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gemini-2.5-pro vs gpt-5.6-luna

Side-by-side comparison of gemini-2.5-pro and gpt-5.6-luna: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-5.6-luna outperforms gemini-2.5-pro on 5 of 5 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
gemini-2.5-pro25.8%
gpt-5.6-luna51.2%
Coding Indexcoding
gemini-2.5-pro33.3%
gpt-5.6-luna71.4%
Math Indexmath
gemini-2.5-pro87.7%
gpt-5.6-lunaN/A
GPQA Diamondreasoning
gemini-2.5-pro84.4%
gpt-5.6-luna91.1%
AIME 2025math
gemini-2.5-pro87.7%
gpt-5.6-lunaN/A
LiveCodeBenchcoding
gemini-2.5-pro80.1%
gpt-5.6-lunaN/A
Terminal-Bench Hardagentic
gemini-2.5-pro26.5%
gpt-5.6-lunaN/A
τ²-Benchagentic
gemini-2.5-pro54.1%
gpt-5.6-lunaN/A
SciCodecoding
gemini-2.5-pro42.8%
gpt-5.6-luna52.5%
MMLU Proknowledge
gemini-2.5-pro86.2%
gpt-5.6-lunaN/A
Humanity's Last Examreasoning
gemini-2.5-pro21.1%
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

gemini-2.5-progpt-5.6-luna
Input price / 1M$1.25$1.00
Output price / 1M$10.00$6.00
Context window1.0M tokens1.1M tokens
Max output66K tokens128K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderGoogle LLC (Gemini API)OpenAI Inc.

Questions people ask

Is gemini-2.5-pro better than gpt-5.6-luna?
gpt-5.6-luna outperforms gemini-2.5-pro on 5 of 5 shared benchmarks. See the benchmark comparison above for specifics: gemini-2.5-pro and gpt-5.6-luna have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-2.5-pro or gpt-5.6-luna?
gpt-5.6-luna is cheaper. gemini-2.5-pro costs $1.25/$10.00 per 1M input/output tokens, while gpt-5.6-luna costs $1.00/$6.00.
Can I use gemini-2.5-pro 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 "google/gemini-2.5-pro" and "openai/gpt-5.6-luna", no other code changes needed.
What are the context windows?
gemini-2.5-pro supports up to 1.0M 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 gemini-2.5-pro 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.