Model decision surface
Compare AI models
Start with DeepSeek V4 Flash 0731 and Muse Spark 1.3, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
DeepSeek V4 Flash 0731 vs Muse Spark 1.3
Live dataset updated 9/9/2026, 8:46:14 PM UTC
Open 1200×630 evidence receipt| Field | DeepSeek V4 Flash 0731 DeepSeek | Muse Spark 1.3 Meta |
|---|---|---|
| ModelCap position | #24 | #2 |
| Index score | 70.7 | 88.7 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.065 | $1.25 |
| Output / 1M | $0.18 | $4.25 |
| Pricing status | fresh | fresh |
| Context | 1.3M | 1M |
| Providers | 28 | 1 |
| Weight access | Open weights | API only |
Decision facts
- DeepSeek V4 Flash 0731 is #24; Muse Spark 1.3 is #2 on the same current language board.
- Index scores are 70.7 for DeepSeek V4 Flash 0731 and 88.7 for Muse Spark 1.3. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.18 for DeepSeek V4 Flash 0731 and $4.25 for Muse Spark 1.3. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.22 for DeepSeek V4 Flash 0731 versus $4.63 for Muse Spark 1.3. DeepSeek V4 Flash 0731 costs 95.2% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 1,310,720 tokens for DeepSeek V4 Flash 0731 and 1,048,576 for Muse Spark 1.3.
- Weight access differs: DeepSeek V4 Flash 0731 is open; Muse Spark 1.3 is none.
- ModelCap currently lists 28 providers for DeepSeek V4 Flash 0731 and 1 for Muse Spark 1.3.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.