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claude-sonnet-4-5 vs deepseek-v3.2

Side-by-side comparison of claude-sonnet-4-5 and deepseek-v3.2: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. deepseek-v3.2 outperforms claude-sonnet-4-5 on 6 of 9 shared benchmarks.

Benchmark comparison

Intelligence Indexreasoning
claude-sonnet-4-527.3%
deepseek-v3.225.3%
Coding Indexcoding
claude-sonnet-4-552.1%
deepseek-v3.244.2%
Math Indexmath
claude-sonnet-4-588.0%
deepseek-v3.292.0%
GPQA Diamondreasoning
claude-sonnet-4-583.4%
deepseek-v3.284.0%
AIME 2025math
claude-sonnet-4-588.0%
deepseek-v3.292.0%
LiveCodeBenchcoding
claude-sonnet-4-571.4%
deepseek-v3.286.2%
Terminal-Bench Hardagentic
claude-sonnet-4-535.6%
deepseek-v3.235.6%
τ²-Benchagentic
claude-sonnet-4-578.1%
deepseek-v3.290.6%
SciCodecoding
claude-sonnet-4-545.7%
deepseek-v3.2N/A
MMLU Proknowledge
claude-sonnet-4-587.5%
deepseek-v3.286.2%
Humanity's Last Examreasoning
claude-sonnet-4-517.8%
deepseek-v3.224.6%

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

claude-sonnet-4-5deepseek-v3.2
Input price / 1M$3.00$0.56
Output price / 1M$15.00$1.68
Context window1M tokens164K tokens
Max output64K tokens66K tokens
Vision inputYesN/A
Tool callingYesYes
ReasoningYesYes
Prompt cachingYesYes
Computer useYesN/A
ProviderAnthropic PBCGoogle LLC (Vertex AI)

Questions people ask

Is claude-sonnet-4-5 better than deepseek-v3.2?
deepseek-v3.2 outperforms claude-sonnet-4-5 on 6 of 9 shared benchmarks. See the benchmark comparison above for specifics: claude-sonnet-4-5 and deepseek-v3.2 have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, claude-sonnet-4-5 or deepseek-v3.2?
deepseek-v3.2 is cheaper. claude-sonnet-4-5 costs $3.00/$15.00 per 1M input/output tokens, while deepseek-v3.2 costs $0.56/$1.68.
Can I use claude-sonnet-4-5 and deepseek-v3.2 through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "anthropic/claude-sonnet-4-5" and "vertex/deepseek-v3.2", no other code changes needed.
What are the context windows?
claude-sonnet-4-5 supports up to 1M tokens of context. deepseek-v3.2 supports up to 164K 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-v3.2 with one line of code

Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.