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

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

Benchmark comparison

Intelligence Indexreasoning
claude-opus-4-652.9%
gemini-2.5-pro34.6%
Coding Indexcoding
claude-opus-4-648.1%
gemini-2.5-pro32.0%
Math Indexmath
claude-opus-4-6
gemini-2.5-pro87.7%
GPQA Diamondreasoning
claude-opus-4-689.6%
gemini-2.5-pro84.4%
AIME 2025math
claude-opus-4-6
gemini-2.5-pro87.7%
LiveCodeBenchcoding
claude-opus-4-6
gemini-2.5-pro80.1%
Terminal-Bench Hardagentic
claude-opus-4-646.2%
gemini-2.5-pro26.5%
τ²-Benchagentic
claude-opus-4-692.1%
gemini-2.5-pro54.1%
SciCodecoding
claude-opus-4-651.9%
gemini-2.5-pro42.8%
MMLU Proknowledge
claude-opus-4-6
gemini-2.5-pro86.2%
Humanity's Last Examreasoning
claude-opus-4-636.7%
gemini-2.5-pro21.1%

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-4-6gemini-2.5-pro
Input price / 1M$5.00$1.25
Output price / 1M$25.00$10.00
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-4-6 better than gemini-2.5-pro?
claude-opus-4-6 outperforms gemini-2.5-pro on 7 of 7 shared benchmarks. See the benchmark comparison above for specifics — claude-opus-4-6 and gemini-2.5-pro have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper — claude-opus-4-6 or gemini-2.5-pro?
gemini-2.5-pro is cheaper. claude-opus-4-6 costs $5.00/$25.00 per 1M input/output tokens, while gemini-2.5-pro costs $1.25/$10.00.
Can I use claude-opus-4-6 and gemini-2.5-pro 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-4-6" or "google/gemini-2.5-pro" — no other code changes needed.
What are the context windows?
claude-opus-4-6 supports up to 1M tokens of context. gemini-2.5-pro 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-4-6 and gemini-2.5-pro with one line of code

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