How do Qwen3.8 Max and Qwen3.8 Max 0902 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 Qwen3.8 Max 0902 when publicly disclosed.

LLM Comparison

Qwen3.8 Max vs Qwen3.8 Max 0902: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 Max or Qwen3.8 Max 0902?

AskClash compares Qwen3.8 Max and Qwen3.8 Max 0902 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, AskClash ACB, and context window so you can see which model wins on each benchmark.

Side-by-side Qwen3.8 Max vs Qwen3.8 Max 0902 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 Qwen3.8 Max 0902 model page

Rank #10 vs #27AskClash overall scores 62.7 vs 39.0.

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

Open Weight vs ProprietaryAlibaba vs Alibaba.

Qwen3.8 Max vs Qwen3.8 Max 0902 benchmark comparison

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

Metric	Qwen3.8 Max	Qwen3.8 Max 0902
Overall Score	62.7	39.0
Leaderboard Rank	#10	#27
ACB	59.0	—
HLE	43.6	43.6
GPQA	92.6	92.6
IFEval	82.8	82.8
SWE-Pro	67.7	67.7
SWE-Atlas	—	66.3
Terminal-Bench	86.6	86.6
DeepSWE	56.6	69.3
OSWorld	86.1	86.1
Finance Agent	50.6	—
CharXiv	88.4	88.4
MMMU-Pro	82.3	82.7
MRCR	92.9	92.9
Input Price (per 1M tokens)	$2.00	$2.00
Output Price (per 1M tokens)	$6.00	$6.00
Context Window	1M	1M
Benchmarks Published	13	11

Qwen3.8 Max vs Qwen3.8 Max 0902 head-to-head charts

Qwen3.8 Max leads 1 and Qwen3.8 Max 0902 leads 2 of 11 shared benchmarks. Charts show only benchmarks both models publish.

Qwen3.8 MaxQwen3.8 Max 0902

Overall

62.7Qwen3.8 Max

39.0Qwen3.8 Max 0902

HLE

43.6Qwen3.8 Max

43.6Qwen3.8 Max 0902

GPQA

92.6Qwen3.8 Max

92.6Qwen3.8 Max 0902

IFEval

82.8Qwen3.8 Max

82.8Qwen3.8 Max 0902

SWE-Pro

67.7Qwen3.8 Max

67.7Qwen3.8 Max 0902

Terminal-Bench

86.6Qwen3.8 Max

86.6Qwen3.8 Max 0902

DeepSWE

56.6Qwen3.8 Max

69.3Qwen3.8 Max 0902

OSWorld

86.1Qwen3.8 Max

86.1Qwen3.8 Max 0902

CharXiv

88.4Qwen3.8 Max

88.4Qwen3.8 Max 0902

MMMU-Pro

82.3Qwen3.8 Max

82.7Qwen3.8 Max 0902

MRCR

92.9Qwen3.8 Max

92.9Qwen3.8 Max 0902

Qwen3.8 Max

Input$2.00

Output$6.00

Workload$3.20

Context1M

Qwen3.8 Max 0902

Input$2.00

Output$6.00

Workload$3.20

Context1M

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

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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.