Gemini 3.8 Flash vs Muse Spark 1.3: Google Cloud Speed Demon vs Meta Open-Weights Flagship
Gemini 3.8 Flash vs Muse Spark 1.3: Compare 348-620 tok/s vs 245 tok/s, Terminal-Bench (90.8% vs 84.1%), open-weights deployment, and API pricing ($1.12 vs $1.58).
Gemini 3.8 Flash
by Google
Google's breakthrough high-speed frontier model with autonomous agentic intelligence, 1M token multimodal context, 90.8% Terminal-Bench 2.1 shell coding, and 348–620 tokens/sec generation throughput.
View model detailsMuse Spark 1.3
by Meta
Meta's frontier open-weights flagship model with dual Max and XHigh execution engines, deep Muse Code IDE integration, 245 tok/s throughput, and 68.2% DeepSWE coding score.
View model detailsOur Pick: Gemini 3.8 Flash
Gemini 3.8 Flash takes the top spot for hosted production systems and autonomous agents due to its 348–620 tok/s speed, 90.8% Terminal-Bench score, native video processing, and lower pricing ($1.12/M vs $1.58/M). However, Muse Spark 1.3 is an extraordinary win for the open-weights community, giving organizations sovereign control without reliance on proprietary cloud APIs.
Benchmark Performance
Side-by-side results on major industry benchmarks (higher is better)
Feature Comparison
Compare core capabilities and tool support.
| Feature | Gemini 3.8 Flash | Muse Spark 1.3 |
|---|---|---|
| Text & Code Generation | ||
| Image & Vision Understanding | ||
| Video & Audio Generation | ||
| Web Browsing / Search | ||
| Code Execution Environment | ||
| Autonomous Computer Use | ||
| Long Context Window | ||
| Multi-step Agentic Workflows | ||
| Custom Bots / Extensions | ||
| Fine-tuning |
Use Case Ratings
How each model performs in real-world scenarios (1-10).
| Use Case | Gemini 3.8 Flash | Muse Spark 1.3 |
|---|---|---|
| Coding & Development | 10 | 9 |
| Writing & Content Creation | 8 | 8 |
| Research & Analysis | 9 | 9 |
| Creative Tasks | 8 | 8 |
| Data Analysis | 10 | 9 |
| Conversation & Nuance | 9 | 9 |
| Education & Tutoring | 9 | 9 |
| Math & Science | 10 | 9 |
| Summarization | 10 | 9 |
Pricing Comparison(Per 1M Tokens)
| Model | Input Tokens | Output Tokens | Blended Cost | Monthly (100M tokens) |
|---|---|---|---|---|
| Gemini 3.8 Flash | $0.75 | $3.75 | ~$1.50 | ~$150 |
| Muse Spark 1.3 | $0.50 | $2.20 | ~$0.93 | ~$93 |
Muse Spark 1.3 is 38% cheaper
For the same performance tier, Muse Spark 1.3 offers exactly half the API cost of Gemini 3.8 Flash.
Pros & Cons
Gemini 3.8 Flash
- Industry-leading 90.8% on Terminal-Bench 2.1 for autonomous shell & terminal coding
- Record-breaking throughput (348 tok/s high thinking, up to 620 tok/s burst)
- 1.0M native multimodal context window accepting 1 hour of video & full codebases
- Extremely competitive pricing ($0.75 input / $3.75 output per 1M tokens)
- 64,000 max output tokens for full multi-file code synthesis in a single turn
- Proprietary hosted API without open weights for on-prem self-hosting
- Thinking trace mode increases latency compared to raw zero-shot completion
Muse Spark 1.3
- Dual Max and XHigh execution profiles for adaptive latency/reasoning balancing
- Permissive open-weights license for self-hosting on private cloud hardware
- Seamless integration with Meta's Muse Code developer environment
- Fast 245 tokens/second throughput in XHigh profile
- Terminal-Bench 2.1 (84.1%) and DeepSWE (68.2%) lag behind Gemini 3.8 Flash
- Blended API cost ($1.58/M) is 41% higher than Gemini 3.8 Flash ($1.12/M)
- No native video or audio ingestion capabilities
Frequently Asked Questions
What is the difference between Muse Spark 1.3 Max and XHigh?
Muse Spark 1.3 features two execution profiles: XHigh is optimized for rapid generation (245 tok/s) with low latency, while Max utilizes deeper reasoning iterations for complex software refactoring and difficult math problems.
Is Gemini 3.8 Flash cheaper than Muse Spark 1.3?
When using hosted cloud APIs, yes. Gemini 3.8 Flash costs $0.75 input / $3.75 output ($1.12/M blended), while Muse Spark 1.3 API costs $0.50 input / $2.20 output ($1.58/M blended). However, Muse Spark 1.3 weights can be downloaded and self-hosted for free.
Does Muse Spark 1.3 support video analysis?
No. Muse Spark 1.3 currently supports text and static images. Gemini 3.8 Flash natively supports both video (up to 1 hour) and audio files.
Final Takeaway
Choose Muse Spark 1.3 if you require open-weights flexibility for private enterprise clusters, native integration with Meta's Muse Code developer ecosystem, or the ability to switch dynamically between Max reasoning and XHigh latency profiles. Choose Gemini 3.8 Flash for unmatched raw throughput (348–620 tok/s), industry-leading autonomous shell execution (90.8% Terminal-Bench), native video processing, and 29% lower API pricing ($1.12/M vs $1.58/M).
Detailed In-Depth Analysis
Open Weights Innovation vs Cloud-Native Acceleration
Both Gemini 3.8 Flash and Muse Spark 1.3 landed in September 2026 as answer to developers demanding faster, smarter, and cheaper models:
- Meta's Dual-Engine Innovation: Muse Spark 1.3 introduces a novel dual-engine profile:
- XHigh Engine: Focuses on raw throughput, achieving 245 tokens per second for quick autocomplete and inline code edits.
- Max Engine: Engages deeper multi-path reasoning for intricate debugging, scoring 68.2% on DeepSWE v1.1.
- Because Meta releases the model under an open license, organizations can host both profiles on private enterprise infrastructure.
- Google's TPU v6e Optimization: Gemini 3.8 Flash achieves superior numbers on both sides of the equation. It generates between 348 and 620 tokens per second while simultaneously scoring 71.0% on DeepSWE v1.1 and 90.8% on Terminal-Bench 2.1.
Workload Alignment: When to Choose Which
- Choose Muse Spark 1.3 if: Your engineering organization requires on-premise deployments, wants to avoid vendor lock-in with Google Cloud, or is building extensions natively inside the Muse Code ecosystem.
- Choose Gemini 3.8 Flash if: You want the absolute fastest generation speed on the market, need native video/audio understanding, require state-of-the-art terminal command automation, or want to minimize hosted API bills ($1.12/M vs $1.58/M).