AI model comparison
Beam 1.0 501B A23B vs GPT-5.6 Luna
Side by side comparison of Beam 1.0 501B A23B and GPT-5.6 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-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series.
- Input / 1M
- $0.20
- Output / 1M
- $1.20
- 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
Tie
Same price for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
GPT-5.6 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-5.6 LunaNot availableCoding index
Beam 1.0 501B A23BNot availableGPT-5.6 Luna71.4Agentic index
Beam 1.0 501B A23BNot availableGPT-5.6 Luna42.1Pricing
Beam 1.0 501B A23B vs GPT-5.6 Luna API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Beam 1.0 501B A23B | GPT-5.6 Luna |
|---|---|---|
| Input tokensPer 1M tokens | $0.25 | $0.20 |
| Output tokensPer 1M tokens | $1 | $1.20 |
| Cached input (read)Per 1M tokens | $0.05 | $0.02 |
| Cache writePer 1M tokens | Not available | $0.25 |
| Long-context pricingPer 1M tokens, for very long prompts | Same rate at any length | $0.40 in / $1.80 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-5.6 Luna$1Coding task
30K in, 4K out
Beam 1.0 501B A23B$11.50$5.50 cachedGPT-5.6 Luna$10.80$5.40 cachedLong document summary
150K in, 2K out
Beam 1.0 501B A23B$39.50$9.50 cachedGPT-5.6 Luna$32.40$5.40 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-5.6 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 | July 9, 2026 |
Features
Supported features
API features available for each model.
| Metric | Beam 1.0 501B A23B | GPT-5.6 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-5.6 LunaView full model details- GPT-5.6 Luna vs DeepSeek V4.1 Flash 1017
- GPT-5.6 Luna vs DeepSeek V4.1 Flash
- GPT-5.6 Luna vs GLM 5.3 Flash
- GPT-5.6 Luna vs GPT-6 Luna
- GPT-5.6 Luna vs Claude Opus 5.5
- GPT-5.6 Luna vs Step 5 Preview
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- GPT-5.6 Luna vs GPT-6.1 Sol
- GPT-5.6 Luna vs DeepSeek V4 Flash 0731
- GPT-5.6 Luna vs GLM 5.3
- GPT-5.6 Luna vs Hy3
- GPT-5.6 Luna vs Hy4
- GPT-5.6 Luna vs GPT-6.1 Terra
- GPT-5.6 Luna vs GPT-6 Luna Pro
- GPT-5.6 Luna vs DeepSeek V4 Pro 0423
- GPT-5.6 Luna vs Gemini 3.1 Flash Lite
- GPT-5.6 Luna vs MiniMax M3
- GPT-5.6 Luna vs Step 3.7 Flash
- GPT-5.6 Luna vs gpt-oss-120b
- GPT-5.6 Luna vs Gemini 2.5 Flash
- GPT-5.6 Luna vs GPT-4o-mini
- GPT-5.6 Luna vs Qwen3.6 35B A3B
- GPT-5.6 Luna vs GLM 5.3 FlashX
- GPT-5.6 Luna vs GPT-5.6 Luna Pro
- GPT-5.6 Luna vs MiMo-V2.5
- GPT-5.6 Luna vs Muse Glimmer 30B
- GPT-5.6 Luna vs MiMo-V2.5-Pro
- GPT-5.6 Luna vs Mistral Small 4
- GPT-5.6 Luna vs Inkling Small
- GPT-5.6 Luna vs Command A+
Our take
GPT-5.6 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-5.6 Luna cheaper?
Beam 1.0 501B A23B and GPT-5.6 Luna cost the same 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, and GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens.
Which has a bigger context window, Beam 1.0 501B A23B or GPT-5.6 Luna?
GPT-5.6 Luna supports up to 1.05M tokens of context, compared with 1.05M for Beam 1.0 501B A23B.
Can I use Beam 1.0 501B A23B and GPT-5.6 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-5.6 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-5.6 Luna at the same time. Compare the answers side by side and keep the best one.