AI model comparison
DeepSeek V4.1 Flash 1017 vs Beam 1.0 501B A23B
Side by side comparison of DeepSeek V4.1 Flash 1017 and Beam 1.0 501B A23B on pricing, benchmark scores, context window, and more.
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 1.05M
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
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
DeepSeek V4.1 Flash 1017
1.7x cheaper for a typical chat
Higher intelligence score
DeepSeek V4.1 Flash 1017
28.5 vs 17.7 on Artificial Analysis
Larger context window
Tie
1.05M vs 1.05M tokens
Newer release
DeepSeek V4.1 Flash 1017
Released October 17, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
DeepSeek V4.1 Flash 101728.5
Beam 1.0 501B A23B17.7Coding index
DeepSeek V4.1 Flash 1017Not availableBeam 1.0 501B A23BNot availableAgentic index
DeepSeek V4.1 Flash 1017Not availableBeam 1.0 501B A23BNot availablePricing
DeepSeek V4.1 Flash 1017 vs Beam 1.0 501B A23B API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | DeepSeek V4.1 Flash 1017 | Beam 1.0 501B A23B |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.25 |
| Output tokensPer 1M tokens | $0.60 | $1 |
| Cached input (read)Per 1M tokens | $0.00 | $0.05 |
| 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
DeepSeek V4.1 Flash 1017$0.60Beam 1.0 501B A23B$1Coding task
30K in, 4K out
DeepSeek V4.1 Flash 1017$6.90$2.49 cachedBeam 1.0 501B A23B$11.50$5.50 cachedLong document summary
150K in, 2K out
DeepSeek V4.1 Flash 1017$23.70$1.65 cachedBeam 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 | DeepSeek V4.1 Flash 1017 | Beam 1.0 501B A23B |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 393K tokens | 131K tokens |
| Input types | Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low, None | Max, Extra high, High, Medium, Low |
| Default reasoning effort | High | Max |
| Release date | October 17, 2026 | October 16, 2026 |
Features
Supported features
API features available for each model.
| Metric | DeepSeek V4.1 Flash 1017 | 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.
DeepSeek V4.1 Flash 1017View full model details- DeepSeek V4.1 Flash 1017 vs GLM 5.3 Flash
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- DeepSeek V4.1 Flash 1017 vs Nemotron 3.5 Super VL
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Beam 1.0 501B A23BView full model details- 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
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- 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
Our take
DeepSeek V4.1 Flash 1017 is 1.7x cheaper for a typical chat. DeepSeek V4.1 Flash 1017 scores higher on the Artificial Analysis Intelligence Index (28.5 vs 17.7). 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 DeepSeek V4.1 Flash 1017 or Beam 1.0 501B A23B cheaper?
DeepSeek V4.1 Flash 1017 is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4.1 Flash 1017 costs $0.15 per 1M input tokens and $0.60 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, DeepSeek V4.1 Flash 1017 or Beam 1.0 501B A23B?
DeepSeek V4.1 Flash 1017 supports up to 1.05M tokens of context, compared with 1.05M for Beam 1.0 501B A23B.
Is DeepSeek V4.1 Flash 1017 smarter than Beam 1.0 501B A23B?
On the Artificial Analysis Intelligence Index, DeepSeek V4.1 Flash 1017 scores 28.5 and Beam 1.0 501B A23B scores 17.7, putting DeepSeek V4.1 Flash 1017 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use DeepSeek V4.1 Flash 1017 and Beam 1.0 501B A23B at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4.1 Flash 1017 and Beam 1.0 501B A23B answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to DeepSeek V4.1 Flash 1017 and Beam 1.0 501B A23B at the same time. Compare the answers side by side and keep the best one.