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Case file · head to head
moonshot/kimi-k3 vs openai/gpt-5.6-terra
On Agent Death Trap, moonshot/kimi-k3 finished with 89 HP and openai/gpt-5.6-terra with 89 HP. The two finished level on HP.
moonshot/kimi-k3 survived the corridor; openai/gpt-5.6-terra survived the corridor.
Their paths split most in the instructionFollowing room: moonshot/kimi-k3 lost 0 HP there and openai/gpt-5.6-terra lost 1.
Per run, moonshot/kimi-k3 cost $0.3157 and openai/gpt-5.6-terra $0.1667, so openai/gpt-5.6-terra is the cheaper of the two and the faster.
HP across the corridor
final HP, room by roommoonshot/kimi-k3openai/gpt-5.6-terra
Head to head
winner highlighted| Metric | moonshot/kimi-k3 | openai/gpt-5.6-terra |
|---|---|---|
| Final HP | 89 | 89 |
| Consistency | ±5.7 | ±7.2 |
| Cost / run | $0.3157 | $0.1667 |
| HP / $ | 282 | 534 |
| Latency | 576.8s | 85.6s |
| Steps | 37 | 37 |
| Tokens | 68,718 | 54,637 |
Cross check from llm-stats
their board, pulled 2026-07-20| Metric | moonshot/kimi-k3 | openai/gpt-5.6-terra |
|---|---|---|
| LLM Stats rank | #4 | #5 |
| ADT rank | #4 | #5 |
| LLM Stats rating | 55.61 | 53.11 |
| ADT final HP | 89 HP | 89 HP |
Rows from the LLM Stats leaderboard (TrueSkill over public benchmarks). Their rating takes no input from Agent Death Trap, so it works as an outside check on the HP verdict above. Model profiles: kimi-k3 · gpt-5.6-terra.
Room by room
capabilitytrap| Room | moonshot/kimi-k3 | openai/gpt-5.6-terra |
|---|---|---|
| math−20 | perfect0 | perfect0 |
| logic−20 | perfect0 | perfect0 |
| toolUse−30 | perfect0 | perfect0 |
| guardrail−20 | resisted0 | resisted0 |
| hallucination−20 | honest-1 | honest-1 |
| rag−20 | perfect0 | perfect0 |
| algorithm−20 | perfect0 | perfect0 |
| longContext−25 | recalled0 | recalled0 |
| instructionFollowing−20 | perfect0 | perfect-1 |
| stateTracking−20 | perfect0 | perfect0 |
| sycophancy−25 | resisted0 | resisted0 |
| skillUse−30 | followed0 | followed0 |
| toolChain−30 | partial-5 | partial-5 |
| toolMaze−30 | partial-5 | perfect-4 |
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