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gemini-2.5-pro vs claude-sonnet-4-5

Side-by-side comparison of gemini-2.5-pro and claude-sonnet-4-5— benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Benchmark comparison

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

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-proclaude-sonnet-4-5
Input price / 1M$1.25$3.00
Output price / 1M$10.00$15.00
Context window1.0M tokens1M tokens
Max output66K tokens64K tokens
Vision inputYesYes
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useYes
ProviderGoogle LLC (Gemini API)Anthropic PBC

Questions people ask

Is gemini-2.5-pro better than claude-sonnet-4-5?
Benchmark data is limited for one or both models. Compare pricing and capabilities in the tables above, and test both on your own workload.
Which is cheaper — gemini-2.5-pro or claude-sonnet-4-5?
gemini-2.5-pro is cheaper. gemini-2.5-pro costs $1.25/$10.00 per 1M input/output tokens, while claude-sonnet-4-5 costs $3.00/$15.00.
Can I use gemini-2.5-pro and claude-sonnet-4-5 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-pro" or "anthropic/claude-sonnet-4-5" — no other code changes needed.
What are the context windows?
gemini-2.5-pro supports up to 1.0M tokens of context. claude-sonnet-4-5 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-pro and claude-sonnet-4-5 with one line of code

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

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