Compare / head-to-head
GLM-5.1vsNVIDIA Nemotron 3 Nano 30B-A3B BF16
GLM-5.1 leads 1 of 1 shared benchmark. NVIDIA Nemotron 3 Nano 30B-A3B BF16 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
1 – 0
GLM-5.1 leads
Cheaper per token
—
list price, input + output
Larger context
NVIDIA Nemotron 3 Nano 30B-A3B BF16
1M tokens
Provider uptime (30d)
— · 100%
Z.ai · NVIDIA
GLM-5.1
Z.ai · released 2026-04-07
text
NVIDIA Nemotron 3 Nano 30B-A3B BF16
NVIDIA · released 2025-12-15
text
- Context
- 1M
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 10 · 9 core
Quality
Benchmark matrix
1 shared · 6 only GLM-5.1 · 9 only NVIDIA Nemotron 3 Nano 30B-A3B BF16| Benchmark | GLM-5.1 | NVIDIA Nemotron 3 Nano 30B-A3B BF16 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| LMArena Elo | 1462.4 ↗ | 1348.4 ↗ | +114 | GLM-5.1 |
| Only GLM-5.1 reports · 6 | ||||
| GPQA Diamond | 89.9% ↗epoch | not reported | — | — |
| AIME 2026 | 95.8% ↗matharena ⚠ | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 36.8% ↗epoch | not reported | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 93.3% ↗epoch | not reported | — | — |
| SimpleQA Verified | 34% ↗epoch | not reported | — | — |
| SWE-bench Verified (Epoch AI run) | 74.2% ↗epoch | not reported | — | — |
| Only NVIDIA Nemotron 3 Nano 30B-A3B BF16 reports · 9 | ||||
| MMLU-Pro | not reported | 78.3% ↗ | — | — |
| AIME 2025 | not reported | 89.1% ↗ | — | — |
| Humanity's Last Exam (no tools) | not reported | 10.6% ↗ | — | — |
| AIME 2025 (with tools) | not reported | 99.2% ↗ | — | — |
| GPQA (no tools) | not reported | 73% ↗ | — | — |
| GPQA (with tools) | not reported | 75% ↗ | — | — |
| Humanity's Last Exam (with tools) | not reported | 15.5% ↗ | — | — |
| LiveCodeBench | not reported | 68.3% ↗ | — | — |
| SWE-Bench (OpenHands) | not reported | 38.8% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is GLM-5.1 minus NVIDIA Nemotron 3 Nano 30B-A3B BF16 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | GLM-5.1 | NVIDIA Nemotron 3 Nano 30B-A3B BF16 | Edge |
|---|---|---|---|
| Context window | 200K tokens | 1M tokens | NVIDIA Nemotron 3 Nano 30B-A3B BF16 |
| Max output | 131K tokens | — | — |
| Input price / 1M | $1.4 ↗ | — | — |
| Output price / 1M | $4.4 ↗ | — | — |
| Cached input / 1M | $0.26 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $5.8 | — | — |
| Modalities | text | text | Tie |
| Released | 2026-04-07 | 2025-12-15 | — |
| Cited benchmark scores | 7 | 10 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GLM-5.1 vs …
Models sharing the most benchmarksMore matchups
NVIDIA Nemotron 3 Nano 30B-A3B BF16 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GLM-5.1 and NVIDIA Nemotron 3 Nano 30B-A3B BF16 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.