BonuslyBench — Final Results

103 curated models × 40 GTM tests, deterministic scoring (scorer v2, post-fix). Green = perfect pass. Click any model name to read its actual answers per test in the Response Reviewer.

CURATED SET · MAX 5/PROVIDER · GROK EXCLUDED · SNAPSHOT 2026-09-14 · 96 of 103 models at full 40/40 coverage
📖 How to review any model's work: click the model name or the green 📄 view answers button in any row — that opens the model's page in the Response Reviewer, where every test shows the correct answer (gold panel) side-by-side with the model's actual answer, plus every graded check ✓/✗.
⚖️ Ranking fairness: only the 96 models with full 40/40 coverage receive a rank. The 7 partial models (endpoint timeouts on their heaviest tests, disclosed below the ranked table) are listed after the ranked group — their means cover only completed tests and are not comparable to full-coverage means.
#ModelMeanPassCostLatCommunicationCustomer & SuccessData & CrmDeal & IntelligenceMarketingOps & MaintenanceRep & PerformanceReporting & Analytics
ceo
slack
compression
funnel
digest
paragraph
partner
digest
section
rfp
answer
from
policy
stalled
deal
followup
email
churn
save
eligibility
expansion
kit
onboarding
status
renewal
risk
conflicting
dates
ticket
theme
synthesis
crm
completeness
enrichment
gong
hubspot
join
integrity
owner
resolution
snowflake
sql
trapped
catalog
stage
hygiene
audit
call
transcript
extraction
closed
lost
classification
next
to
close
pipeline
tiering
product
gap
detection
case
study
match
channel
attribution
math
competitor
battlecard
update
nurture
sequence
diagnosis
weekly
marketing
goals
rollup
datadog
incident
timeline
feature
flag
state
summary
nda
triage
runbook
from
slack
thread
skill
file
reconciliation
activity
mix
vs
outcome
ae
qtd
scorecard
multithreading
gap
stale
pipeline
by
rep
talk
track
from
transcripts
aha
moment
2x2
arr
rollforward
reconciliation
kvm
month
over
month
q3
weighted
forecast
rewards
ytd
section
1meta/muse-spark-1.1
📄 view answers vs correct answer →open
0.97735/40$2.1740s0.800.800.860.830.80
2moonshotai/kimi-k3
📄 view answers vs correct answer →frontier
0.97636/40$7.67102s0.800.830.750.67
3xiaomi/mimo-v2.5-pro
📄 view answers vs correct answer →open
0.97436/40$0.69119s0.750.670.830.70
4meta/muse-spark-1.3
📄 view answers vs correct answer →open
0.97335/40$3.0343s0.800.750.750.830.80
5z-ai/glm-5.3-flash
📄 view answers vs correct answer →open
0.96835/40$0.28401s0.800.750.670.830.67
6tencent/hy3-preview
📄 view answers vs correct answer →open
0.96834/40$0.5982s0.800.800.750.860.670.83
7tencent/hy3
📄 view answers vs correct answer →open
0.96736/40$0.331611s0.500.600.750.83
8anthropic/claude-opus-5
📄 view answers vs correct answer →open
0.96735/40$15.91107s0.800.830.800.500.75
9google/gemini-3.8-flash
📄 view answers vs correct answer →open
0.96634/40$6.34117s0.800.800.750.670.830.80
10qwen/qwen3.8-flash
📄 view answers vs correct answer →open
0.96534/40$0.34111s0.670.800.750.830.750.80
11meta/muse-spark-1.2
📄 view answers vs correct answer →open
0.96433/40$3.6062s0.800.800.750.750.830.830.80
12z-ai/glm-5.1
📄 view answers vs correct answer →open
0.96433/40$1.99178s0.800.800.670.750.830.800.90
13qwen/qwen3.8-max-0902
📄 view answers vs correct answer →open
0.96234/40$3.88160s0.800.830.830.750.670.60
14z-ai/glm-5.3
📄 view answers vs correct answer →open
0.96033/40$6.86301s0.800.670.800.750.670.830.90
15deepseek/deepseek-v4-pro
📄 view answers vs correct answer →open
0.95933/40$1.04328s0.670.800.800.830.670.800.80
16anthropic/claude-opus-4.5
📄 view answers vs correct answer →open
0.95732/40$9.8390s0.750.800.830.800.800.800.670.83
17sakana/fugu-ultra
📄 view answers vs correct answer →open
