LLM Comparison

GPT-5.6 Terra vs DeepSeek V4 Flash 0731: benchmark scores, pricing & comparison.

Side-by-side GPT-5.6 Terra vs DeepSeek V4 Flash 0731 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 #10 vs #16AskClash overall scores 71.9 vs 56.1.
Pricing $2.50/$15.0 vs $0.14/$0.28Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs DeepSeek.

GPT-5.6 Terra vs DeepSeek V4 Flash 0731 benchmark comparison

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

MetricGPT-5.6 TerraDeepSeek V4 Flash 0731
Overall Score71.956.1
Leaderboard Rank#10#16
RWT8.5
Coding Agent Index77.0
HLE37.0
GPQA92.991.0
MATH-50057.4
SWE-bench79.0
SWE-Pro63.4
SWE-Atlas81.0
Terminal-Bench87.482.7
DeepSWE69.654.4
MCP Atlas69.0
Finance Agent52.4
MMMU-Pro80.7
ARC-AGI 283.9
Tau286.3
MRCR89.678.7
Input Price (per 1M tokens)$2.50$0.14
Output Price (per 1M tokens)$15.0$0.28
Context Window1M1M
Benchmarks Published149

GPT-5.6 Terra vs DeepSeek V4 Flash 0731 head-to-head charts

GPT-5.6 Terra leads 5 and DeepSeek V4 Flash 0731 leads 0 of 5 shared benchmarks. DeepSeek V4 Flash 0731 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 TerraDeepSeek V4 Flash 0731
Overall
71.9GPT-5.6 Terra
56.1DeepSeek V4 Flash 0731
GPQA
92.9GPT-5.6 Terra
91.0DeepSeek V4 Flash 0731
Terminal-Bench
87.4GPT-5.6 Terra
82.7DeepSeek V4 Flash 0731
DeepSWE
69.6GPT-5.6 Terra
54.4DeepSeek V4 Flash 0731
MRCR
89.6GPT-5.6 Terra
78.7DeepSeek V4 Flash 0731
GPT-5.6 Terra
Input$2.50
Output$15.0
Workload$5.50
Context1M
DeepSeek V4 Flash 0731
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 GPT-5.6 Terra and DeepSeek V4 Flash 0731 comparisons

Explore how GPT-5.6 Terra and DeepSeek V4 Flash 0731 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.