Attack success rates are shares of eligible attacked cases · headline bases 4,297 to 4,638 per model · family bases 358 to 470
Model ranking
Attack success rate with 95% confidence whiskers · lower is stronger · hatched bars carry no rank · a rank requires a malformed response rate at or under 5% · ranks count the 8 ranked models only · the top 4 intervals overlap, a tie · ranks 5 to 7 overlap, a tie · ranks follow point estimates where intervals overlap
Attack family heatmap
Each cell rests on 358 to 470 eligible cases.At this width the last families sit to the right · scroll sideways for them
the remaining families sit to the right · scroll sideways
rows in overall ASR order · cells are family attack success rate in percent, rounded · the top 4 intervals overlap, a tie · ranks 5 to 7 overlap, a tie · ranks follow point estimates where intervals overlap · flagged rows carry no rank · families run by average attack success over the models carrying each family, highest first
| canary leakage | crosslingual | crypto payload | evidence positioning | frequency salience | history leakage | judge sycophancy | question pair incoherence | retrieval poisoning | threshold edge hunting | verbosity inflation | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| kimi-k3 | canary leakage 0.0% · n 420 | crosslingual 0.7% · n 420 | crypto payload 10.5% · n 420 | evidence positioning 2.3% · n 400 | frequency salience 2.4% · n 420 | history leakage 3.4% · n 411 | judge sycophancy 1.2% · n 414 | question pair incoherence 2.3% · n 399 | retrieval poisoning 82.7% · n 444 | threshold edge hunting 0.5% · n 420 | verbosity inflation 9.6% · n 470 |
| gemini-3.8-flash | canary leakage 0.0% · n 420 | crosslingual 1.7% · n 420 | crypto payload 18.8% · n 420 | evidence positioning 0.6% · n 358 | frequency salience 1.4% · n 420 | history leakage 2.2% · n 405 | judge sycophancy 0.7% · n 413 | question pair incoherence 2.0% · n 397 | retrieval poisoning 83.9% · n 448 | threshold edge hunting 0.0% · n 420 | verbosity inflation 14.7% · n 470 |
| deepseek-flash | canary leakage 0.0% · n 420 | crosslingual 2.9% · n 420 | crypto payload 12.1% · n 420 | evidence positioning 3.0% · n 396 | frequency salience 0.5% · n 420 | history leakage 0.3% · n 395 | judge sycophancy 3.6% · n 420 | question pair incoherence 1.8% · n 400 | retrieval poisoning 77.6% · n 450 | threshold edge hunting 0.0% · n 420 | verbosity inflation 26.8% · n 470 |
| jev-1.13.0 | canary leakage 0.0% · n 420 | crosslingual 15.7% · n 370 | crypto payload 3.4% · n 411 | evidence positioning 3.5% · n 396 | frequency salience 1.0% · n 420 | history leakage 0.0% · n 404 | judge sycophancy 3.3% · n 418 | question pair incoherence 0.0% · n 400 | retrieval poisoning 83.7% · n 448 | threshold edge hunting 0.5% · n 419 | verbosity inflation 20.6% · n 470 |
| grok-4 | canary leakage 1.2% · n 420 | crosslingual 13.1% · n 420 | crypto payload 39.5% · n 420 | evidence positioning 4.6% · n 372 | frequency salience 0.2% · n 420 | history leakage 3.2% · n 407 | judge sycophancy 3.4% · n 417 | question pair incoherence 1.3% · n 400 | retrieval poisoning 84.3% · n 458 | threshold edge hunting 0.2% · n 417 | verbosity inflation 17.0% · n 470 |
| gpt-5.6-luna | canary leakage 0.2% · n 418 | crosslingual 21.9% · n 420 | crypto payload 60.7% · n 420 | evidence positioning 4.3% · n 391 | frequency salience 0.2% · n 420 | history leakage 1.3% · n 376 | judge sycophancy 1.9% · n 417 | question pair incoherence 0.8% · n 400 | retrieval poisoning 76.1% · n 447 | threshold edge hunting 0.2% · n 417 | verbosity inflation 7.7% · n 469 |
| solar-pro4 | canary leakage 0.7% · n 408 | crosslingual 28.2% · n 419 | crypto payload 8.4% · n 417 | evidence positioning 2.3% · n 400 | frequency salience 2.4% · n 420 | history leakage 1.3% · n 396 | judge sycophancy 4.2% · n 408 | question pair incoherence 4.0% · n 400 | retrieval poisoning 76.5% · n 439 | threshold edge hunting 2.2% · n 404 | verbosity inflation 51.1% · n 470 |
| ling-3.0-flash-vl · no rank | canary leakage 3.8% · n 420 | crosslingual 7.4% · n 420 | crypto payload 69.3% · n 414 | evidence positioning 5.5% · n 365 | frequency salience 1.7% · n 420 | history leakage 2.9% · n 383 | judge sycophancy 4.5% · n 420 | question pair incoherence 2.3% · n 394 | retrieval poisoning 82.6% · n 459 | threshold edge hunting 1.0% · n 408 | verbosity inflation 36.7% · n 469 |
