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claude-sonnet-4-5 vs deepseek-r1

Side-by-side comparison of claude-sonnet-4-5 and deepseek-r1— benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API.

Benchmark comparison

Intelligence Indexreasoning
claude-sonnet-4-5
deepseek-r127.1%
Coding Indexcoding
claude-sonnet-4-5
deepseek-r124.0%
Math Indexmath
claude-sonnet-4-5
deepseek-r176.0%
GPQA Diamondreasoning
claude-sonnet-4-5
deepseek-r181.3%
AIME 2025math
claude-sonnet-4-5
deepseek-r176.0%
LiveCodeBenchcoding
claude-sonnet-4-5
deepseek-r177.0%
Terminal-Bench Hardagentic
claude-sonnet-4-5
deepseek-r115.9%
τ²-Benchagentic
claude-sonnet-4-5
deepseek-r136.5%
SciCodecoding
claude-sonnet-4-5
deepseek-r140.3%
MMLU Proknowledge
claude-sonnet-4-5
deepseek-r184.9%
Humanity's Last Examreasoning
claude-sonnet-4-5
deepseek-r114.9%

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-sonnet-4-5deepseek-r1
Input price / 1M$3.00$4.00
Output price / 1M$15.00$4.00
Context window1M tokens64K tokens
Max output64K tokens
Vision inputYes
Tool callingYesYes
ReasoningYes
Prompt cachingYes
Computer useYes
ProviderAnthropic PBCNovita AI

Questions people ask

Is claude-sonnet-4-5 better than deepseek-r1?
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 — claude-sonnet-4-5 or deepseek-r1?
deepseek-r1 is cheaper. claude-sonnet-4-5 costs $3.00/$15.00 per 1M input/output tokens, while deepseek-r1 costs $4.00/$4.00.
Can I use claude-sonnet-4-5 and deepseek-r1 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-sonnet-4-5" or "novita/deepseek/deepseek-r1" — no other code changes needed.
What are the context windows?
claude-sonnet-4-5 supports up to 1M tokens of context. deepseek-r1 supports up to 64K 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-sonnet-4-5 and deepseek-r1 with one line of code

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