Gemini 3.8 Live vs Muse Spark 1.3
Pricing verdict: Gemini 3.8 Live vs Muse Spark 1.3: Gemini 3.8 Live is cheaper for input-heavy usage ($0.75/M vs $1.25/M input tokens), while Muse Spark 1.3 is better for long-context tasks (1,048,576 tokens).
Direct answer: choose Gemini 3.8 Live for lower token spend and choose Muse Spark 1.3 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 3.8 Live
Muse Spark 1.3
Cost Differences
Muse Spark 1.3 costs more than Gemini 3.8 Live
Quick Recommendation
Winner for direct API pricing: Gemini 3.8 Live. At the default workload, Gemini 3.8 Live saves about $1.125/month ($13.6875/year) versus Muse Spark 1.3.
Feature Comparison
| Feature | Gemini 3.8 Live | Muse Spark 1.3 |
|---|---|---|
| Provider | Meta (via Together AI) | |
| Input Price | $0.75/1M tokens | $1.25/1M tokens |
| Output Price | $4.50/1M tokens | $4.25/1M tokens |
| Context Window | 131,072 tokens | 1,048,576 tokens |
| Max Output | 65,536 tokens | 131,072 tokens |
| Category | balanced | coding |
| Capabilities | textvisionaudiovideoreasoningstreaming | textvisionaudiovideocodereasoning |
| Release Date | 9/15/2026 | 9/2/2026 |
Gemini 3.8 Live vs Muse Spark 1.3: Which Should You Choose?
Choosing between Gemini 3.8 Live and Muse Spark 1.3 depends on your priorities: cost efficiency, context length, or raw capability. Gemini 3.8 Live is the more affordable option at $0.75/1M input tokens — 40% cheaper than Muse Spark 1.3. Meanwhile, Muse Spark 1.3 offers a significantly larger context window at 1,048,576 tokens vs 131,072 for Gemini 3.8 Live.
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 3.8 Live is a balanced model while Muse Spark 1.3 is coding. This means they're optimized for different workloads. Muse Spark 1.3 targets more demanding workloads, while Gemini 3.8 Live provides a cost-effective option for everyday tasks.
Output costs matter too. Gemini 3.8 Live charges $4.50/1M output tokens vs $4.25 for Muse Spark 1.3. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Muse Spark 1.3 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 3.8 Live when:
- • Budget is a primary concern
- • You're already using Google's API ecosystem
Choose Muse Spark 1.3 when:
- • You need a larger context window (1,048,576 tokens)
- • 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 3.8 Live
- • Input pricing: $0.75/M tokens
- • Output pricing: $4.50/M tokens
- • Context window: 131,072 tokens
- • Max output: 65,536 tokens
Watch out for
- • Higher output cost than Muse Spark 1.3
- • 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
- • Higher input cost than Gemini 3.8 Live
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Gemini 3.8 Live (Google)
Muse Spark 1.3 (Meta (via Together AI))
Start using Gemini 3.8 Live today
Sign Up for Google →Start using Muse Spark 1.3 today
Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, Gemini 3.8 Live or Muse Spark 1.3?▼
What is the context window difference between Gemini 3.8 Live and Muse Spark 1.3?▼
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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