| glm-4-plus · no rank | canary leakage 1.6% · n 381 | crosslingual 53.0% · n 400 | crypto payload 14.5% · n 408 | evidence positioning 2.2% · n 401 | frequency salience 1.5% · n 398 | history leakage 3.4% · n 387 | judge sycophancy 8.6% · n 370 | question pair incoherence 0.8% · n 400 | retrieval poisoning 59.5% · n 407 | threshold edge hunting 0.5% · n 406 | verbosity inflation 73.8% · n 469 |
| MiniMax-M3 | canary leakage 3.0% · n 394 | crosslingual 42.7% · n 415 | crypto payload 34.5% · n 417 | evidence positioning 6.6% · n 391 | frequency salience 2.4% · n 419 | history leakage 2.1% · n 388 | judge sycophancy 8.9% · n 381 | question pair incoherence 4.3% · n 396 | retrieval poisoning 81.0% · n 422 | threshold edge hunting 5.2% · n 402 | verbosity inflation 40.4% · n 455 |
| ling-3.0-flash · no rank | canary leakage 1.7% · n 420 | crosslingual 17.4% · n 420 | crypto payload 78.0% · n 419 | evidence positioning 4.3% · n 374 | frequency salience 1.7% · n 419 | history leakage 2.3% · n 388 | judge sycophancy 4.3% · n 419 | question pair incoherence 1.3% · n 400 | retrieval poisoning 82.4% · n 459 | threshold edge hunting 0.7% · n 417 | verbosity inflation 44.5% · n 470 |
| qwen3-235b-a22b-2507 · no rank | canary leakage 5.7% · n 388 | crosslingual 37.8% · n 392 | crypto payload 26.3% · n 392 | evidence positioning 8.8% · n 377 | frequency salience 3.8% · n 398 | history leakage 2.7% · n 367 | judge sycophancy 15.3% · n 366 | question pair incoherence 14.7% · n 360 | retrieval poisoning 74.9% · n 419 | threshold edge hunting 7.3% · n 381 | verbosity inflation 65.6% · n 457 |
| retrieval poisoning | verbosity inflation | crypto payload | crosslingual | judge sycophancy | evidence positioning | question pair incoherence | history leakage | frequency salience | threshold edge hunting | canary leakage | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| kimi-k3 | retrieval poisoning 82.7% · n 444 | verbosity inflation 9.6% · n 470 | crypto payload 10.5% · n 420 | crosslingual 0.7% · n 420 | judge sycophancy 1.2% · n 414 | evidence positioning 2.3% · n 400 | question pair incoherence 2.3% · n 399 | history leakage 3.4% · n 411 | frequency salience 2.4% · n 420 | threshold edge hunting 0.5% · n 420 | canary leakage 0.0% · n 420 |
| gemini-3.8-flash | retrieval poisoning 83.9% · n 448 | verbosity inflation 14.7% · n 470 | crypto payload 18.8% · n 420 | crosslingual 1.7% · n 420 | judge sycophancy 0.7% · n 413 | evidence positioning 0.6% · n 358 | question pair incoherence 2.0% · n 397 | history leakage 2.2% · n 405 | frequency salience 1.4% · n 420 | threshold edge hunting 0.0% · n 420 | canary leakage 0.0% · n 420 |
| deepseek-flash | retrieval poisoning 77.6% · n 450 | verbosity inflation 26.8% · n 470 | crypto payload 12.1% · n 420 | crosslingual 2.9% · n 420 | judge sycophancy 3.6% · n 420 | evidence positioning 3.0% · n 396 | question pair incoherence 1.8% · n 400 | history leakage 0.3% · n 395 | frequency salience 0.5% · n 420 | threshold edge hunting 0.0% · n 420 | canary leakage 0.0% · n 420 |
| jev-1.13.0 | retrieval poisoning 83.7% · n 448 | verbosity inflation 20.6% · n 470 | crypto payload 3.4% · n 411 | crosslingual 15.7% · n 370 | judge sycophancy 3.3% · n 418 | evidence positioning 3.5% · n 396 | question pair incoherence 0.0% · n 400 | history leakage 0.0% · n 404 | frequency salience 1.0% · n 420 | threshold edge hunting 0.5% · n 419 | canary leakage 0.0% · n 420 |
| grok-4 | retrieval poisoning 84.3% · n 458 | verbosity inflation 17.0% · n 470 | crypto payload 39.5% · n 420 | crosslingual 13.1% · n 420 | judge sycophancy 3.4% · n 417 | evidence positioning 4.6% · n 372 | question pair incoherence 1.3% · n 400 | history leakage 3.2% · n 407 | frequency salience 0.2% · n 420 | threshold edge hunting 0.2% · n 417 | canary leakage 1.2% · n 420 |
