How do Qwen3.8 27B and DeepSeek V4 Flash Vision Exp 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 DeepSeek V4 Flash Vision Exp when publicly disclosed.

LLM Comparison

Qwen3.8 27B vs DeepSeek V4 Flash Vision Exp: benchmark scores, pricing & comparison.

Q: Which is better: Qwen3.8 27B or DeepSeek V4 Flash Vision Exp?

AskClash compares Qwen3.8 27B and DeepSeek V4 Flash Vision Exp 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 DeepSeek V4 Flash Vision Exp 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 DeepSeek V4 Flash Vision Exp model page

Rank #28 vs #31AskClash overall scores 56.3 vs 55.9.

Pricing $0.45/$3.20 vs $0.14/$0.28Input and output token prices per 1M tokens when published.

Open Weight vs APIAlibaba vs DeepSeek.

Qwen3.8 27B vs DeepSeek V4 Flash Vision Exp benchmark comparison

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

Metric	Qwen3.8 27B	DeepSeek V4 Flash Vision Exp
Overall Score	56.3	55.9
Leaderboard Rank	#28	#31
ACB	56.4	58.6
HLE	30.8	—
GPQA	89.2	—
IFEval	79.5	—
SWE-Pro	61.7	—
Terminal-Bench	73.0	83.9
DeepSWE	42.2	59.3
GDPval-AA	1463.2	—
OSWorld	84.3	—
Finance Agent	48.6	—
CharXiv	90.2	—
MMMU-Pro	76.3	—
Input Price (per 1M tokens)	$0.45	$0.14
Output Price (per 1M tokens)	$3.20	$0.28
Context Window	262K	1M
Benchmarks Published	13	3

Qwen3.8 27B vs DeepSeek V4 Flash Vision Exp head-to-head charts

Qwen3.8 27B leads 1 and DeepSeek V4 Flash Vision Exp leads 3 of 4 shared benchmarks. DeepSeek V4 Flash Vision Exp is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Qwen3.8 27BDeepSeek V4 Flash Vision Exp

Overall

56.3Qwen3.8 27B

55.9DeepSeek V4 Flash Vision Exp

ACB

56.4Qwen3.8 27B

58.6DeepSeek V4 Flash Vision Exp

Terminal-Bench

73.0Qwen3.8 27B

83.9DeepSeek V4 Flash Vision Exp

DeepSWE

42.2Qwen3.8 27B

59.3DeepSeek V4 Flash Vision Exp

Qwen3.8 27B

Input$0.45

Output$3.20

Workload$1.09

Context262K

DeepSeek V4 Flash Vision Exp

Input$0.14

Output$0.28

Workload$0.20

Context1M

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

More Qwen3.8 27B and DeepSeek V4 Flash Vision Exp comparisons

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Claude Fable 5.1 vs Qwen3.8 27B Claude Fable 5.1 vs DeepSeek V4 Flash Vision Exp Claude Fable 5 vs Qwen3.8 27B Claude Fable 5 vs DeepSeek V4 Flash Vision Exp Claude Opus 5 vs Qwen3.8 27B Claude Opus 5 vs DeepSeek V4 Flash Vision Exp GPT-5.6 Sol vs Qwen3.8 27B GPT-5.6 Sol vs DeepSeek V4 Flash Vision Exp GPT-6 Astra vs Qwen3.8 27B GPT-6 Astra vs DeepSeek V4 Flash Vision Exp

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.