Which is better: GPT-6.1 Terra or Grok 4.5?

Verdict: GPT-6.1 Terra ranks higher (#35 vs #93) and wins 4 of 5 shared benchmarks; GPT-6.1 Terra costs less ($1.00/$5.00 vs $2.00/$6.00 per 1M tokens). AskClash compares GPT-6.1 Terra and Grok 4.5 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.

How do GPT-6.1 Terra and Grok 4.5 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-6.1 Terra and Grok 4.5 when publicly disclosed.

LLM Comparison

GPT-6.1 Terra vs Grok 4.5: benchmark scores, pricing & comparison.

Side-by-side GPT-6.1 Terra vs Grok 4.5 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.

Verdict: GPT-6.1 Terra ranks higher (#35 vs #93) and wins 4 of 5 shared benchmarks; GPT-6.1 Terra costs less ($1.00/$5.00 vs $2.00/$6.00 per 1M tokens).

Open live leaderboard GPT-6.1 Terra model page Grok 4.5 model page

Rank #35 vs #93AskClash overall scores 61.7 vs 52.1.

Pricing $1.00/$5.00 vs $2.00/$6.00Input and output token prices per 1M tokens when published.

Proprietary vs ProprietaryOpenAI vs xAI.

GPT-6.1 Terra vs Grok 4.5 benchmark comparison

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

Metric	GPT-6.1 Terra	Grok 4.5
Overall Score	61.7	52.1
Leaderboard Rank	#35	#93
ACB	62.1	57.6
RWT	—	9.0
Coding Agent Index	—	76.4
HLE	46.2	40.3
GPQA	—	93.1
SWE-Pro	—	64.7
SWE-Atlas	—	83.9
Terminal-Bench	55.6	10.6
GDPval-AA	1467.6	1542.8
Finance Agent	—	48.3
MMMU-Pro	84.7	80.4
Input Price (per 1M tokens)	$1.00	$2.00
Output Price (per 1M tokens)	$5.00	$6.00
Context Window	1.05M	500K
Benchmarks Published	8	13

GPT-6.1 Terra vs Grok 4.5 head-to-head charts

GPT-6.1 Terra leads 5 and Grok 4.5 leads 1 of 6 shared benchmarks. GPT-6.1 Terra is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GPT-6.1 TerraGrok 4.5

Overall

61.7GPT-6.1 Terra

52.1Grok 4.5

ACB

62.1GPT-6.1 Terra

57.6Grok 4.5

HLE

46.2GPT-6.1 Terra

40.3Grok 4.5

Terminal-Bench

55.6GPT-6.1 Terra

10.6Grok 4.5

GDPval-AA

1467.6GPT-6.1 Terra

1542.8Grok 4.5

MMMU-Pro

84.7GPT-6.1 Terra

80.4Grok 4.5

GPT-6.1 Terra

Input$1.00

Output$5.00

Workload$2.00

Context1.05M

Grok 4.5

Input$2.00

Output$6.00

Workload$3.20

Context500K

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

More GPT-6.1 Terra and Grok 4.5 comparisons

Explore how GPT-6.1 Terra and Grok 4.5 stack up against other top-ranked LLMs.

Kimi K3.1 Pro vs GPT-6.1 Terra Kimi K3.1 Pro vs Grok 4.5 Claude Opus 5.5 vs GPT-6.1 Terra Claude Opus 5.5 vs Grok 4.5 Claude Fable 5.1 vs GPT-6.1 Terra Claude Fable 5.1 vs Grok 4.5 Claude Sonnet 5.5 vs GPT-6.1 Terra Claude Sonnet 5.5 vs Grok 4.5 Claude Opus 5 vs GPT-6.1 Terra Claude Opus 5 vs Grok 4.5

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.