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Model comparison

Claude 4.1 Opus Thinking 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.
36.55/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: Claude 4.1 Opus Thinking #184 (Supported); DeepSeek LLM 2.0 #89 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude 4.1 Opus Thinking and DeepSeek LLM 2.0 share 0 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to Claude 4.1 Opus Thinking; 0 to DeepSeek LLM 2.0.

Updated July 21, 2026
Shared results
0
Claude 4.1 Opus Thinking only
9
DeepSeek LLM 2.0 only
0
Comparable categories
0 / 8

Benchmark data for Claude 4.1 Opus Thinking 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 4.1 Opus Thinking 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 4.1 Opus ThinkingDeepSeek LLM 2.0Comparison
Input / output priceUSD per 1M tokensClaude 4.1 Opus ThinkingNot availableDeepSeek LLM 2.0$0 input / $0 outputA complete price comparison is not available.
Generation speedtokens per secondClaude 4.1 Opus Thinking29 tok/sDeepSeek LLM 2.0Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude 4.1 Opus Thinking15.00 sDeepSeek LLM 2.0Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude 4.1 Opus Thinking200KDeepSeek LLM 2.0128KClaude 4.1 Opus Thinking lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude 4.1 Opus ThinkingDeepSeek LLM 2.0Result
τ²-bench resultsSource 71.4%Not comparable
Coding
BenchmarkClaude 4.1 Opus ThinkingDeepSeek LLM 2.0Result
AA-SciCodeSource 40.9%Not comparable
Reasoning
BenchmarkClaude 4.1 Opus ThinkingDeepSeek LLM 2.0Result
AA-LCRSource 66.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkClaude 4.1 Opus ThinkingDeepSeek LLM 2.0Result
Artificial Analysis Intelligence IndexSource 33.7%Not comparable
AA-GPQA DiamondSource 80.9%Not comparable
AA-HLESource 11.9%Not comparable
Multimodal
BenchmarkClaude 4.1 Opus ThinkingDeepSeek LLM 2.0Result
AA-MMMU-ProSource 67.9%Not comparable
Inst. Following
BenchmarkClaude 4.1 Opus ThinkingDeepSeek LLM 2.0Result
AA-IFBenchSource 55.4%Not comparable
Frequently Asked Questions (3)

Can I compare Claude 4.1 Opus Thinking 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 4.1 Opus Thinking and DeepSeek LLM 2.0 today?

Claude 4.1 Opus Thinking: Pricing unavailable 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 21, 2026

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