048,576 tokens | 1,000,000 tokens |
| Max Output | 57,920 tokens | 131,072 tokens |
| Category | flagship | coding |
| Capabilities | textvisionaudiovideo | textvisionaudiovideocodereasoning |
| Release Date | 8/27/2026 | 8/5/2026 |
Gemini Omni 1.1 Flash vs Muse Spark 1.2: Which Should You Choose?
Choosing between Gemini Omni 1.1 Flash 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 — 17% cheaper than Gemini Omni 1.1 Flash. Meanwhile, Gemini Omni 1.1 Flash offers a significantly larger context window at 1,048,576 tokens vs 1,000,000 for Muse Spark 1.2.
These models come from different providers — Google and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Google, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: Gemini Omni 1.1 Flash is a flagship model while Muse Spark 1.2 is coding. This means they're optimized for different workloads. Gemini Omni 1.1 Flash is built for complex tasks that require deeper reasoning, while Muse Spark 1.2 offers better value for routine operations.
Output costs matter too. Gemini Omni 1.1 Flash charges $17.50/1M 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 Gemini Omni 1.1 Flash when:
- • You need a larger context window (1,048,576 tokens)
- • You're already using Google's API ecosystem
Choose Muse Spark 1.2 when:
- • Budget is a primary concern
- • You need more capabilities (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
Gemini Omni 1.1 Flash
- • Input pricing: $1.50/M tokens
- • Output pricing: $17.50/M tokens
- • Context window: 1,048,576 tokens
- • Max output: 57,920 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 Gemini Omni 1.1 Flash
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini Omni 1.1 Flash (Google)
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, Gemini Omni 1.1 Flash or Muse Spark 1.2?▼
What is the context window difference between Gemini Omni 1.1 Flash 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 Google and Meta (via Together AI) API pricing beyond this model matchup?▼
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