AI model comparison
Nemotron 3 Super vs GLM 4.7 Flash
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
NVIDIA
Nemotron 3 Super
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
- $0.08
- Output / 1M
- $0.45
- Context
- 262K
Z.ai
GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency.
- Input / 1M
- $0.06
- Output / 1M
- $0.40
- Context
- 200K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 4.7 Flash
1.2x cheaper for a typical chat
Higher intelligence score
GLM 4.7 Flash
14.9 vs 12.8 on Artificial Analysis
Larger context window
Nemotron 3 Super
262K vs 200K 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 4.7 Flash API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.08 | $0.06 |
| Output tokensPer 1M tokens | $0.45 | $0.40 |
| Cached input (read)Per 1M tokens | Not available | Not available |
| 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 | 200K tokens |
| Max output | 236K tokens | 118K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Medium, Low | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | March 11, 2026 | January 19, 2026 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Nemotron 3 Super vs Gemini 2.5 Flash Lite
- Nemotron 3 Super vs gpt-oss-120b
- Nemotron 3 Super vs Gemma 4 31B
- Nemotron 3 Super vs GPT-5 Nano
- Nemotron 3 Super vs Qwen3 235B A22B Instruct 2507
- Nemotron 3 Super vs Mercury 2
- Nemotron 3 Super vs DeepSeek V3.1
- Nemotron 3 Super vs Nemotron 3.5 Lightning
- Nemotron 3 Super vs Mercury 2.5
- Nemotron 3 Super vs Mistral Small 4
- Nemotron 3 Super vs Nemotron 3 Nano 30B A3B
- GLM 4.7 Flash vs Gemini 2.5 Flash Lite
- GLM 4.7 Flash vs Gemini 3.1 Flash Lite
- GLM 4.7 Flash vs Gemma 4 31B
- GLM 4.7 Flash vs Gemma 4 26B A4B
- GLM 4.7 Flash vs GPT-5 Nano
- GLM 4.7 Flash vs Step 3.5 Flash
- GLM 4.7 Flash vs DeepSeek V3.2 Exp
- GLM 4.7 Flash vs DeepSeek V3.1
- GLM 4.7 Flash vs Qwen3 235B A22B Instruct 2507
- GLM 4.7 Flash vs GLM 4.5 Air
Our take
GLM 4.7 Flash is 1.2x cheaper for a typical chat. GLM 4.7 Flash scores higher on the Artificial Analysis Intelligence Index (14.9 vs 12.8). Nemotron 3 Super has the larger context window (262K vs 200K 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 4.7 Flash cheaper?
GLM 4.7 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 4.7 Flash costs $0.06 per 1M input tokens and $0.40 per 1M output tokens, while Nemotron 3 Super costs $0.08 per 1M input tokens and $0.45 per 1M output tokens.
Which has a bigger context window, Nemotron 3 Super or GLM 4.7 Flash?
Nemotron 3 Super supports up to 262K tokens of context, compared with 200K for GLM 4.7 Flash.
Is Nemotron 3 Super smarter than GLM 4.7 Flash?
On the Artificial Analysis Intelligence Index, Nemotron 3 Super scores 12.8 and GLM 4.7 Flash scores 14.9, putting GLM 4.7 Flash ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Nemotron 3 Super and GLM 4.7 Flash at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Nemotron 3 Super and GLM 4.7 Flash answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nemotron 3 Super and GLM 4.7 Flash at the same time. Compare the answers side by side and keep the best one.