How do GPT-5.6 Terra and DeepSeek V4 Flash Vision Exp compare on coding benchmarks?

The comparison table shows SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, DeepSWE, and coding agent index scores for both GPT-5.6 Terra and DeepSeek V4 Flash Vision Exp when publicly disclosed.

LLM Comparison

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

Q: Which is better: GPT-5.6 Terra or DeepSeek V4 Flash Vision Exp?

AskClash compares GPT-5.6 Terra and DeepSeek V4 Flash Vision Exp 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 GPT-5.6 Terra vs DeepSeek V4 Flash Vision Exp 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 GPT-5.6 Terra model page DeepSeek V4 Flash Vision Exp model page

Rank #10 vs #19AskClash overall scores 71.5 vs 58.2.

Pricing $2.50/$15.0 vs $0.14/$0.28Input and output token prices per 1M tokens when published.

Proprietary vs APIOpenAI vs DeepSeek.

GPT-5.6 Terra vs DeepSeek V4 Flash Vision Exp benchmark comparison

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

Metric	GPT-5.6 Terra	DeepSeek V4 Flash Vision Exp
Overall Score	71.5	58.2
Leaderboard Rank	#10	#19
ACB	56.4	58.6
RWT	8.5	—
Coding Agent Index	77.0	—
HLE	—	37.0
GPQA	92.9	91.0
SWE-bench	—	79.0
SWE-Pro	63.4	—
SWE-Atlas	81.0	—
Terminal-Bench	87.4	83.9
DeepSWE	69.6	59.3
MCP Atlas	—	69.0
Finance Agent	54.4	49.5
MMMU-Pro	80.7	—
ARC-AGI 2	83.9	—
Tau2	86.3	—
MRCR	89.6	78.7
Input Price (per 1M tokens)	$2.50	$0.14
Output Price (per 1M tokens)	$15.0	$0.28
Context Window	1M	1M
Benchmarks Published	14	10

GPT-5.6 Terra vs DeepSeek V4 Flash Vision Exp head-to-head charts

GPT-5.6 Terra leads 6 and DeepSeek V4 Flash Vision Exp leads 1 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.

GPT-5.6 TerraDeepSeek V4 Flash Vision Exp

Overall

71.5GPT-5.6 Terra

58.2DeepSeek V4 Flash Vision Exp

ACB

56.4GPT-5.6 Terra

58.6DeepSeek V4 Flash Vision Exp

GPQA

92.9GPT-5.6 Terra

91.0DeepSeek V4 Flash Vision Exp

Terminal-Bench

87.4GPT-5.6 Terra

83.9DeepSeek V4 Flash Vision Exp

DeepSWE

69.6GPT-5.6 Terra

59.3DeepSeek V4 Flash Vision Exp

Finance Agent

54.4GPT-5.6 Terra

49.5DeepSeek V4 Flash Vision Exp

MRCR

89.6GPT-5.6 Terra

78.7DeepSeek V4 Flash Vision Exp

GPT-5.6 Terra

Input$2.50

Output$15.0

Workload$5.50

Context1M

DeepSeek V4 Flash Vision Exp

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 Vision Exp comparisons

Explore how GPT-5.6 Terra and DeepSeek V4 Flash Vision Exp stack up against other top-ranked LLMs.

Claude Opus 5 vs GPT-5.6 Terra Claude Opus 5 vs DeepSeek V4 Flash Vision Exp Claude Fable 5 vs GPT-5.6 Terra Claude Fable 5 vs DeepSeek V4 Flash Vision Exp GLM-5.3 vs GPT-5.6 Terra GLM-5.3 vs DeepSeek V4 Flash Vision Exp Grok 4.6 vs GPT-5.6 Terra Grok 4.6 vs DeepSeek V4 Flash Vision Exp GPT-5.6 Sol vs GPT-5.6 Terra GPT-5.6 Sol vs DeepSeek V4 Flash Vision Exp

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.