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gemini-2.5-flash vs gpt-6-astra

Side-by-side comparison of gemini-2.5-flash and gpt-6-astra: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. gpt-6-astra outperforms gemini-2.5-flash on 3 of 3 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
gemini-2.5-flash13.9%
gpt-6-astra54.7%
Coding Indexcoding
gemini-2.5-flashN/A
gpt-6-astra76.9%
Math Indexmath
gemini-2.5-flash73.3%
gpt-6-astraN/A
GPQA Diamondreasoning
gemini-2.5-flash79.0%
gpt-6-astra96.1%
AIME 2025math
gemini-2.5-flash73.3%
gpt-6-astraN/A
LiveCodeBenchcoding
gemini-2.5-flash69.5%
gpt-6-astraN/A
Terminal-Bench Hardagentic
gemini-2.5-flash13.6%
gpt-6-astraN/A
τ²-Benchagentic
gemini-2.5-flash31.6%
gpt-6-astraN/A
SciCodecoding
gemini-2.5-flashN/A
gpt-6-astra56.5%
MMLU Proknowledge
gemini-2.5-flash83.2%
gpt-6-astraN/A
Humanity's Last Examreasoning
gemini-2.5-flash12.1%
gpt-6-astra54.7%

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-flashgpt-6-astra
Input price / 1M$0.30$10.00
Output price / 1M$2.50$50.00
Context window1.0M tokens1.1M tokens
Max output66K tokens128K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useN/AYes
ProviderGoogle LLC (Gemini API)OpenAI Inc.

Questions people ask

Is gemini-2.5-flash better than gpt-6-astra?
gpt-6-astra outperforms gemini-2.5-flash on 3 of 3 shared benchmarks. See the benchmark comparison above for specifics: gemini-2.5-flash and gpt-6-astra have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, gemini-2.5-flash or gpt-6-astra?
gemini-2.5-flash is cheaper. gemini-2.5-flash costs $0.30/$2.50 per 1M input/output tokens, while gpt-6-astra costs $10.00/$50.00.
Can I use gemini-2.5-flash and gpt-6-astra 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-flash" and "openai/gpt-6-astra", no other code changes needed.
What are the context windows?
gemini-2.5-flash supports up to 1.0M tokens of context. gpt-6-astra 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-flash and gpt-6-astra with one line of code

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