LLM Comparison

Kimi K3 vs GPT-5.6 Terra: benchmark scores, pricing & comparison.

Side-by-side Kimi K3 vs GPT-5.6 Terra 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 #3 vs #9AskClash overall scores 82.3 vs 76.1.
Pricing $3.00/$15.0 vs $2.50/$15.0Input and output token prices per 1M tokens when published.
Open Weight vs ProprietaryMoonshot AI vs OpenAI.

Kimi K3 vs GPT-5.6 Terra benchmark comparison

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

MetricKimi K3GPT-5.6 Terra
Overall Score82.376.1
Leaderboard Rank#3#9
RWT8.5
Coding Agent Index77.0
HLE43.5
GPQA93.592.9
SWE-Pro63.4
SWE-Atlas81.0
Terminal-Bench88.387.4
DeepSWE67.569.6
MCP Atlas84.2
Finance Agent52.4
CharXiv84.8
MMMU-Pro81.680.7
ARC-AGI 283.9
Tau286.3
MRCR89.6
Input Price (per 1M tokens)$3.00$2.50
Output Price (per 1M tokens)$15.0$15.0
Context Window1M1M
Benchmarks Published913

Kimi K3 vs GPT-5.6 Terra head-to-head charts

Kimi K3 leads 4 and GPT-5.6 Terra leads 1 of 5 shared benchmarks. GPT-5.6 Terra is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

Kimi K3GPT-5.6 Terra
Overall
82.3Kimi K3
76.1GPT-5.6 Terra
GPQA
93.5Kimi K3
92.9GPT-5.6 Terra
Terminal-Bench
88.3Kimi K3
87.4GPT-5.6 Terra
DeepSWE
67.5Kimi K3
69.6GPT-5.6 Terra
MMMU-Pro
81.6Kimi K3
80.7GPT-5.6 Terra
Kimi K3
Input$3.00
Output$15.0
Workload$6.00
Context1M
GPT-5.6 Terra
Input$2.50
Output$15.0
Workload$5.50
Context1M

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

More Kimi K3 and GPT-5.6 Terra comparisons

Explore how Kimi K3 and GPT-5.6 Terra 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.