AI model comparison
Nemotron 3 Super vs GLM 4.5
Side by side comparison of Nemotron 3 Super and GLM 4.5 on pricing, benchmark scores, context window, and more.
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications.
- Input / 1M
- $0.30
- Output / 1M
- $2.40
- Context
- 262K
GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens.
GLM 4.5 is scheduled to be retired on December 31, 2026. Consider GLM 5.3 instead.
- Input / 1M
- $0.60
- Output / 1M
- $2.20
- Context
- 131K
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At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Nemotron 3 Super
1.3x cheaper for a typical chat
Higher intelligence score
Tie
Both scored 12.8 on Artificial Analysis
Larger context window
Nemotron 3 Super
262K vs 131K tokens
Newer release
Nemotron 3 Super
Released March 11, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Nemotron 3 Super vs GLM 4.5 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.30 | $0.60 |
| Output tokensPer 1M tokens | $2.40 | $2.20 |
| Cached input (read)Per 1M tokens | $0.15 | $0.11 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 262K tokens | 131K tokens |
| Max output | 236K tokens | 98K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Medium, Low, None | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | March 11, 2026 | July 25, 2025 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Not supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
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Our take
Nemotron 3 Super is 1.3x cheaper for a typical chat. Nemotron 3 Super has the larger context window (262K vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Nemotron 3 Super or GLM 4.5 cheaper?
Nemotron 3 Super is cheaper for a typical chat (2K input tokens and 500 output tokens). Nemotron 3 Super costs $0.30 per 1M input tokens and $2.40 per 1M output tokens, while GLM 4.5 costs $0.60 per 1M input tokens and $2.20 per 1M output tokens.
Which has a bigger context window, Nemotron 3 Super or GLM 4.5?
Nemotron 3 Super supports up to 262K tokens of context, compared with 131K for GLM 4.5.
Is Nemotron 3 Super smarter than GLM 4.5?
On the Artificial Analysis Intelligence Index, Nemotron 3 Super and GLM 4.5 both score 12.8. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Nemotron 3 Super and GLM 4.5 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Nemotron 3 Super and GLM 4.5 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nemotron 3 Super and GLM 4.5 at the same time. Compare the answers side by side and keep the best one.