How do Qwen3.8 27B and Qwen3.7 Max 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 27B and Qwen3.7 Max when publicly disclosed.

LLM Comparison

Qwen3.8 27B vs Qwen3.7 Max: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 27B or Qwen3.7 Max?

AskClash compares Qwen3.8 27B and Qwen3.7 Max 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 27B vs Qwen3.7 Max 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 27B model page Qwen3.7 Max model page

Rank #17 vs #18AskClash overall scores 57.0 vs 56.4.

Pricing $0.45/$3.20 vs $2.50/$7.50Input and output token prices per 1M tokens when published.

Open Weight vs ProprietaryAlibaba vs Alibaba.

Qwen3.8 27B vs Qwen3.7 Max benchmark comparison

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

Metric	Qwen3.8 27B	Qwen3.7 Max
Overall Score	57.0	56.4
Leaderboard Rank	#17	#18
ACB	56.4	—
RWT	—	7.5
HLE	30.8	41.4
GPQA	89.2	92.4
IFEval	79.5	94.3
SWE-bench	—	80.4
SWE-Pro	61.7	—
Terminal-Bench	73.0	69.7
DeepSWE	42.2	—
OSWorld	84.3	—
MCP Atlas	—	76.4
Finance Agent	—	48.4
CharXiv	90.2	—
Tau2	—	94.7
MRCR	—	90.4
Input Price (per 1M tokens)	$0.45	$2.50
Output Price (per 1M tokens)	$3.20	$7.50
Context Window	262K	1M
Benchmarks Published	9	11

Qwen3.8 27B vs Qwen3.7 Max head-to-head charts

Qwen3.8 27B leads 2 and Qwen3.7 Max leads 3 of 5 shared benchmarks. Qwen3.8 27B is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 27BQwen3.7 Max

Overall

57.0Qwen3.8 27B

56.4Qwen3.7 Max

HLE

30.8Qwen3.8 27B

41.4Qwen3.7 Max

GPQA

89.2Qwen3.8 27B

92.4Qwen3.7 Max

IFEval

79.5Qwen3.8 27B

94.3Qwen3.7 Max

Terminal-Bench

73.0Qwen3.8 27B

69.7Qwen3.7 Max

Qwen3.8 27B

Input$0.45

Output$3.20

Workload$1.09

Context262K

Qwen3.7 Max

Input$2.50

Output$7.50

Workload$4.00

Context1M

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

More Qwen3.8 27B and Qwen3.7 Max comparisons

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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.