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Model comparison

DeepSeek V4 Pro (Max) vs GPT-5.3 Codex

Data verified

Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

N/A
No comparison
66.69/100
2 category wins0 category wins

Public leaderboard positions: DeepSeek V4 Pro (Max) unranked (Not scored); GPT-5.3 Codex #26 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V4 Pro (Max) and GPT-5.3 Codex share 16 comparable benchmark results. 2 of 8 categories are comparable. 32 results are unique to DeepSeek V4 Pro (Max); 5 to GPT-5.3 Codex.

Updated July 23, 2026
Shared results
16
DeepSeek V4 Pro (Max) only
32
GPT-5.3 Codex only
5
Comparable categories
2 / 8

Treat this as a split decision. DeepSeek V4 Pro (Max) makes more sense if coding is the priority or you want the cheaper token bill; GPT-5.3 Codex is the better fit if its strengths line up with your actual workload.

Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 6 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

DeepSeek V4 Pro (Max) and GPT-5.3 Codex finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.

GPT-5.3 Codex is also the more expensive model on tokens at $1.75 input / $14.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro (Max). That is roughly 16.1x on output cost alone. DeepSeek V4 Pro (Max) gives you the larger context window at 1M, compared with 400K for GPT-5.3 Codex.

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 V4 Pro (Max) and GPT-5.3 Codex
CategoryDeepSeek V4 Pro (Max)ΔGPT-5.3 Codex
CodingDeepSeek V4 Pro (Max)70.9Margin← 3.7GPT-5.3 Codex67.2
AgenticDeepSeek V4 Pro (Max)74.5Margin← 3.1GPT-5.3 Codex71.4
KnowledgeDeepSeek V4 Pro (Max)60.1MarginNo overlapGPT-5.3 CodexNot measured
MathDeepSeek V4 Pro (Max)95.2MarginNo overlapGPT-5.3 CodexNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · DeepSeek V4 Pro (Max)B · GPT-5.3 Codex

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 67.9%B 77.3%
    Winner: GPT-5.3 CodexΔ 9.4
    Terminal-Bench 2.0: DeepSeek V4 Pro (Max) scored 67.9%; GPT-5.3 Codex scored 77.3%. GPT-5.3 Codex wins this benchmark.

  2. SWE-bench Verified

    Coding
    Source ↗
    A 80.6%B 85%
    Winner: GPT-5.3 CodexΔ 4.4
    SWE-bench Verified: DeepSeek V4 Pro (Max) scored 80.6%; GPT-5.3 Codex scored 85%. GPT-5.3 Codex wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 55.4%B 56.8%
    Winner: GPT-5.3 CodexΔ 1.4
    SWE-bench Pro: DeepSeek V4 Pro (Max) scored 55.4%; GPT-5.3 Codex scored 56.8%. GPT-5.3 Codex wins this benchmark.

Operational comparison

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

MetricDeepSeek V4 Pro (Max)GPT-5.3 CodexComparison
Input / output priceUSD per 1M tokensDeepSeek V4 Pro (Max)$0.435 input / $0.87 outputGPT-5.3 Codex$1.75 input / $14 outputDeepSeek V4 Pro (Max) has the lower combined listed price.
Generation speedtokens per secondDeepSeek V4 Pro (Max)Not availableGPT-5.3 Codex79 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V4 Pro (Max)Not availableGPT-5.3 Codex88.26 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V4 Pro (Max)1MGPT-5.3 Codex400KDeepSeek V4 Pro (Max) lists the larger context window.

