LLM Comparison

DeepSeek V4 Flash Vision Exp vs Qwen3.8 Max 0902: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4 Flash Vision Exp 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.

Rank #19 vs #27AskClash overall scores 54.8 vs 39.0.
Pricing $0.14/$0.28 vs $2.00/$6.00Input and output token prices per 1M tokens when published.
API vs ProprietaryDeepSeek vs Alibaba.

DeepSeek V4 Flash Vision Exp 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.

MetricDeepSeek V4 Flash Vision ExpQwen3.8 Max 0902
Overall Score54.839.0
Leaderboard Rank#19#27
ACB58.6
HLE43.6
GPQA92.6
IFEval82.8
SWE-Pro67.7
SWE-Atlas66.3
Terminal-Bench83.986.6
DeepSWE59.369.3
OSWorld86.1
CharXiv88.4
MMMU-Pro82.7
MRCR92.9
Input Price (per 1M tokens)$0.14$2.00
Output Price (per 1M tokens)$0.28$6.00
Context Window1M1M
Benchmarks Published311

DeepSeek V4 Flash Vision Exp vs Qwen3.8 Max 0902 head-to-head charts

DeepSeek V4 Flash Vision Exp leads 1 and Qwen3.8 Max 0902 leads 2 of 3 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 Max 0902
Overall
54.8DeepSeek V4 Flash Vision Exp
39.0Qwen3.8 Max 0902
Terminal-Bench
83.9DeepSeek V4 Flash Vision Exp
86.6Qwen3.8 Max 0902
DeepSWE
59.3DeepSeek V4 Flash Vision Exp
69.3Qwen3.8 Max 0902
DeepSeek V4 Flash Vision Exp
Input$0.14
Output$0.28
Workload$0.20
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.

More DeepSeek V4 Flash Vision Exp and Qwen3.8 Max 0902 comparisons

Explore how DeepSeek V4 Flash Vision Exp and Qwen3.8 Max 0902 stack up against other top-ranked LLMs.

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.