# DeepSeek V4 Pro vs Muse Glimmer

> DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 41.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/deepseek-v4-pro-vs-muse-glimmer
- Last updated: 2026-10-10
- Shared benchmarks: 13

## Summary

- They share 13 benchmarks with published results for both. DeepSeek V4 Pro scores higher in 8 categories and Muse Glimmer in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.4 to 27.2.

## Snapshot

| | DeepSeek V4 Pro | Muse Glimmer |
|---|---|---|
| Provider | DeepSeek | Meta |
| Noometry Index | 54.2 | 41.3 |
| Rank | 28 | 128 |
| Context | 1M | — |
| Input $/M | $0.43 | — |
| Output $/M | $0.87 | — |
| Weights | Open | Open |

## Coding

- DeepSeek V4 Pro: 52.2 (#31)
- Muse Glimmer: 38.7 (#157)

| Benchmark | DeepSeek V4 Pro | Muse Glimmer |
|---|---|---|
| LMArena WebDev | 1582 | 1355 |
| LMArena Coding | 1470 | 1417 |
| SWE-bench Verified | 77.6% | — |
| FrontierCode | 28.6% | — |
| SciCode | 51% | — |
| WeirdML | 66.2% | — |
| ALE-Bench | 1,403 | — |

## Agentic & Tool Use

- DeepSeek V4 Pro: 32.7 (#54)
- Muse Glimmer: —

| Benchmark | DeepSeek V4 Pro | Muse Glimmer |
|---|---|---|
| APEX-Agents | 47.3% | — |
| Vending-Bench 2 | 3,285 | — |

## Reasoning

- DeepSeek V4 Pro: 56.4 (#22)
- Muse Glimmer: 27.2 (#111)

| Benchmark | DeepSeek V4 Pro | Muse Glimmer |
|---|---|---|
| LMArena Hard Prompts | 1461 | 1395 |
| ARC-AGI-2 | 61.3% | — |
| Kagi LLM Benchmark | 53.5% | — |
| NYT Connections (extended) | 91.3% | — |
| ARC-AGI-1 | 90.5% | — |
| CritPt | 18% | — |
| Chess Puzzles | 47% | — |
| Mystery Game Puzzles | 43% | — |
| DTBench | 93.9% | — |
| LMCA | 45.5% | — |
| Surface Evolver Bench | 40% | — |
| Epoch Capabilities Index | 155.39 | — |
| ForecastBench | 56.1 | — |

## Math

- DeepSeek V4 Pro: 64.6 (#24)
- Muse Glimmer: 36.1 (#128)

| Benchmark | DeepSeek V4 Pro | Muse Glimmer |
|---|---|---|
| LMArena Math | 1455 | 1419 |
| FrontierMath (Tiers 1-3) | 64.6% | — |
| FrontierMath Tier 4 | 26.8% | — |
| MathArena Final-Answer Competitions | 76.6% | — |
| OTIS Mock AIME 2024-2025 | 98.6% | — |
| ProofBench | 50% | — |

## Knowledge

- DeepSeek V4 Pro: 59.5 (#28)
- Muse Glimmer: 37.9 (#140)

| Benchmark | DeepSeek V4 Pro | Muse Glimmer |
|---|---|---|
| LMArena Expert | 1463 | 1388 |
| GPQA Diamond | 91.7% | — |
| SimpleQA Verified | 52.9% | — |
| Vectara Hallucination Rate | 8.6% | — |

## Multilingual

- DeepSeek V4 Pro: 54.5 (#44)
- Muse Glimmer: 50.6 (#117)

| Benchmark | DeepSeek V4 Pro | Muse Glimmer |
|---|---|---|
| LMArena Non-English | 1438 | 1384 |
| LMArena Chinese | 1486 | 1412 |
| LMArena Russian | 1452 | 1393 |
| LMArena French | 1473 | — |
| LMArena German | 1458 | — |
| LMArena Japanese | 1448 | — |
| LMArena Korean | 1452 | — |
| LMArena Spanish | 1457 | — |

## Instruction Following

- DeepSeek V4 Pro: 76.3 (#44)
- Muse Glimmer: 72.7 (#134)

| Benchmark | DeepSeek V4 Pro | Muse Glimmer |
|---|---|---|
| LMArena Instruction Following | 1448 | 1374 |

## Long Context

- DeepSeek V4 Pro: 45.0 (#49)
- Muse Glimmer: 42.1 (#124)

| Benchmark | DeepSeek V4 Pro | Muse Glimmer |
|---|---|---|
| LMArena Longer Query | 1459 | 1381 |
| CL-bench Life | 13.5% | — |

## Writing & Preference

- DeepSeek V4 Pro: 65.6 (#45)
- Muse Glimmer: 57.7 (#122)

| Benchmark | DeepSeek V4 Pro | Muse Glimmer |
|---|---|---|
| LMArena Text | 1451 | 1389 |
| LMArena Creative Writing | 1446 | 1338 |
| LMArena Multi-Turn | 1467 | 1398 |
| EQ-Bench Creative Writing | 1553 | — |
| EQ-Bench 4 | 1166 | — |

## FAQ

### Is DeepSeek V4 Pro better than Muse Glimmer?

DeepSeek V4 Pro is the stronger model overall, scoring 54.2 to 41.3 on the Noometry Index.

### Is DeepSeek V4 Pro or Muse Glimmer better for coding?

DeepSeek V4 Pro scores higher on coding benchmarks: 52.2 versus 38.7 in the Noometry coding category.

### How many benchmarks do DeepSeek V4 Pro and Muse Glimmer share?

13 benchmarks have published results for both models. DeepSeek V4 Pro has 48 scored results on Noometry and Muse Glimmer has 13.