AI model comparison
Mercury 2.5 vs Nemotron 3 Super
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Inception
Mercury 2.5
Mercury 2.5 is the fastest reasoning LLM, and the latest diffusion LLM (dLLM) from Inception.
- Input / 1M
- $0.04
- Output / 1M
- $0.15
- Context
- 260K
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
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mercury 2.5
2.5x cheaper for a typical chat
Higher intelligence score
Nemotron 3 Super
12.8 vs 12.3 on Artificial Analysis
Larger context window
Nemotron 3 Super
262K vs 260K tokens
Newer release
Mercury 2.5
Released September 8, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mercury 2.512.3Coding index
Mercury 2.5Not availableAgentic index
Mercury 2.5Not availablePricing
Mercury 2.5 vs Nemotron 3 Super API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mercury 2.5 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.04 | $0.08 |
| Output tokensPer 1M tokens | $0.15 | $0.45 |
| Cached input (read)Per 1M tokens | $0.00 | 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
Mercury 2.5$0.16Coding task
30K in, 4K out
Mercury 2.5$1.80$0.72 cachedLong document summary
150K in, 2K out
Mercury 2.5$6.30$0.90 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Mercury 2.5 | |
|---|---|---|
| Context window | 260K tokens | 262K tokens |
| Max output | 66K tokens | 236K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | High, Medium, Low, None | Medium, Low |
| Default reasoning effort | Medium | Medium |
| Release date | September 8, 2026 | March 11, 2026 |
Features
Supported features
API features available for each model.
| Metric | Mercury 2.5 | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Not 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 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 Mistral Small 4
- Nemotron 3 Super vs Nemotron 3 Nano 30B A3B
Our take
Mercury 2.5 is 2.5x cheaper for a typical chat. Nemotron 3 Super scores higher on the Artificial Analysis Intelligence Index (12.8 vs 12.3). Nemotron 3 Super has the larger context window (262K vs 260K 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 Mercury 2.5 or Nemotron 3 Super cheaper?
Mercury 2.5 is cheaper for a typical chat (2K input tokens and 500 output tokens). Mercury 2.5 costs $0.04 per 1M input tokens and $0.15 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, Mercury 2.5 or Nemotron 3 Super?
Nemotron 3 Super supports up to 262K tokens of context, compared with 260K for Mercury 2.5.
Is Mercury 2.5 smarter than Nemotron 3 Super?
On the Artificial Analysis Intelligence Index, Mercury 2.5 scores 12.3 and Nemotron 3 Super scores 12.8, putting Nemotron 3 Super ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Mercury 2.5 and Nemotron 3 Super at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Mercury 2.5 and Nemotron 3 Super answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Mercury 2.5 and Nemotron 3 Super at the same time. Compare the answers side by side and keep the best one.