How do GPT-5.6 Sol and Grok 4.3 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 Sol and Grok 4.3 when publicly disclosed.

LLM Comparison

GPT-5.6 Sol vs Grok 4.3: benchmark scores, pricing & comparison.

Q: Which is better: GPT-5.6 Sol or Grok 4.3?

AskClash compares GPT-5.6 Sol and Grok 4.3 side by side across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, and context window so you can see which model wins on each benchmark.

Side-by-side GPT-5.6 Sol vs Grok 4.3 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 Sol model page Grok 4.3 model page

Rank #3 vs #33AskClash overall scores 84.0 vs 43.6.

Pricing $5.00/$30.0 vs $1.25/$2.50Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs xAI.

GPT-5.6 Sol vs Grok 4.3 benchmark comparison

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

Metric	GPT-5.6 Sol	Grok 4.3
Overall Score	84.0	43.6
Leaderboard Rank	#3	#33
RWT	9.5	6.0
Coding Agent Index	80.0	—
HLE	47.2	35.0
GPQA	94.1	90.1
IFEval	—	81.3
SWE-Pro	64.6	—
SWE-Atlas	84.0	—
Terminal-Bench	88.8	—
DeepSWE	72.7	—
Finance Agent	53.8	37.7
MMMU-Pro	83.0	78.1
ARC-AGI 2	92.5	—
Tau2	85.1	97.7
MRCR	91.5	—
Input Price (per 1M tokens)	$5.00	$1.25
Output Price (per 1M tokens)	$30.0	$2.50
Context Window	1M	1M
Benchmarks Published	15	6

GPT-5.6 Sol vs Grok 4.3 head-to-head charts

GPT-5.6 Sol leads 6 and Grok 4.3 leads 1 of 7 shared benchmarks. Grok 4.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-5.6 SolGrok 4.3

Overall

84.0GPT-5.6 Sol

43.6Grok 4.3

RWT

9.5GPT-5.6 Sol

6.0Grok 4.3

HLE

47.2GPT-5.6 Sol

35.0Grok 4.3

GPQA

94.1GPT-5.6 Sol

90.1Grok 4.3

Finance Agent

53.8GPT-5.6 Sol

37.7Grok 4.3

MMMU-Pro

83.0GPT-5.6 Sol

78.1Grok 4.3

Tau2

85.1GPT-5.6 Sol

97.7Grok 4.3

GPT-5.6 Sol

Input$5.00

Output$30.0

Workload$11

Context1M

Grok 4.3

Input$1.25

Output$2.50

Workload$1.75

Context1M

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

More GPT-5.6 Sol and Grok 4.3 comparisons

Explore how GPT-5.6 Sol and Grok 4.3 stack up against other top-ranked LLMs.

Claude Opus 5 vs GPT-5.6 Sol Claude Opus 5 vs Grok 4.3 Claude Fable 5 vs GPT-5.6 Sol Claude Fable 5 vs Grok 4.3 GPT-5.6 Sol vs Claude Opus 4.8 Claude Opus 4.8 vs Grok 4.3 GPT-5.6 Sol vs Kimi K3 Kimi K3 vs Grok 4.3 GPT-5.6 Sol vs Claude Opus 4.7 Claude Opus 4.7 vs Grok 4.3

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.