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Model comparison

Claude Sonnet 4.5 vs DeepSeek LLM 2.0

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
53.61/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: Claude Sonnet 4.5 #96 (Estimated); DeepSeek LLM 2.0 #89 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Sonnet 4.5 and DeepSeek LLM 2.0 share 0 comparable benchmark results. 0 of 8 categories are comparable. 12 results are unique to Claude Sonnet 4.5; 0 to DeepSeek LLM 2.0.

Updated July 22, 2026
Shared results
0
Claude Sonnet 4.5 only
12
DeepSeek LLM 2.0 only
0
Comparable categories
0 / 8

Benchmark data for Claude Sonnet 4.5 and DeepSeek LLM 2.0 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for DeepSeek LLM 2.0 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Claude Sonnet 4.5 is priced at $3.00 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek LLM 2.0. Claude Sonnet 4.5 has the larger context window at 200K, compared with 128K for DeepSeek LLM 2.0.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricClaude Sonnet 4.5DeepSeek LLM 2.0Comparison
Input / output priceUSD per 1M tokensClaude Sonnet 4.5$3 input / $15 outputDeepSeek LLM 2.0$0 input / $0 outputDeepSeek LLM 2.0 has the lower combined listed price.
Generation speedtokens per secondClaude Sonnet 4.5Not availableDeepSeek LLM 2.0Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Sonnet 4.5Not availableDeepSeek LLM 2.0Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Sonnet 4.5200KDeepSeek LLM 2.0128KClaude Sonnet 4.5 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Sonnet 4.5DeepSeek LLM 2.0Result
Terminal-Bench 2.0Source 50%Not comparable
OSWorld-VerifiedSource 61.4%Not comparable
VITA-BenchSource 17.0%Not comparable
Gert LabsSource 48.51%Not comparable
JobBenchSource 27.7%Not comparable
Coding
BenchmarkClaude Sonnet 4.5DeepSeek LLM 2.0Result
SWE-bench VerifiedSource 77.2%Not comparable
Reasoning
BenchmarkClaude Sonnet 4.5DeepSeek LLM 2.0Result
ARC-AGI-2Source 13.6%Not comparable
Knowledge
BenchmarkClaude Sonnet 4.5DeepSeek LLM 2.0Result
GPQASource 83.4%Not comparable
Math
BenchmarkClaude Sonnet 4.5DeepSeek LLM 2.0Result
AIME 2025Source 87%Not comparable
FrontierMath v2 (Tiers 1-3)Source 13.495%Not comparable
FrontierMath v2 (Tier 4)Source 4.167%Not comparable
Multimodal
BenchmarkClaude Sonnet 4.5DeepSeek LLM 2.0Result
Design Arena WebsiteSource 1219Not comparable
Frequently Asked Questions (3)

Can I compare Claude Sonnet 4.5 and DeepSeek LLM 2.0 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Claude Sonnet 4.5 and DeepSeek LLM 2.0 today?

Claude Sonnet 4.5: $3.00 input / $15.00 output per 1M tokens DeepSeek LLM 2.0: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 22, 2026

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