Skip to main content

Model comparison

DeepSeek V3.2 (Thinking) vs GPT-5.3 Codex

Data verified

Head-to-head evidence from 2 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

58.15/100
Margin
8.5pts
winning →
66.69/100
0 category wins0 category wins

Public leaderboard positions: DeepSeek V3.2 (Thinking) #65 (Estimated); GPT-5.3 Codex #26 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. DeepSeek V3.2 (Thinking) and GPT-5.3 Codex share 2 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek V3.2 (Thinking); 19 to GPT-5.3 Codex.

Updated July 20, 2026
Shared results
2
DeepSeek V3.2 (Thinking) only
0
GPT-5.3 Codex only
19
Comparable categories
0 / 8

Benchmark data for DeepSeek V3.2 (Thinking) and GPT-5.3 Codex is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 2 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-5.3 Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $0.55 input / $2.19 output per 1M tokens for DeepSeek V3.2 (Thinking). GPT-5.3 Codex has the larger context window at 400K, compared with 128K for DeepSeek V3.2 (Thinking).

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 V3.2 (Thinking) and GPT-5.3 Codex
CategoryDeepSeek V3.2 (Thinking)ΔGPT-5.3 Codex
AgenticDeepSeek V3.2 (Thinking)Not measuredMarginNo overlapGPT-5.3 Codex71.4
CodingDeepSeek V3.2 (Thinking)Not measuredMarginNo overlapGPT-5.3 Codex67.2

Operational comparison

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

MetricDeepSeek V3.2 (Thinking)GPT-5.3 CodexComparison
Input / output priceUSD per 1M tokensDeepSeek V3.2 (Thinking)$0.55 input / $2.19 outputGPT-5.3 Codex$1.75 input / $14 outputDeepSeek V3.2 (Thinking) has the lower combined listed price.
Generation speedtokens per secondDeepSeek V3.2 (Thinking)Not availableGPT-5.3 Codex79 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenDeepSeek V3.2 (Thinking)Not availableGPT-5.3 Codex88.26 sA complete latency comparison is not available.
Context windowmaximum listed tokensDeepSeek V3.2 (Thinking)128KGPT-5.3 Codex400KGPT-5.3 Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkDeepSeek V3.2 (Thinking)GPT-5.3 CodexResult
Terminal-Bench 2.0Source 77.3%Not comparable
OSWorld-VerifiedSource 64.7%Not comparable
τ²-bench resultsSource 86%Not comparable
Gert LabsSource 57.47%Not comparable
JobBenchSource 33.7%Not comparable
Coding
BenchmarkDeepSeek V3.2 (Thinking)GPT-5.3 CodexResult
Vibe Code BenchSource 5.11%61.77%GPT-5.3 Codex leads
SWE-bench VerifiedSource 85%Not comparable
SWE-bench ProSource 56.8%Not comparable
SWE-RebenchSource 58.2%Not comparable
AA-SciCodeSource 53.2%Not comparable
Reasoning
BenchmarkDeepSeek V3.2 (Thinking)GPT-5.3 CodexResult
AA-LCRSource 74.0%Not comparable
CritPtSource 16.9%Not comparable
Knowledge
BenchmarkDeepSeek V3.2 (Thinking)GPT-5.3 CodexResult
Artificial Analysis Intelligence IndexSource 44.3%Not comparable
AA-GPQA DiamondSource 91.5%Not comparable
AA-HLESource 39.9%Not comparable
AA-Omniscience IndexSource 9.9%Not comparable
AA-Omniscience AccuracySource 51.8%Not comparable
AA-Omniscience Hallucination RateSource 86.9%Not comparable
Multimodal
BenchmarkDeepSeek V3.2 (Thinking)GPT-5.3 CodexResult
Design Arena WebsiteSource 12061195DeepSeek V3.2 (Thinking) leads
AA-MMMU-ProSource 78.5%Not comparable
Inst. Following
BenchmarkDeepSeek V3.2 (Thinking)GPT-5.3 CodexResult
AA-IFBenchSource 75.4%Not comparable
Frequently Asked Questions (3)

Can I compare DeepSeek V3.2 (Thinking) and GPT-5.3 Codex 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 V3.2 (Thinking) and GPT-5.3 Codex today?

DeepSeek V3.2 (Thinking): $0.55 input / $2.19 output per 1M tokens GPT-5.3 Codex: $1.75 input / $14.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 20, 2026

Choose a model with this week’s evidence

Join 2,000+ readers for ranking moves, pricing changes, and the claims that still need proof.

One email each week. Unsubscribe anytime.