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gemini-2.5-flash vs claude-opus-4-7

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

Benchmark comparison

Intelligence Indexreasoning
gemini-2.5-flash27.0%
claude-opus-4-757.3%
Coding Indexcoding
gemini-2.5-flash22.2%
claude-opus-4-752.5%
Math Indexmath
gemini-2.5-flash73.3%
claude-opus-4-7
GPQA Diamondreasoning
gemini-2.5-flash79.0%
claude-opus-4-791.4%
AIME 2025math
gemini-2.5-flash73.3%
claude-opus-4-7
LiveCodeBenchcoding
gemini-2.5-flash69.5%
claude-opus-4-7
Terminal-Bench Hardagentic
gemini-2.5-flash13.6%
claude-opus-4-751.5%
τ²-Benchagentic
gemini-2.5-flash31.6%
claude-opus-4-788.6%
SciCodecoding
gemini-2.5-flash39.4%
claude-opus-4-754.5%
MMLU Proknowledge
gemini-2.5-flash83.2%
claude-opus-4-7
Humanity's Last Examreasoning
gemini-2.5-flash11.1%
claude-opus-4-739.6%

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-4-7
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-4-7?
claude-opus-4-7 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-4-7 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — gemini-2.5-flash or claude-opus-4-7?
gemini-2.5-flash is cheaper. gemini-2.5-flash costs $0.30/$2.50 per 1M input/output tokens, while claude-opus-4-7 costs $5.00/$25.00.
Can I use gemini-2.5-flash and claude-opus-4-7 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-4-7" — no other code changes needed.
What are the context windows?
gemini-2.5-flash supports up to 1.0M tokens of context. claude-opus-4-7 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-4-7 with one line of code

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