| gpt-5.6-luna | retrieval poisoning 76.1% · n 447 | verbosity inflation 7.7% · n 469 | crypto payload 60.7% · n 420 | crosslingual 21.9% · n 420 | judge sycophancy 1.9% · n 417 | evidence positioning 4.3% · n 391 | question pair incoherence 0.8% · n 400 | history leakage 1.3% · n 376 | frequency salience 0.2% · n 420 | threshold edge hunting 0.2% · n 417 | canary leakage 0.2% · n 418 |
| solar-pro4 | retrieval poisoning 76.5% · n 439 | verbosity inflation 51.1% · n 470 | crypto payload 8.4% · n 417 | crosslingual 28.2% · n 419 | judge sycophancy 4.2% · n 408 | evidence positioning 2.3% · n 400 | question pair incoherence 4.0% · n 400 | history leakage 1.3% · n 396 | frequency salience 2.4% · n 420 | threshold edge hunting 2.2% · n 404 | canary leakage 0.7% · n 408 |
| ling-3.0-flash-vl · no rank | retrieval poisoning 82.6% · n 459 | verbosity inflation 36.7% · n 469 | crypto payload 69.3% · n 414 | crosslingual 7.4% · n 420 | judge sycophancy 4.5% · n 420 | evidence positioning 5.5% · n 365 | question pair incoherence 2.3% · n 394 | history leakage 2.9% · n 383 | frequency salience 1.7% · n 420 | threshold edge hunting 1.0% · n 408 | canary leakage 3.8% · n 420 |
| glm-4-plus · no rank | retrieval poisoning 59.5% · n 407 | verbosity inflation 73.8% · n 469 | crypto payload 14.5% · n 408 | crosslingual 53.0% · n 400 | judge sycophancy 8.6% · n 370 | evidence positioning 2.2% · n 401 | question pair incoherence 0.8% · n 400 | history leakage 3.4% · n 387 | frequency salience 1.5% · n 398 | threshold edge hunting 0.5% · n 406 | canary leakage 1.6% · n 381 |
| MiniMax-M3 | retrieval poisoning 81.0% · n 422 | verbosity inflation 40.4% · n 455 | crypto payload 34.5% · n 417 | crosslingual 42.7% · n 415 | judge sycophancy 8.9% · n 381 | evidence positioning 6.6% · n 391 | question pair incoherence 4.3% · n 396 | history leakage 2.1% · n 388 | frequency salience 2.4% · n 419 | threshold edge hunting 5.2% · n 402 | canary leakage 3.0% · n 394 |
| ling-3.0-flash · no rank | retrieval poisoning 82.4% · n 459 | verbosity inflation 44.5% · n 470 | crypto payload 78.0% · n 419 | crosslingual 17.4% · n 420 | judge sycophancy 4.3% · n 419 | evidence positioning 4.3% · n 374 | question pair incoherence 1.3% · n 400 | history leakage 2.3% · n 388 | frequency salience 1.7% · n 419 | threshold edge hunting 0.7% · n 417 | canary leakage 1.7% · n 420 |
| qwen3-235b-a22b-2507 · no rank | retrieval poisoning 74.9% · n 419 | verbosity inflation 65.6% · n 457 | crypto payload 26.3% · n 392 | crosslingual 37.8% · n 392 | judge sycophancy 15.3% · n 366 | evidence positioning 8.8% · n 377 | question pair incoherence 14.7% · n 360 | history leakage 2.7% · n 367 | frequency salience 3.8% · n 398 | threshold edge hunting 7.3% · n 381 | canary leakage 5.7% · n 388 |
Cost vs attack success rate
Log cost axis, each step right multiplies cost by ten · one point per full 4,701 case run · filled points are ranked, hollow points are flagged · a pale dot in the centre marks a lower bound cost · cheap and strong sits bottom left · the top 4 intervals overlap, a tie · ranks 5 to 7 overlap, a tie · ranks follow point estimates where intervals overlap
Malformed response rate
Fraction of the 4,701 cases with any malformed call record, benign or attacked · the admission rule for earning a rank · amber names are flagged models with no rank
Model cards
Spark bars show the 11 family ASRs in fixed order (canary leakage, crosslingual, crypto payload, evidence positioning, frequency salience, history leakage, judge sycophancy, question pair incoherence, retrieval poisoning, threshold edge hunting, verbosity inflation) on a shared 0 to 100% scale · bar fill is green on ranked cards and grey on flagged cards, apart from the orange retrieval spike · a dotted outline marks a family a model does not carry · a nonzero rate always draws at least a 1px sliver, so a missing bar is a true zero and small bars are read by their printed values · the orange spike is retrieval poisoning, bar 9 of 11 · latency and calibration are measured on the attacked runs, where lower ECE and Brier scores are better · calibration rests on the cases that reported a confidence · C·H·M is critical, high, medium · robust tax adds the benign accuracy and attacked ECE shortfalls from the best ranked runs, in points · severity flip rate confidence intervals reach about 2.7 points to one side at the widest