AI model comparison
Beam 1.0 501B A23B vs Nemotron 3.5 Super VL
Side by side comparison of Beam 1.0 501B A23B and Nemotron 3.5 Super VL on pricing, benchmark scores, context window, and more.
Beam 1.0 is Reflection's open-weight reasoning model for coding and long-horizon agentic workflows.
- Input / 1M
- $0.25
- Output / 1M
- $1
- Context
- 1.05M
NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total.
- Input / 1M
- $0.15
- Output / 1M
- $0.50
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Nemotron 3.5 Super VL
1.8x cheaper for a typical chat
Higher intelligence score
Beam 1.0 501B A23B
17.7 vs 13.6 on Artificial Analysis
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
Beam 1.0 501B A23B
Released October 16, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Beam 1.0 501B A23B17.7Coding index
Beam 1.0 501B A23BNot availableAgentic index
Beam 1.0 501B A23BNot availablePricing
Beam 1.0 501B A23B vs Nemotron 3.5 Super VL API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Beam 1.0 501B A23B | |
|---|---|---|
| Input tokensPer 1M tokens | $0.25 | $0.15 |
| Output tokensPer 1M tokens | $1 | $0.50 |
| Cached input (read)Per 1M tokens | $0.05 | $0.02 |
| 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
Beam 1.0 501B A23B$1Coding task
30K in, 4K out
Beam 1.0 501B A23B$11.50$5.50 cachedLong document summary
150K in, 2K out
Beam 1.0 501B A23B$39.50$9.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Beam 1.0 501B A23B | |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 131K tokens | 236K tokens |
| Input types | Text | Image, Text, Video |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low | Not available |
| Default reasoning effort | Max | Not available |
| Release date | October 16, 2026 | October 15, 2026 |
Features
Supported features
API features available for each model.
| Metric | Beam 1.0 501B A23B | |
|---|---|---|
| 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.
Beam 1.0 501B A23BView full model details- Beam 1.0 501B A23B vs DeepSeek V4.1 Flash 1017
- Beam 1.0 501B A23B vs GPT-6 Luna
- Beam 1.0 501B A23B vs DeepSeek V4 Pro 0813
- Beam 1.0 501B A23B vs Qwen3.8 27B
- Beam 1.0 501B A23B vs MiniMax M3
- Beam 1.0 501B A23B vs Kimi K3
- Beam 1.0 501B A23B vs Inkling Small
- Beam 1.0 501B A23B vs Inkling
- Beam 1.0 501B A23B vs Gemini 3.5 Flash Lite
- Beam 1.0 501B A23B vs DeepSeek V4.1 Flash
- Nemotron 3.5 Super VL vs DeepSeek V4.1 Flash 1017
- Nemotron 3.5 Super VL vs GPT-6 Luna
- Nemotron 3.5 Super VL vs Qwen3.8 27B
- Nemotron 3.5 Super VL vs MiniMax M3
- Nemotron 3.5 Super VL vs DeepSeek V4.1 Flash
- Nemotron 3.5 Super VL vs Inkling Small
- Nemotron 3.5 Super VL vs Inkling
- Nemotron 3.5 Super VL vs Nemotron 3 Ultra
- Nemotron 3.5 Super VL vs Gemini 3.5 Flash Lite
- Nemotron 3.5 Super VL vs Muse Glimmer 30B
- Nemotron 3.5 Super VL vs Nemotron 3.5 Lightning
- Nemotron 3.5 Super VL vs Mistral Small 4
Our take
Nemotron 3.5 Super VL is 1.8x cheaper for a typical chat. Beam 1.0 501B A23B scores higher on the Artificial Analysis Intelligence Index (17.7 vs 13.6). 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 Beam 1.0 501B A23B or Nemotron 3.5 Super VL cheaper?
Nemotron 3.5 Super VL is cheaper for a typical chat (2K input tokens and 500 output tokens). Nemotron 3.5 Super VL costs $0.15 per 1M input tokens and $0.50 per 1M output tokens, while Beam 1.0 501B A23B costs $0.25 per 1M input tokens and $1 per 1M output tokens.
Which has a bigger context window, Beam 1.0 501B A23B or Nemotron 3.5 Super VL?
Beam 1.0 501B A23B supports up to 1.05M tokens of context, compared with 1.05M for Nemotron 3.5 Super VL.
Is Beam 1.0 501B A23B smarter than Nemotron 3.5 Super VL?
On the Artificial Analysis Intelligence Index, Beam 1.0 501B A23B scores 17.7 and Nemotron 3.5 Super VL scores 13.6, putting Beam 1.0 501B A23B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Beam 1.0 501B A23B and Nemotron 3.5 Super VL at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Beam 1.0 501B A23B and Nemotron 3.5 Super VL answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Beam 1.0 501B A23B and Nemotron 3.5 Super VL at the same time. Compare the answers side by side and keep the best one.