AI model comparison
Beam 1.0 501B A23B vs GPT-6 Luna
Side by side comparison of Beam 1.0 501B A23B and GPT-6 Luna 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
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol.
- Input / 1M
- $0.10
- 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
GPT-6 Luna
2.2x cheaper for a typical chat
Higher intelligence score
GPT-6 Luna
27.8 vs 17.7 on Artificial Analysis
Larger context window
GPT-6 Luna
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 A23B17.7GPT-6 Luna27.8Coding index
Beam 1.0 501B A23BNot availableGPT-6 LunaNot availableAgentic index
Beam 1.0 501B A23BNot availableGPT-6 LunaNot availablePricing
Beam 1.0 501B A23B vs GPT-6 Luna API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Beam 1.0 501B A23B | GPT-6 Luna |
|---|---|---|
| Input tokensPer 1M tokens | $0.25 | $0.10 |
| Output tokensPer 1M tokens | $1 | $0.50 |
| Cached input (read)Per 1M tokens | $0.05 | $0.01 |
| Cache writePer 1M tokens | Not available | $0.13 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $0.20 in / $0.75 out above 272K |
| Web searchPer request | Not available | $0.01 |
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$1GPT-6 Luna$0.45Coding task
30K in, 4K out
Beam 1.0 501B A23B$11.50$5.50 cachedGPT-6 Luna$5$2.30 cachedLong document summary
150K in, 2K out
Beam 1.0 501B A23B$39.50$9.50 cachedGPT-6 Luna$16$2.50 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 | GPT-6 Luna |
|---|---|---|
| Context window | 1.05M tokens | 1.05M tokens |
| Max output | 131K tokens | 128K tokens |
| Input types | Text | File, Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, Extra high, High, Medium, Low | Max, Extra high, High, Medium, Low, None |
| Default reasoning effort | Max | Medium |
| Release date | October 16, 2026 | September 22, 2026 |
Features
Supported features
API features available for each model.
| Metric | Beam 1.0 501B A23B | GPT-6 Luna |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Not supported |
| Stop sequences | Supported | Not supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | 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
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- Beam 1.0 501B A23B vs DeepSeek V4.1 Flash
GPT-6 LunaView full model details- GPT-6 Luna vs DeepSeek V4.1 Flash 1017
- GPT-6 Luna vs GLM 5.3 Flash
- GPT-6 Luna vs DeepSeek V4.1 Flash
- GPT-6 Luna vs Hy4 preview
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- GPT-6 Luna vs DeepSeek V4 Flash 0731
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- GPT-6 Luna vs Hy3
- GPT-6 Luna vs MiMo-V2.6-Flash
- GPT-6 Luna vs Claude Haiku 5.5
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- GPT-6 Luna vs Muse Spark 1.3 Contributor
- GPT-6 Luna vs DeepSeek V4 Flash 0423
- GPT-6 Luna vs Claude Sonnet 5.5
- GPT-6 Luna vs GPT-6.1 Terra
- GPT-6 Luna vs Gemini 4 Argon
- GPT-6 Luna vs Gemini 3.8 Flash
- GPT-6 Luna vs Solar Mini 4
- GPT-6 Luna vs MiMo-V2.6-Pro
- GPT-6 Luna vs DeepSeek V4 Pro 0813
- GPT-6 Luna vs Qwen3.8 Max (0902)
- GPT-6 Luna vs Qwen3.8 27B
- GPT-6 Luna vs Qwen3.8 Flash
- GPT-6 Luna vs GPT-6 Luna Pro
- GPT-6 Luna vs Solar Pro 4
- GPT-6 Luna vs Step 3.7 Flash
- GPT-6 Luna vs MiniMax M3
- GPT-6 Luna vs Mistral Large 4
- GPT-6 Luna vs Gemma 4 31B
- GPT-6 Luna vs Muse Spark Open
- GPT-6 Luna vs gpt-oss-120b
- GPT-6 Luna vs Gemma 4 26B A4B
- GPT-6 Luna vs Nemotron 3.5 Super VL
- GPT-6 Luna vs Gemini 2.5 Flash Lite
- GPT-6 Luna vs DeepSeek V3.2
- GPT-6 Luna vs GPT-4o-mini
- GPT-6 Luna vs gpt-oss-20b
- GPT-6 Luna vs Qwen3.6 35B A3B
- GPT-6 Luna vs GLM 5.3 FlashX
- GPT-6 Luna vs GPT-5.6 Luna Pro
- GPT-6 Luna vs Ling 3.1 Flash
Our take
GPT-6 Luna is 2.2x cheaper for a typical chat. GPT-6 Luna scores higher on the Artificial Analysis Intelligence Index (27.8 vs 17.7). GPT-6 Luna has the larger context window (1.05M vs 1.05M 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 Beam 1.0 501B A23B or GPT-6 Luna cheaper?
GPT-6 Luna is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-6 Luna costs $0.10 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 GPT-6 Luna?
GPT-6 Luna supports up to 1.05M tokens of context, compared with 1.05M for Beam 1.0 501B A23B.
Is Beam 1.0 501B A23B smarter than GPT-6 Luna?
On the Artificial Analysis Intelligence Index, Beam 1.0 501B A23B scores 17.7 and GPT-6 Luna scores 27.8, putting GPT-6 Luna 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 GPT-6 Luna 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 GPT-6 Luna answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Beam 1.0 501B A23B and GPT-6 Luna at the same time. Compare the answers side by side and keep the best one.