How do DeepSeek V4 Flash Vision Exp and Qwen3.8 27B compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both DeepSeek V4 Flash Vision Exp and Qwen3.8 27B when publicly disclosed.

LLM Comparison

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

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

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

Rank #19 vs #20AskClash overall scores 58.2 vs 56.9.

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

API vs Open WeightDeepSeek vs Alibaba.

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

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

Metric	DeepSeek V4 Flash Vision Exp	Qwen3.8 27B
Overall Score	58.2	56.9
Leaderboard Rank	#19	#20
ACB	58.6	56.4
HLE	37.0	30.8
GPQA	91.0	89.2
IFEval	—	79.5
SWE-bench	79.0	—
SWE-Pro	—	61.7
Terminal-Bench	83.9	73.0
DeepSWE	59.3	42.2
OSWorld	—	84.3
MCP Atlas	69.0	—
Finance Agent	49.5	48.6
CharXiv	—	90.2
MRCR	78.7	—
Input Price (per 1M tokens)	$0.14	$0.45
Output Price (per 1M tokens)	$0.28	$3.20
Context Window	1M	262K
Benchmarks Published	10	10

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

DeepSeek V4 Flash Vision Exp leads 7 and Qwen3.8 27B leads 0 of 7 shared benchmarks. DeepSeek V4 Flash Vision Exp is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Flash Vision ExpQwen3.8 27B

Overall

58.2DeepSeek V4 Flash Vision Exp

56.9Qwen3.8 27B

ACB

58.6DeepSeek V4 Flash Vision Exp

56.4Qwen3.8 27B

HLE

37.0DeepSeek V4 Flash Vision Exp

30.8Qwen3.8 27B

GPQA

91.0DeepSeek V4 Flash Vision Exp

89.2Qwen3.8 27B

Terminal-Bench

83.9DeepSeek V4 Flash Vision Exp

73.0Qwen3.8 27B

DeepSWE

59.3DeepSeek V4 Flash Vision Exp

42.2Qwen3.8 27B

Finance Agent

49.5DeepSeek V4 Flash Vision Exp

48.6Qwen3.8 27B

DeepSeek V4 Flash Vision Exp

Input$0.14

Output$0.28

Workload$0.20

Context1M

Qwen3.8 27B

Input$0.45

Output$3.20

Workload$1.09

Context262K

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

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

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Claude Opus 5 vs DeepSeek V4 Flash Vision Exp Claude Opus 5 vs Qwen3.8 27B Claude Fable 5 vs DeepSeek V4 Flash Vision Exp Claude Fable 5 vs Qwen3.8 27B GLM-5.3 vs DeepSeek V4 Flash Vision Exp GLM-5.3 vs Qwen3.8 27B Grok 4.6 vs DeepSeek V4 Flash Vision Exp Grok 4.6 vs Qwen3.8 27B GPT-5.6 Sol vs DeepSeek V4 Flash Vision Exp GPT-5.6 Sol vs Qwen3.8 27B

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.