LLM Comparison

DeepSeek V4 Flash 0731 vs Composer 2.5: benchmark scores, pricing & comparison.

Side-by-side DeepSeek V4 Flash 0731 vs Composer 2.5 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 #18 vs #50AskClash overall scores 54.8 vs 23.6.
Pricing $0.14/$0.28 vs $0.50/$2.50Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryDeepSeek vs Cursor.

DeepSeek V4 Flash 0731 vs Composer 2.5 benchmark comparison

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

MetricDeepSeek V4 Flash 0731Composer 2.5
Overall Score54.823.6
Leaderboard Rank#18#50
ACB48.053.2
RWT8.5
Coding Agent Index38.2
HLE37.0
GPQA91.0
MATH-50057.4
SWE-bench79.0
SWE-Pro47.0
SWE-Atlas72.0
Terminal-Bench82.769.3
DeepSWE54.4
MCP Atlas69.0
Finance Agent49.5
MRCR78.7
Input Price (per 1M tokens)$0.14$0.50
Output Price (per 1M tokens)$0.28$2.50
Context Window1M200K
Benchmarks Published105

DeepSeek V4 Flash 0731 vs Composer 2.5 head-to-head charts

DeepSeek V4 Flash 0731 leads 2 and Composer 2.5 leads 1 of 3 shared benchmarks. DeepSeek V4 Flash 0731 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

DeepSeek V4 Flash 0731Composer 2.5
Overall
54.8DeepSeek V4 Flash 0731
23.6Composer 2.5
ACB
48.0DeepSeek V4 Flash 0731
53.2Composer 2.5
Terminal-Bench
82.7DeepSeek V4 Flash 0731
69.3Composer 2.5
DeepSeek V4 Flash 0731
Input$0.14
Output$0.28
Workload$0.20
Context1M
Composer 2.5
Input$0.50
Output$2.50
Workload$1.00
Context200K

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

More DeepSeek V4 Flash 0731 and Composer 2.5 comparisons

Explore how DeepSeek V4 Flash 0731 and Composer 2.5 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.