Requesty

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

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

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

claude-opus-4-7gemini-2.5-flash
Input price / 1M$5.00$0.30
Output price / 1M$25.00$2.50
Context window1M tokens1.0M tokens
Max output128K tokens66K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useYes
ProviderAnthropic PBCGoogle LLC (Gemini API)

Questions people ask

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

Requesty provides a single OpenAI-compatible API for 400+ models. Change the model parameter, not your code.

Get started free