AI model comparison
Beam 1.0 501B A23B vs DeepSeek V4 Pro 0813
Side by side comparison of Beam 1.0 501B A23B and DeepSeek V4 Pro 0813 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
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek.
- Input / 1M
- $0.12
- Output / 1M
- $4
- Context
- 1.05M
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At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Beam 1.0 501B A23B
2.2x cheaper for a typical chat
Higher intelligence score
DeepSeek V4 Pro 0813
23.1 vs 17.7 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 A23B17.7DeepSeek V4 Pro 081323.1Coding index
Beam 1.0 501B A23BNot availableDeepSeek V4 Pro 081368.8Agentic index
Beam 1.0 501B A23BNot availableDeepSeek V4 Pro 081341.3Pricing
Beam 1.0 501B A23B vs DeepSeek V4 Pro 0813 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Beam 1.0 501B A23B | DeepSeek V4 Pro 0813 |
|---|---|---|
| Input tokensPer 1M tokens | $0.25 | $0.12 |
| Output tokensPer 1M tokens | $1 | $4 |
| Cached input (read)Per 1M tokens | $0.05 | $0.11 |
| 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$1DeepSeek V4 Pro 0813$2.23Coding task
30K in, 4K out
Beam 1.0 501B A23B$11.50$5.50 cachedDeepSeek V4 Pro 0813$19.45$19.30 cachedLong document summary
150K in, 2K out
Beam 1.0 501B A23B$39.50$9.50 cachedDeepSeek V4 Pro 0813$25.25$24.50 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 | DeepSeek V4 Pro 0813 |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 131K tokens | 944K tokens |
| Input types | Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low | Max, High, Low, None |
| Default reasoning effort | Max | High |
| Release date | October 16, 2026 | August 12, 2026 |
Features
Supported features
API features available for each model.
| Metric | Beam 1.0 501B A23B | DeepSeek V4 Pro 0813 |
|---|---|---|
| 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 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 Nemotron 3.5 Super VL
- 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
DeepSeek V4 Pro 0813View full model details- DeepSeek V4 Pro 0813 vs DeepSeek V4.1 Flash 1017
- DeepSeek V4 Pro 0813 vs GPT-6 Luna
- DeepSeek V4 Pro 0813 vs Step 5 Preview
- DeepSeek V4 Pro 0813 vs Qwen3.8 Max (0902)
- DeepSeek V4 Pro 0813 vs GLM 5.3
- DeepSeek V4 Pro 0813 vs Gemini 3.8 Flash
- DeepSeek V4 Pro 0813 vs Mistral Large 4
- DeepSeek V4 Pro 0813 vs Kimi K3
- DeepSeek V4 Pro 0813 vs Muse Spark Open
- DeepSeek V4 Pro 0813 vs Qwen3.8 27B
- DeepSeek V4 Pro 0813 vs MiniMax M3
- DeepSeek V4 Pro 0813 vs Inkling
- DeepSeek V4 Pro 0813 vs DeepSeek V4 Pro 0423
- DeepSeek V4 Pro 0813 vs Gemini 3.7 Flash
- DeepSeek V4 Pro 0813 vs Claude Haiku 4.5
Our take
Beam 1.0 501B A23B is 2.2x cheaper for a typical chat. DeepSeek V4 Pro 0813 scores higher on the Artificial Analysis Intelligence Index (23.1 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 Beam 1.0 501B A23B or DeepSeek V4 Pro 0813 cheaper?
Beam 1.0 501B A23B is cheaper for a typical chat (2K input tokens and 500 output tokens). Beam 1.0 501B A23B costs $0.25 per 1M input tokens and $1 per 1M output tokens, while DeepSeek V4 Pro 0813 costs $0.12 per 1M input tokens and $4 per 1M output tokens.
Which has a bigger context window, Beam 1.0 501B A23B or DeepSeek V4 Pro 0813?
Beam 1.0 501B A23B supports up to 1.05M tokens of context, compared with 1.05M for DeepSeek V4 Pro 0813.
Is Beam 1.0 501B A23B smarter than DeepSeek V4 Pro 0813?
On the Artificial Analysis Intelligence Index, Beam 1.0 501B A23B scores 17.7 and DeepSeek V4 Pro 0813 scores 23.1, putting DeepSeek V4 Pro 0813 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 DeepSeek V4 Pro 0813 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 DeepSeek V4 Pro 0813 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Beam 1.0 501B A23B and DeepSeek V4 Pro 0813 at the same time. Compare the answers side by side and keep the best one.