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gemini-2.5-flash vs claude-opus-4-6

Side-by-side comparison of gemini-2.5-flash and claude-opus-4-6— benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. claude-opus-4-6 outperforms gemini-2.5-flash on 7 of 7 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
gemini-2.5-flash27.0%
claude-opus-4-652.9%
Coding Indexcoding
gemini-2.5-flash22.2%
claude-opus-4-648.1%
Math Indexmath
gemini-2.5-flash73.3%
claude-opus-4-6
GPQA Diamondreasoning
gemini-2.5-flash79.0%
claude-opus-4-689.6%
AIME 2025math
gemini-2.5-flash73.3%
claude-opus-4-6
LiveCodeBenchcoding
gemini-2.5-flash69.5%
claude-opus-4-6
Terminal-Bench Hardagentic
gemini-2.5-flash13.6%
claude-opus-4-646.2%
τ²-Benchagentic
gemini-2.5-flash31.6%
claude-opus-4-692.1%
SciCodecoding
gemini-2.5-flash39.4%
claude-opus-4-651.9%
MMLU Proknowledge
gemini-2.5-flash83.2%
claude-opus-4-6
Humanity's Last Examreasoning
gemini-2.5-flash11.1%
claude-opus-4-636.7%

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-flashclaude-opus-4-6
Input price / 1M$0.30$5.00
Output price / 1M$2.50$25.00
Context window1.0M tokens1M tokens
Max output66K tokens128K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useYes
ProviderGoogle LLC (Gemini API)Anthropic PBC

Questions people ask

Is gemini-2.5-flash better than claude-opus-4-6?
claude-opus-4-6 outperforms gemini-2.5-flash on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics — gemini-2.5-flash and claude-opus-4-6 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — gemini-2.5-flash or claude-opus-4-6?
gemini-2.5-flash is cheaper. gemini-2.5-flash costs $0.30/$2.50 per 1M input/output tokens, while claude-opus-4-6 costs $5.00/$25.00.
Can I use gemini-2.5-flash and claude-opus-4-6 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch — "google/gemini-2.5-flash" or "anthropic/claude-opus-4-6" — no other code changes needed.
What are the context windows?
gemini-2.5-flash supports up to 1.0M tokens of context. claude-opus-4-6 supports up to 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 claude-opus-4-6 with one line of code

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