gpt-5.6-luna vs gpt-5.6-sol
Side-by-side comparison of gpt-5.6-luna and gpt-5.6-sol: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.6-sol outperforms gpt-5.6-luna on 5 of 5 shared benchmarks.
gpt-5.6-luna
Input / 1M
$1.00
Output / 1M
$6.00
Context
1.1M
Model ID
openai/gpt-5.6-luna
gpt-5.6-sol
Input / 1M
$5.00
Output / 1M
$30.00
Context
1.1M
Model ID
openai/gpt-5.6-sol
Benchmark comparison
Intelligence Indexreasoning
gpt-5.6-luna51.2%
gpt-5.6-sol58.9%
Coding Indexcoding
gpt-5.6-luna71.4%
gpt-5.6-sol77.4%
GPQA Diamondreasoning
gpt-5.6-luna91.1%
gpt-5.6-sol94.1%
Terminal-Bench Hardagentic
gpt-5.6-lunaN/A
gpt-5.6-sol65.9%
τ²-Benchagentic
gpt-5.6-lunaN/A
gpt-5.6-sol85.1%
SciCodecoding
gpt-5.6-luna52.5%
gpt-5.6-sol56.1%
Humanity's Last Examreasoning
gpt-5.6-luna37.2%
gpt-5.6-sol47.2%
Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.
Pricing & specifications
| gpt-5.6-luna | gpt-5.6-sol | |
|---|---|---|
| Input price / 1M | $1.00 | $5.00 |
| Output price / 1M | $6.00 | $30.00 |
| Context window | 1.1M tokens | 1.1M tokens |
| Max output | 128K tokens | 128K tokens |
| Vision input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | OpenAI Inc. | OpenAI Inc. |
Questions people ask
Is gpt-5.6-luna better than gpt-5.6-sol?
gpt-5.6-sol outperforms gpt-5.6-luna on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: gpt-5.6-luna and gpt-5.6-sol have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gpt-5.6-luna or gpt-5.6-sol?
gpt-5.6-luna is cheaper. gpt-5.6-luna costs $1.00/$6.00 per 1M input/output tokens, while gpt-5.6-sol costs $5.00/$30.00.
Can I use gpt-5.6-luna and gpt-5.6-sol through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "openai/gpt-5.6-luna" and "openai/gpt-5.6-sol", no other code changes needed.
What are the context windows?
gpt-5.6-luna supports up to 1.1M tokens of context. gpt-5.6-sol supports up to 1.1M tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.
Switch between gpt-5.6-luna and gpt-5.6-sol with one line of code
Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.