gpt-5 vs gpt-5.6-luna
Side-by-side comparison of gpt-5 and gpt-5.6-luna: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.6-luna outperforms gpt-5 on 5 of 5 shared benchmarks.
gpt-5
Input / 1M
$1.25
Output / 1M
$10.00
Context
400K
Model ID
openai/gpt-5
gpt-5.6-luna
Input / 1M
$1.00
Output / 1M
$6.00
Context
1.1M
Model ID
openai/gpt-5.6-luna
Benchmark comparison
Intelligence Indexreasoning
gpt-534.7%
gpt-5.6-luna51.2%
Coding Indexcoding
gpt-537.8%
gpt-5.6-luna71.4%
Math Indexmath
gpt-594.3%
gpt-5.6-lunaN/A
GPQA Diamondreasoning
gpt-585.4%
gpt-5.6-luna91.1%
AIME 2025math
gpt-594.3%
gpt-5.6-lunaN/A
LiveCodeBenchcoding
gpt-584.6%
gpt-5.6-lunaN/A
Terminal-Bench Hardagentic
gpt-532.6%
gpt-5.6-lunaN/A
τ²-Benchagentic
gpt-584.8%
gpt-5.6-lunaN/A
SciCodecoding
gpt-542.9%
gpt-5.6-luna52.5%
MMLU Proknowledge
gpt-587.1%
gpt-5.6-lunaN/A
Humanity's Last Examreasoning
gpt-526.5%
gpt-5.6-luna37.2%
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 | gpt-5.6-luna | |
|---|---|---|
| Input price / 1M | $1.25 | $1.00 |
| Output price / 1M | $10.00 | $6.00 |
| Context window | 400K 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 better than gpt-5.6-luna?
gpt-5.6-luna outperforms gpt-5 on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: gpt-5 and gpt-5.6-luna have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gpt-5 or gpt-5.6-luna?
gpt-5.6-luna is cheaper. gpt-5 costs $1.25/$10.00 per 1M input/output tokens, while gpt-5.6-luna costs $1.00/$6.00.
Can I use gpt-5 and gpt-5.6-luna 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" and "openai/gpt-5.6-luna", no other code changes needed.
What are the context windows?
gpt-5 supports up to 400K tokens of context. gpt-5.6-luna 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 and gpt-5.6-luna with one line of code
Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.