DeepSeek V4 Pro vs Muse Spark 1.3
Pricing verdict: DeepSeek V4 Pro vs Muse Spark 1.3: DeepSeek V4 Pro is cheaper for input-heavy usage ($0.66/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 DeepSeek V4 Pro 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)
DeepSeek V4 Pro
Muse Spark 1.3
Cost Differences
Muse Spark 1.3 costs more than DeepSeek V4 Pro
Quick Recommendation
Winner for direct API pricing: DeepSeek V4 Pro. At the default workload, DeepSeek V4 Pro saves about $5.175/month ($62.9625/year) versus Muse Spark 1.3.
Feature Comparison
| Feature | DeepSeek V4 Pro | Muse Spark 1.3 |
|---|---|---|
| Provider | DeepSeek | Meta (via Together AI) |
| Input Price | $0.66/1M tokens | $1.25/1M tokens |
| Output Price | $1.98/1M tokens | $4.25/1M tokens |
| Context Window | 1,000,000 tokens | 1,048,576 tokens |
| Max Output | 384,000 tokens | 131,072 tokens |
| Category | flagship | coding |
| Capabilities | textcodereasoning | textvisionaudiovideocodereasoning |
| Release Date | 4/24/2026 | 9/2/2026 |
DeepSeek V4 Pro vs Muse Spark 1.3: Which Should You Choose?
Choosing between DeepSeek V4 Pro and Muse Spark 1.3 depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek V4 Pro is the more affordable option at $0.66/1M input tokens — 47% cheaper than Muse Spark 1.3. Meanwhile, Muse Spark 1.3 offers a significantly larger context window at 1,048,576 tokens vs 1,000,000 for DeepSeek V4 Pro.
These models come from different providers — DeepSeek and Meta (via Together AI) — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with DeepSeek, switching to Meta (via Together AI)involves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: DeepSeek V4 Pro is a flagship model while Muse Spark 1.3 is coding. This means they're optimized for different workloads. DeepSeek V4 Pro is built for complex tasks that require deeper reasoning, while Muse Spark 1.3 offers better value for routine operations.
Output costs matter too. DeepSeek V4 Pro charges $1.98/1M 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. DeepSeek V4 Pro has the edge here at $1.98/1M output tokens.
Multimodal capabilities: Muse Spark 1.3 supports vision (image inputs) while DeepSeek V4 Pro is text-only. If your application needs image understanding, this narrows your choice.
Best Use Cases
Choose DeepSeek V4 Pro when:
- • Budget is a primary concern
- • You need longer outputs (up to 384,000 tokens)
- • You're already using DeepSeek's API ecosystem
Choose Muse Spark 1.3 when:
- • You need a larger context window (1,048,576 tokens)
- • You need more capabilities (vision, audio, video)
- • You're already using Meta (via Together AI)'s API ecosystem
Pros and Caveats at a Glance
DeepSeek V4 Pro
- • Input pricing: $0.66/M tokens
- • Output pricing: $1.98/M tokens
- • Context window: 1,000,000 tokens
- • Max output: 384,000 tokens
Watch out for
- • 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 DeepSeek V4 Pro
- • Higher output cost than DeepSeek V4 Pro
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
DeepSeek V4 Pro (DeepSeek)
Muse Spark 1.3 (Meta (via Together AI))
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Sign Up for Meta (via Together AI) →Frequently Asked Questions
Which is cheaper, DeepSeek V4 Pro or Muse Spark 1.3?▼
What is the context window difference between DeepSeek V4 Pro and Muse Spark 1.3?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare DeepSeek and Meta (via Together AI) API pricing beyond this model matchup?▼
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