DeepSeek-V4-Pro-0813 vs Muse Glimmer-30B: Specs & Benchmark Comparison
| Characteristic | DeepSeek-V4-Pro-0813 | Muse Glimmer-30B |
|---|---|---|
| Company | DeepSeek | Meta |
| Release Date | August 13, 2026 | August 10, 2026 |
| Parameters | 1.6T | 30B |
| Multimodal | No | Yes |
| Context (input) | 1.0M | — |
| Context (output) | 393K | — |
| Input Price / 1M | $1.32 | — |
| Output Price / 1M | $3.96 | — |
| Average Score | 0.8 | 0.7 |
| Benchmarks | ||
| Terminal-Bench 2.1 | 0.9 | 0.5 |
Visual Benchmark Comparison
DeepSeek-V4-Pro-0813
Muse Glimmer-30B
Terminal-Bench 2.10.9 vs 0.5
0.9
0.5
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: DeepSeek-V4-Pro-0813 — 0.8, Muse Glimmer-30B — 0.7.
Recency
Both models were released around the same time: 8/13/2026 and 8/10/2026.
More About These Models
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Frequently Asked Questions
Which is better for coding — DeepSeek-V4-Pro-0813 or Muse Glimmer-30B?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Pro-0813 or Muse Glimmer-30B?
API pricing data is available on the individual model pages.
Which has a larger context window — DeepSeek-V4-Pro-0813 or Muse Glimmer-30B?
Context window data is available on the individual model pages.
The DeepSeek-V4-Pro-0813 and Muse Glimmer-30B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Pro-0813 or Muse Glimmer-30B page. See also the complete list of AI model comparisons.