LLM Comparison

SWE-2 vs DeepSeek V4.1 Flash: benchmark scores, pricing & comparison.

Side-by-side SWE-2 vs DeepSeek V4.1 Flash 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 leaderboardSWE-2 model pageDeepSeek V4.1 Flash model page
Rank #10 vs #16AskClash overall scores 66.3 vs 63.9.
Pricing $0/$0 vs $0.15/$0.60Input and output token prices per 1M tokens when published.
Proprietary vs APICognition vs DeepSeek.

SWE-2 vs DeepSeek V4.1 Flash benchmark comparison

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

MetricSWE-2DeepSeek V4.1 Flash
Overall Score66.363.9
Leaderboard Rank#10#16
ACB60.063.0
RWT8.5—
Coding Agent Index51.9—
HLE43.536.8
GPQA93.590.9
SWE-Atlas66.1—
Terminal-Bench92.890.6
DeepSWE73.074.2
GDPval-AA1668.01632.1
MCP Atlas84.2—
Finance Agent54.453.5
CharXiv84.8—
MMMU-Pro81.677.0
Input Price (per 1M tokens)$0$0.15
Output Price (per 1M tokens)$0$0.60
Context Window256K1M
Benchmarks Published139

SWE-2 vs DeepSeek V4.1 Flash head-to-head charts

SWE-2 leads 7 and DeepSeek V4.1 Flash leads 2 of 9 shared benchmarks. SWE-2 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

SWE-2DeepSeek V4.1 Flash
Overall
66.3SWE-2
63.9DeepSeek V4.1 Flash
ACB
60.0SWE-2
63.0DeepSeek V4.1 Flash
HLE
43.5SWE-2
36.8DeepSeek V4.1 Flash
GPQA
93.5SWE-2
90.9DeepSeek V4.1 Flash
Terminal-Bench
92.8SWE-2
90.6DeepSeek V4.1 Flash
DeepSWE
73.0SWE-2
74.2DeepSeek V4.1 Flash
GDPval-AA
1668.0SWE-2
1632.1DeepSeek V4.1 Flash
Finance Agent
54.4SWE-2
53.5DeepSeek V4.1 Flash
MMMU-Pro
81.6SWE-2
77.0DeepSeek V4.1 Flash
SWE-2
Input$0
Output$0
Workload$0.00
Context256K
DeepSeek V4.1 Flash
Input$0.15
Output$0.60
Workload$0.27
Context1M

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

More SWE-2 and DeepSeek V4.1 Flash comparisons

Explore how SWE-2 and DeepSeek V4.1 Flash stack up against other top-ranked LLMs.

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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.