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Model comparison

GPT-5.3 Codex vs Qwen3 Max

Data verified

Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

66.69/100
Margin
18.5pts
← winning
Alibaba
48.16/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.3 Codex #26 (Supported); Qwen3 Max #128 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.3 Codex and Qwen3 Max share 14 comparable benchmark results. 0 of 8 categories are comparable. 7 results are unique to GPT-5.3 Codex; 0 to Qwen3 Max.

Updated July 23, 2026
Shared results
14
GPT-5.3 Codex only
7
Qwen3 Max only
0
Comparable categories
0 / 8

Benchmark data for GPT-5.3 Codex and Qwen3 Max is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 14 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.

Qwen3 Max has 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 GPT-5.3 Codex and Qwen3 Max
CategoryGPT-5.3 CodexΔQwen3 Max
AgenticGPT-5.3 Codex71.4MarginNo overlapQwen3 MaxNot measured
CodingGPT-5.3 Codex67.2MarginNo overlapQwen3 MaxNot measured

Operational comparison

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

MetricGPT-5.3 CodexQwen3 MaxComparison
Input / output priceUSD per 1M tokensGPT-5.3 Codex$1.75 input / $14 outputQwen3 MaxNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.3 Codex79 tok/sQwen3 MaxNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.3 Codex88.26 sQwen3 MaxNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.3 Codex400KQwen3 Max1MQwen3 Max lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.3 CodexQwen3 MaxResult
Terminal-Bench 2.0Source 77.3%Not comparable
OSWorld-VerifiedSource 64.7%Not comparable
τ²-bench resultsSource 86%74.3%GPT-5.3 Codex leads
Gert LabsSource 57.47%43.74%GPT-5.3 Codex leads
JobBenchSource 33.7%Not comparable
Coding
BenchmarkGPT-5.3 CodexQwen3 MaxResult
SWE-bench VerifiedSource 85%Not comparable
SWE-bench ProSource 56.8%Not comparable
SWE-RebenchSource 58.2%Not comparable
Vibe Code BenchSource 61.77%3.51%GPT-5.3 Codex leads
AA-SciCodeSource 53.2%38.3%GPT-5.3 Codex leads
Reasoning
BenchmarkGPT-5.3 CodexQwen3 MaxResult
AA-LCRSource 74.0%46.7%GPT-5.3 Codex leads
CritPtSource 16.9%0.0%GPT-5.3 Codex leads
Knowledge
BenchmarkGPT-5.3 CodexQwen3 MaxResult
Artificial Analysis Intelligence IndexSource 44.3%24.0%GPT-5.3 Codex leads
AA-GPQA DiamondSource 91.5%76.4%GPT-5.3 Codex leads
AA-HLESource 39.9%11.1%GPT-5.3 Codex leads
AA-Omniscience IndexSource 9.9%-43.1%GPT-5.3 Codex leads
AA-Omniscience AccuracySource 51.8%24.4%GPT-5.3 Codex leads
AA-Omniscience Hallucination RateSource 86.9%89.4%GPT-5.3 Codex leads
Multimodal
BenchmarkGPT-5.3 CodexQwen3 MaxResult
AA-MMMU-ProSource 78.5%Not comparable
Design Arena WebsiteSource 11931148GPT-5.3 Codex leads
Inst. Following
BenchmarkGPT-5.3 CodexQwen3 MaxResult
AA-IFBenchSource 75.4%44.1%GPT-5.3 Codex leads
Frequently Asked Questions (3)

Can I compare GPT-5.3 Codex and Qwen3 Max 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 GPT-5.3 Codex and Qwen3 Max today?

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 23, 2026

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