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Model comparison

DeepSeek V3.1 vs GPT-4.1

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

52.82/100
Margin
2.4pts
← winning
OpenAI
50.44/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V3.1 #100 (Supported); GPT-4.1 #111 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.1 and GPT-4.1 share 12 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek V3.1; 8 to GPT-4.1.

Updated July 24, 2026
Shared results
12
DeepSeek V3.1 only
0
GPT-4.1 only
8
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.1 and GPT-4.1 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

GPT-4.1 is priced at $2.00 input / $8.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek V3.1. GPT-4.1 has the larger context window at 1M, compared with 128K for DeepSeek V3.1.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for DeepSeek V3.1 and GPT-4.1
CategoryDeepSeek V3.1ΔGPT-4.1
CodingDeepSeek V3.1Not measuredMarginNo overlapGPT-4.154.6
KnowledgeDeepSeek V3.1Not measuredMarginNo overlapGPT-4.166.3
MathDeepSeek V3.1Not measuredMarginNo overlapGPT-4.14.1
Inst. FollowingDeepSeek V3.1Not measuredMarginNo overlapGPT-4.187.4

Operational comparison

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

MetricDeepSeek V3.1GPT-4.1Comparison
Input / output priceUSD per 1M tokensDeepSeek V3.1$0 input / $0 outputGPT-4.1$2 input / $8 outputDeepSeek V3.1 has the lower combined listed price.
Generation speedtokens per secondDeepSeek V3.1Not availableGPT-4.1108 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.1Not availableGPT-4.11.02 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.1128KGPT-4.11MGPT-4.1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.1GPT-4.1Result
τ²-bench resultsSource 34.8%47.1%GPT-4.1 leads
Gert LabsSource 25.65%Not comparable
Coding
BenchmarkDeepSeek V3.1GPT-4.1Result
AA-SciCodeSource 36.7%38.1%GPT-4.1 leads
SWE-bench VerifiedSource 54.6%Not comparable
Reasoning
BenchmarkDeepSeek V3.1GPT-4.1Result
AA-LCRSource 45.0%61.0%GPT-4.1 leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkDeepSeek V3.1GPT-4.1Result
Artificial Analysis Intelligence IndexSource 21.1%19.4%DeepSeek V3.1 leads
AA-GPQA DiamondSource 73.5%66.6%DeepSeek V3.1 leads
AA-HLESource 6.3%4.6%DeepSeek V3.1 leads
AA-Omniscience IndexSource -41.1%-36.2%GPT-4.1 leads
AA-Omniscience AccuracySource 23.1%24.2%GPT-4.1 leads
AA-Omniscience Hallucination RateSource 83.5%79.6%GPT-4.1 leads
MMLUSource 90.2%Not comparable
GPQASource 66.3%Not comparable
Math
BenchmarkDeepSeek V3.1GPT-4.1Result
FrontierMath v2 (Tiers 1-3)Source 5.517%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkDeepSeek V3.1GPT-4.1Result
Design Arena WebsiteSource 11521068DeepSeek V3.1 leads
AA-MMMU-ProSource 61.2%Not comparable
Inst. Following
BenchmarkDeepSeek V3.1GPT-4.1Result
AA-IFBenchSource 37.8%43.0%GPT-4.1 leads
IFEvalSource 87.4%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V3.1 and GPT-4.1 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 DeepSeek V3.1 and GPT-4.1 today?

DeepSeek V3.1: $0.00 input / $0.00 output per 1M tokens GPT-4.1: $2.00 input / $8.00 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 24, 2026