Benchmark Deep Dive

AgenticDeepSeek V4 Pro (Max) wins
BenchmarkDeepSeek V4 Pro (Max)GPT-5.3 CodexResult
Terminal-Bench 2.0Source 67.9%77.3%GPT-5.3 Codex leads
BrowseCompSource 83.4%—Not comparable
HLE w/ toolsSource 48.2%—Not comparable
MCP AtlasSource 73.6%—Not comparable
GDPval-AASource 1307—Not comparable
ToolathlonSource 51.8%—Not comparable
AA Agentic IndexSource 36.4%—Not comparable
APEX-Agents-AASource 24.3%—Not comparable
τ²-bench resultsSource 96.2%86%DeepSeek V4 Pro (Max) leads
GDPval-AASource 40.4%—Not comparable
AA BriefcaseSource 932—Not comparable
AA EnterpriseOps-GymSource 40.4%—Not comparable
AA Harvey LABSource 84.4%—Not comparable
AA ITBenchSource 38.3%—Not comparable
AA Tau3 BankingSource 25.8%—Not comparable
terminalBenchHardSource 46.2%—Not comparable
aaTerminalBench21Source 64%—Not comparable
OSWorld-VerifiedSource —64.7%Not comparable
Gert LabsSource —57.47%Not comparable
JobBenchSource —33.7%Not comparable
CodingDeepSeek V4 Pro (Max) wins
BenchmarkDeepSeek V4 Pro (Max)GPT-5.3 CodexResult
CodeforcesSource 3206.0—Not comparable
SWE-bench VerifiedSource 80.6%85%GPT-5.3 Codex leads
SWE-bench ProSource 55.4%56.8%GPT-5.3 Codex leads
SWE MultilingualSource 76.2%—Not comparable
Terminal-Bench 2.0Source 67.9%—Not comparable
Vibe Code BenchSource 49.93%61.77%GPT-5.3 Codex leads
AA Coding IndexSource 59.4%—Not comparable
AA-SciCodeSource 50.0%53.2%GPT-5.3 Codex leads
SWE-RebenchSource —58.2%Not comparable
Reasoning
BenchmarkDeepSeek V4 Pro (Max)GPT-5.3 CodexResult
MRCR 1MSource 83.5%—Not comparable
CorpusQA 1MSource 62.0%—Not comparable
AA-LCRSource 66.3%74.0%GPT-5.3 Codex leads
CritPtSource 12.9%16.9%GPT-5.3 Codex leads
Knowledge
BenchmarkDeepSeek V4 Pro (Max)GPT-5.3 CodexResult
MMLU-ProSource 87.5%—Not comparable
SimpleQASource 57.9%—Not comparable
Chinese-SimpleQASource 84.4%—Not comparable
GPQASource 90.1%—Not comparable
GPQA-DSource 90.1%—Not comparable
HLESource 37.7%—Not comparable
Artificial Analysis Intelligence IndexSource 44.3%44.3%Tie
AA-GPQA DiamondSource 88.8%91.5%GPT-5.3 Codex leads
AA-HLESource 35.9%39.9%GPT-5.3 Codex leads
AA-Omniscience IndexSource -10.0%9.9%GPT-5.3 Codex leads
AA-Omniscience AccuracySource 43.3%51.8%GPT-5.3 Codex leads
AA-Omniscience Hallucination RateSource 94.0%86.9%GPT-5.3 Codex leads
AA Openness IndexSource 50.0%—Not comparable
Math
BenchmarkDeepSeek V4 Pro (Max)GPT-5.3 CodexResult
HMMT Feb 2026Source 95.2%—Not comparable
IMOAnswerBenchSource 89.8%—Not comparable
ApexSource 38.3%—Not comparable
Apex ShortlistSource 90.2%—Not comparable
Multimodal
BenchmarkDeepSeek V4 Pro (Max)GPT-5.3 CodexResult
Design Arena WebsiteSource 12641193DeepSeek V4 Pro (Max) leads
AA-MMMU-ProSource —78.5%Not comparable
Inst. Following
BenchmarkDeepSeek V4 Pro (Max)GPT-5.3 CodexResult
AA-IFBenchSource 76.5%75.4%DeepSeek V4 Pro (Max) leads
Frequently Asked Questions (3)

Which is better, DeepSeek V4 Pro (Max) or GPT-5.3 Codex?

DeepSeek V4 Pro (Max) and GPT-5.3 Codex are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.

Which is better for coding, DeepSeek V4 Pro (Max) or GPT-5.3 Codex?

DeepSeek V4 Pro (Max) has the edge for coding in this comparison, averaging 70.9 versus 67.2. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, DeepSeek V4 Pro (Max) or GPT-5.3 Codex?

DeepSeek V4 Pro (Max) has the edge for agentic tasks in this comparison, averaging 74.5 versus 71.4. Inside this category, τ²-bench results is the benchmark that creates the most daylight between them.

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