AI model comparison
Nemotron 3 Ultra vs Qwen3.5-27B
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
NVIDIA
Nemotron 3 Ultra
NVIDIA Nemotron 3 Ultra is an open frontier-reasoning and orchestration model from NVIDIA, with 55B active parameters out of 550B total (MoE).
- Input / 1M
- $0.50
- Output / 1M
- $2.20
- Context
- 262K
Qwen
Qwen3.5-27B
The Qwen3.5 27B native vision-language Dense model incorporates a linear attention mechanism, delivering fast response times while balancing inference speed and performance.
- Input / 1M
- $0.26
- Output / 1M
- $2.60
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Qwen3.5-27B
1.2x cheaper for a typical chat
Higher intelligence score
Tie
22.9 vs 22.9 on Artificial Analysis
Larger context window
Tie
262K vs 262K tokens
Newer release
Nemotron 3 Ultra
Released June 4, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.5-27B22.9Coding index
Qwen3.5-27BNot availableAgentic index
Qwen3.5-27BNot availablePricing
Nemotron 3 Ultra vs Qwen3.5-27B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.5-27B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.50 | $0.26 |
| Output tokensPer 1M tokens | $2.20 | $2.60 |
| Cached input (read)Per 1M tokens | $0.10 | 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
Qwen3.5-27B$1.82Coding task
30K in, 4K out
Qwen3.5-27B$18.20Long document summary
150K in, 2K out
Qwen3.5-27B$44.20Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.5-27B | |
|---|---|---|
| Context window | 262K tokens | 262K tokens |
| Max output | 16K tokens | 82K tokens |
| Input types | Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | High, Medium | Not available |
| Default reasoning effort | High | Not available |
| Release date | June 4, 2026 | February 25, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.5-27B | |
|---|---|---|
| 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 Ultra vs DeepSeek V4 Flash 0423
- Nemotron 3 Ultra vs Gemini 3 Flash Preview
- Nemotron 3 Ultra vs Grok 4.3
- Nemotron 3 Ultra vs GPT-5.4 Mini
- Nemotron 3 Ultra vs Kimi K2.5
- Nemotron 3 Ultra vs MiniMax M2.5
- Nemotron 3 Ultra vs Gemini 3.5 Flash Lite
- Nemotron 3 Ultra vs GLM 4.7
- Nemotron 3 Ultra vs Kimi K2 Thinking
- Nemotron 3 Ultra vs Qwen3.6 27B
- Nemotron 3 Ultra vs GPT-5 Mini
- Nemotron 3 Ultra vs GPT-5.1-Codex-Mini
Qwen3.5-27BView full model details- Qwen3.5-27B vs Qwen3.6 Plus
- Qwen3.5-27B vs Gemini 3 Flash Preview
- Qwen3.5-27B vs Qwen3.7 Plus
- Qwen3.5-27B vs Grok 4.3
- Qwen3.5-27B vs DeepSeek V4 Flash 0423
- Qwen3.5-27B vs Kimi K2.5
- Qwen3.5-27B vs Gemini 3.5 Flash Lite
- Qwen3.5-27B vs GLM 4.7
- Qwen3.5-27B vs Kimi K2 Thinking
- Qwen3.5-27B vs Qwen3.5 397B A17B
- Qwen3.5-27B vs Qwen3.6 27B
Our take
Qwen3.5-27B is 1.2x cheaper for a typical chat. 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 Ultra or Qwen3.5-27B cheaper?
Qwen3.5-27B is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3.5-27B costs $0.26 per 1M input tokens and $2.60 per 1M output tokens, while Nemotron 3 Ultra costs $0.50 per 1M input tokens and $2.20 per 1M output tokens.
Which has a bigger context window, Nemotron 3 Ultra or Qwen3.5-27B?
Nemotron 3 Ultra supports up to 262K tokens of context, compared with 262K for Qwen3.5-27B.
Is Nemotron 3 Ultra smarter than Qwen3.5-27B?
On the Artificial Analysis Intelligence Index, Nemotron 3 Ultra scores 22.9 and Qwen3.5-27B scores 22.9, putting Nemotron 3 Ultra ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Nemotron 3 Ultra and Qwen3.5-27B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Nemotron 3 Ultra and Qwen3.5-27B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nemotron 3 Ultra and Qwen3.5-27B at the same time. Compare the answers side by side and keep the best one.