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Model comparison

DeepSeek V3.1 vs o3-mini

Data verified

Head-to-head evidence from 5 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

52.82/100
Margin
6.2pts
← winning
OpenAI
46.59/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V3.1 #100 (Supported); o3-mini #141 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.1 and o3-mini share 5 comparable benchmark results. 0 of 8 categories are comparable. 7 results are unique to DeepSeek V3.1; 5 to o3-mini.

Updated July 24, 2026
Shared results
5
DeepSeek V3.1 only
7
o3-mini only
5
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.1 and o3-mini is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 3 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.

o3-mini is priced at $1.10 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for DeepSeek V3.1. o3-mini has the larger context window at 200K, 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 o3-mini
CategoryDeepSeek V3.1Δo3-mini
CodingDeepSeek V3.1Not measuredMarginNo overlapo3-mini49.3
KnowledgeDeepSeek V3.1Not measuredMarginNo overlapo3-mini77.2
Inst. FollowingDeepSeek V3.1Not measuredMarginNo overlapo3-mini93.9

Operational comparison

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

MetricDeepSeek V3.1o3-miniComparison
Input / output priceUSD per 1M tokensDeepSeek V3.1$0 input / $0 outputo3-mini$1.1 input / $4.4 outputDeepSeek V3.1 has the lower combined listed price.
Generation speedtokens per secondDeepSeek V3.1Not availableo3-mini160 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.1Not availableo3-mini7.12 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.1128Ko3-mini200Ko3-mini lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.1o3-miniResult
τ²-bench resultsSource 34.8%28.7%DeepSeek V3.1 leads
Coding
BenchmarkDeepSeek V3.1o3-miniResult
AA-SciCodeSource 36.7%39.9%o3-mini leads
SWE-bench VerifiedSource 49.3%Not comparable
Reasoning
BenchmarkDeepSeek V3.1o3-miniResult
AA-LCRSource 45.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkDeepSeek V3.1o3-miniResult
Artificial Analysis Intelligence IndexSource 21.1%19.0%DeepSeek V3.1 leads
AA-GPQA DiamondSource 73.5%74.8%o3-mini leads
AA-HLESource 6.3%8.7%o3-mini leads
AA-Omniscience IndexSource -41.1%Not comparable
AA-Omniscience AccuracySource 23.1%Not comparable
AA-Omniscience Hallucination RateSource 83.5%Not comparable
MMLUSource 86.9%Not comparable
GPQASource 77.2%Not comparable
Math
BenchmarkDeepSeek V3.1o3-miniResult
AIME 2024Source 87.3%Not comparable
Multimodal
BenchmarkDeepSeek V3.1o3-miniResult
Design Arena WebsiteSource 1152Not comparable
Inst. Following
BenchmarkDeepSeek V3.1o3-miniResult
AA-IFBenchSource 37.8%Not comparable
IFEvalSource 93.9%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V3.1 and o3-mini 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 o3-mini today?

DeepSeek V3.1: $0.00 input / $0.00 output per 1M tokens o3-mini: $1.10 input / $4.40 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