Requesty

gemini-3.5-flash vs gpt-5.6-terra

Side-by-side comparison of gemini-3.5-flash and gpt-5.6-terra: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Benchmark comparison

Intelligence Indexreasoning
gemini-3.5-flashN/A
gpt-5.6-terra32.3%

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-3.5-flashgpt-5.6-terra
Input price / 1M$1.50$2.00
Output price / 1M$9.00$12.00
Context window1.0M tokens1.1M tokens
Max output66K tokens128K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AN/A
ProviderGoogle Gemini APIOpenAI

Questions people ask

Is gemini-3.5-flash better than gpt-5.6-terra?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper, gemini-3.5-flash or gpt-5.6-terra?
gemini-3.5-flash is cheaper. gemini-3.5-flash costs $1.50/$9.00 per 1M input/output tokens, while gpt-5.6-terra costs $2.00/$12.00.
Can I use gemini-3.5-flash and gpt-5.6-terra 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-3.5-flash" and "openai/gpt-5.6-terra", no other code changes needed.
What are the context windows?
gemini-3.5-flash supports up to 1.0M tokens of context. gpt-5.6-terra 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-3.5-flash and gpt-5.6-terra with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.