AI model comparison
Nemotron 3 Super vs Gemini 2.5 Flash Lite
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
Gemini 2.5 Flash Lite
Gemini 2.5 Flash-Lite is a lightweight reasoning model in the Gemini 2.5 family, optimized for ultra-low latency and cost efficiency.
Gemini 2.5 Flash Lite is scheduled to be retired on October 20, 2026. Consider Gemini 3.1 Flash Lite instead.
- Input / 1M
- $0.10
- Output / 1M
- $0.40
- Context
- 1.05M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Nemotron 3 Super
1.0x cheaper for a typical chat
Higher intelligence score
Nemotron 3 Super
12.8 vs 10.4 on Artificial Analysis
Larger context window
Gemini 2.5 Flash Lite
1.05M vs 262K tokens
Newer release
Nemotron 3 Super
Released March 11, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Gemini 2.5 Flash Lite10.4Coding index
Gemini 2.5 Flash LiteNot availableAgentic index
Gemini 2.5 Flash LiteNot availablePricing
Nemotron 3 Super vs Gemini 2.5 Flash Lite API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Gemini 2.5 Flash Lite | |
|---|---|---|
| Input tokensPer 1M tokens | $0.08 | $0.10 |
| Output tokensPer 1M tokens | $0.45 | $0.40 |
| Cached input (read)Per 1M tokens | Not available | $0.01 |
| Cache writePer 1M tokens | Not available | $0.08 |
| Web searchPer request | Not available | $0.014 |
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
Gemini 2.5 Flash Lite$0.40Coding task
30K in, 4K out
Gemini 2.5 Flash Lite$4.60$1.90 cachedLong document summary
150K in, 2K out
Gemini 2.5 Flash Lite$15.80$2.30 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Gemini 2.5 Flash Lite | |
|---|---|---|
| Context window | 262K tokens | 1.05M tokens |
| Max output | 236K tokens | 66K tokens |
| Input types | Text | Audio, File, Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Medium, Low | Not available |
| Default reasoning effort | Medium | Not available |
| Release date | March 11, 2026 | July 22, 2025 |
Features
Supported features
API features available for each model.
| Metric | Gemini 2.5 Flash Lite | |
|---|---|---|
| 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 gpt-oss-120b
- Nemotron 3 Super vs Gemma 4 31B
- Nemotron 3 Super vs GPT-5 Nano
- Nemotron 3 Super vs GLM 4.7 Flash
- 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
Gemini 2.5 Flash LiteView full model details- Gemini 2.5 Flash Lite vs gpt-oss-120b
- Gemini 2.5 Flash Lite vs Gemma 4 31B
- Gemini 2.5 Flash Lite vs Gemma 4 26B A4B
- Gemini 2.5 Flash Lite vs gpt-oss-20b
- Gemini 2.5 Flash Lite vs GPT-5 Nano
- Gemini 2.5 Flash Lite vs GPT-4.1 Mini
- Gemini 2.5 Flash Lite vs Qwen3 235B A22B Instruct 2507
- Gemini 2.5 Flash Lite vs Gemma 3 27B
- Gemini 2.5 Flash Lite vs Mercury 2.5
- Gemini 2.5 Flash Lite vs Qwen3 30B A3B Instruct 2507
- Gemini 2.5 Flash Lite vs Llama 3.3 70B Instruct
- Gemini 2.5 Flash Lite vs Qwen3.5-9B
- Gemini 2.5 Flash Lite vs Nemotron 3.5 Lightning
- Gemini 2.5 Flash Lite vs Qwen3 Coder Next
- Gemini 2.5 Flash Lite vs DeepSeek V3 0324
- Gemini 2.5 Flash Lite vs GPT-4.1 Nano
- Gemini 2.5 Flash Lite vs Granite 4.2 8B
- Gemini 2.5 Flash Lite vs Llama 4 Maverick
- Gemini 2.5 Flash Lite vs Qwen3 32B
- Gemini 2.5 Flash Lite vs Qwen3 Coder 480B A35B
- Gemini 2.5 Flash Lite vs GLM 4.7 Flash
- Gemini 2.5 Flash Lite vs DeepSeek V3.2 Exp
- Gemini 2.5 Flash Lite vs GLM 4.5 Air
- Gemini 2.5 Flash Lite vs Gemma 3 12B
- Gemini 2.5 Flash Lite vs Mistral Small 4
- Gemini 2.5 Flash Lite vs Llama 4 Scout
- Gemini 2.5 Flash Lite vs Qwen3 Coder 30B A3B Instruct
- Gemini 2.5 Flash Lite vs Qwen3 14B
- Gemini 2.5 Flash Lite vs Nemotron 3 Nano 30B A3B
- Gemini 2.5 Flash Lite vs Qwen2.5 72B Instruct
- Gemini 2.5 Flash Lite vs Mercury 2
- Gemini 2.5 Flash Lite vs Llama 3.1 70B Instruct
- Gemini 2.5 Flash Lite vs GLM 4.6V
- Gemini 2.5 Flash Lite vs Trinity Large Thinking
- Gemini 2.5 Flash Lite vs Solar Pro 3
Our take
Nemotron 3 Super is 1.0x cheaper for a typical chat. Nemotron 3 Super scores higher on the Artificial Analysis Intelligence Index (12.8 vs 10.4). Gemini 2.5 Flash Lite has the larger context window (1.05M vs 262K 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 Gemini 2.5 Flash Lite cheaper?
Nemotron 3 Super is cheaper for a typical chat (2K input tokens and 500 output tokens). Nemotron 3 Super costs $0.08 per 1M input tokens and $0.45 per 1M output tokens, while Gemini 2.5 Flash Lite costs $0.10 per 1M input tokens and $0.40 per 1M output tokens.
Which has a bigger context window, Nemotron 3 Super or Gemini 2.5 Flash Lite?
Gemini 2.5 Flash Lite supports up to 1.05M tokens of context, compared with 262K for Nemotron 3 Super.
Is Nemotron 3 Super smarter than Gemini 2.5 Flash Lite?
On the Artificial Analysis Intelligence Index, Nemotron 3 Super scores 12.8 and Gemini 2.5 Flash Lite scores 10.4, putting Nemotron 3 Super ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Nemotron 3 Super and Gemini 2.5 Flash Lite at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Nemotron 3 Super and Gemini 2.5 Flash Lite answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nemotron 3 Super and Gemini 2.5 Flash Lite at the same time. Compare the answers side by side and keep the best one.