How do Qwen3.8 Max and GPT-5.3 Codex compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both Qwen3.8 Max and GPT-5.3 Codex when publicly disclosed.

LLM Comparison

Qwen3.8 Max vs GPT-5.3 Codex: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 Max or GPT-5.3 Codex?

AskClash compares Qwen3.8 Max and GPT-5.3 Codex side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side Qwen3.8 Max vs GPT-5.3 Codex comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Open live leaderboard Qwen3.8 Max model page GPT-5.3 Codex model page

Rank #5 vs #27AskClash overall scores 75.8 vs 43.4.

Pricing $2.00/$6.00 vs $1.75/$14.0Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryAlibaba vs OpenAI.

Qwen3.8 Max vs GPT-5.3 Codex benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

Metric	Qwen3.8 Max	GPT-5.3 Codex
Overall Score	75.8	43.4
Leaderboard Rank	#5	#27
RWT	—	8.0
HLE	43.6	—
GPQA	92.6	—
IFEval	82.8	—
SWE-bench	—	85.0
SWE-Pro	67.7	56.8
Terminal-Bench	86.6	77.3
DeepSWE	56.6	—
OSWorld	86.1	64.7
CharXiv	88.4	—
MMMU-Pro	82.3	—
Tau2	—	86.0
MRCR	92.9	—
Input Price (per 1M tokens)	$2.00	$1.75
Output Price (per 1M tokens)	$6.00	$14.0
Context Window	1M	400K
Benchmarks Published	11	5

Qwen3.8 Max vs GPT-5.3 Codex head-to-head charts

Qwen3.8 Max leads 4 and GPT-5.3 Codex leads 0 of 4 shared benchmarks. Qwen3.8 Max is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 MaxGPT-5.3 Codex

Overall

75.8Qwen3.8 Max

43.4GPT-5.3 Codex

SWE-Pro

67.7Qwen3.8 Max

56.8GPT-5.3 Codex

Terminal-Bench

86.6Qwen3.8 Max

77.3GPT-5.3 Codex

OSWorld

86.1Qwen3.8 Max

64.7GPT-5.3 Codex

Qwen3.8 Max

Input$2.00

Output$6.00

Workload$3.20

Context1M

GPT-5.3 Codex

Input$1.75

Output$14.0

Workload$4.55

Context400K

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More Qwen3.8 Max and GPT-5.3 Codex comparisons

Explore how Qwen3.8 Max and GPT-5.3 Codex stack up against other top-ranked LLMs.

Claude Opus 5 vs Qwen3.8 Max Claude Opus 5 vs GPT-5.3 Codex Claude Fable 5 vs Qwen3.8 Max Claude Fable 5 vs GPT-5.3 Codex GPT-5.6 Sol vs Qwen3.8 Max GPT-5.6 Sol vs GPT-5.3 Codex Kimi K3 vs Qwen3.8 Max Kimi K3 vs GPT-5.3 Codex Qwen3.8 Max vs Claude Opus 4.8 Claude Opus 4.8 vs GPT-5.3 Codex

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.