Llama 3.1 405B vs Muse Spark 1.2
Pricing verdict: Llama 3.1 405B vs Muse Spark 1.2: Muse Spark 1.2 is cheaper for input-heavy usage ($1.25/M vs $3.50/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)
Llama 3.1 405B
Muse Spark 1.2
Cost Differences
Muse Spark 1.2 costs less than Llama 3.1 405B
Quick Recommendation
Winner for direct API pricing: Muse Spark 1.2. At the default workload, Muse Spark 1.2 saves about $5.625/month ($68.4375/year) versus Llama 3.1 405B.
Feature Comparison
| Feature | Llama 3.1 405B | Muse Spark 1.2 |
|---|---|---|
| Provider | Meta (via Together AI) | Meta (via Together AI) |
| Input Price | $3.50/1M tokens | $1.25/1M tokens |
| Output Price | $3.50/1M tokens | $4.25/1M tokens |
| Context Window | 128,000 tokens | 1,000,000 tokens |
| Max Output | 32,768 tokens | 131,072 tokens |
| Category | flagship | coding |
| Capabilities | textcodereasoning | textvisionaudiovideocodereasoning |
| Release Date | 7/23/2024 | 8/5/2026 |
Llama 3.1 405B vs Muse Spark 1.2: Which Should You Choose?
Choosing between Llama 3.1 405B 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 — 64% cheaper than Llama 3.1 405B. Meanwhile, Muse Spark 1.2 offers a significantly larger context window at 1,000,000 tokens vs 128,000 for Llama 3.1 405B.
These models target different tiers: Llama 3.1 405B is a flagship model while Muse Spark 1.2 is coding. This means they're optimized for different workloads. Llama 3.1 405B is built for complex tasks that require deeper reasoning, while Muse Spark 1.2 offers better value for routine operations.
Output costs matter too. Llama 3.1 405B charges $3.50/1M 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. Llama 3.1 405B has the edge here at $3.50/1M output tokens.
Multimodal capabilities: Muse Spark 1.2 supports vision (image inputs) while Llama 3.1 405B is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose Llama 3.1 405B when:
- • You're already using Meta (via Together AI)'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 (vision, audio, video)
- • 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
Llama 3.1 405B
- • Input pricing: $3.50/M tokens
- • Output pricing: $3.50/M tokens
- • Context window: 128,000 tokens
- • Max output: 32,768 tokens
Watch out for
- • Higher input 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
- • Higher output cost than Llama 3.1 405B
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Llama 3.1 405B (Meta (via Together AI))
Muse Spark 1.2 (Meta (via Together AI))
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What is the context window difference between Llama 3.1 405B and Muse Spark 1.2?▼
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