0.95734/40$31.55410s0.800.670.800.500.670.83
18openai/gpt-5.5-pro
📄 view answers vs correct answer →frontier
0.95632/40$123.62183s0.800.800.830.800.750.860.750.67
19meituan/longcat-2.0
📄 view answers vs correct answer →open
0.95532/40$0.63245s0.800.750.830.750.750.830.600.90
20anthropic/claude-opus-4.7
📄 view answers vs correct answer →open
0.95433/40$10.7062s0.600.830.830.800.500.800.80
21google/gemini-3.7-flash
📄 view answers vs correct answer →frontier
0.95331/40$5.1483s0.800.800.750.670.750.800.830.830.90
22moonshotai/kimi-k2.7-code
📄 view answers vs correct answer →open
0.95331/40$1.571145s0.750.830.750.800.860.830.600.800.90
23qwen/qwen3.8-27b
📄 view answers vs correct answer →open
0.95332/40$1.63213s0.670.800.800.750.800.830.670.80
24openai/gpt-5.2-pro
📄 view answers vs correct answer →open
0.95231/40$97.83181s0.670.800.750.830.830.750.830.800.83
25openai/gpt-6-astra
📄 view answers vs correct answer →open
0.95234/40$19.8248s0.800.800.500.800.500.67
26deepseek/deepseek-v4-pro-0813
📄 view answers vs correct answer →open
0.94732/40$1.85110s0.800.750.830.500.750.750.670.83
27anthropic/claude-haiku-4.5
📄 view answers vs correct answer →frontier
0.94430/40$2.3459s0.830.800.830.800.750.860.750.670.670.80
28openai/gpt-5.2
📄 view answers vs correct answer →open
0.94429/40$7.35106s0.800.670.800.750.830.830.800.750.860.830.83
29qwen/qwen3.8-2.4t-a95b
📄 view answers vs correct answer →open
0.94331/40$5.20259s0.800.800.830.670.800.750.750.670.67
30openai/gpt-5.6-luna-pro
📄 view answers vs correct answer →open
0.94331/40$1.0475s0.800.750.830.800.750.860.750.670.50
31minimax/minimax-m2.1
📄 view answers vs correct answer →open
0.94231/40$0.6760s0.600.830.800.750.750.830.830.800.50
32openai/gpt-5.4-pro
📄 view answers vs correct answer →open
0.94232/40$131.87256s0.670.800.670.800.500.750.670.83
33openai/gpt-5.5
📄 view answers vs correct answer →frontier
0.94131/40$9.0637s0.800.800.670.670.670.800.750.670.83
34openai/gpt-6-astra-pro
📄 view answers vs correct answer →open
0.94132/40$43.5469s0.800.800.500.800.500.750.670.83
35anthropic/claude-sonnet-5
📄 view answers vs correct answer →open
0.94032/40$8.38115s0.800.750.600.750.750.860.600.50
36openai/gpt-5.6-sol
📄 view answers vs correct answer →frontier
0.94029/40$3.6739s0.800.750.800.800.830.800.750.800.750.860.67
37deepseek/deepseek-v4-flash-0731
📄 view answers vs correct answer →open
0.93930/40$0.0955s0.670.800.750.670.800.750.750.860.830.70
38anthropic/claude-opus-4.8
📄 view answers vs correct answer →frontier
0.93728/40$13.0677s0.800.750.830.670.830.800.750.860.830.670.800.90
39openai/gpt-5.6-sol-pro
📄 view answers vs correct answer →open
0.93731/40$7.9753s0.800.750.800.670.800.750.750.670.50
40openai/gpt-5.6-luna
📄 view answers vs correct answer →frontier
0.93630/40$0.4241s0.750.800.800.830.500.800.750.800.750.67
41deepseek/deepseek-v4-flash
📄 view answers vs correct answer →open
0.93630/40$0.20151s0.600.800.830.830.800.800.830.830.600.50
42openai/gpt-5.4-mini
📄 view answers vs correct answer →frontier
0.93530/40$3.2172s0.830.750.800.750.800.750.800.500.830.60
43xiaomi/mimo-v2.5
📄 view answers vs correct answer →open
0.93230/40$0.2763s0.800.750.830.670.800.750.750.830.600.50
44openai/gpt-5.1
📄 view answers vs correct answer →open
0.93130/40$4.83115s0.670.830.600.750.670.750.710.830.830.60
45openai/gpt-5-pro
📄 view answers vs correct answer →open
0.92729/40$93.00355s0.800.670.600.800.750.670.750.800.750.670.83
46meta/muse-glimmer-30b
📄 view answers vs correct answer →open
0.92530/40$0.9898s0.670.800.800.750.830.750.750.830.80
47openai/gpt-5.4-nano
📄 view answers vs correct answer →open
0.92427/40$1.04117s0.670.800.830.750.800.860.750.330.830.800.800.900.83
48stepfun/step-3.5-flash
📄 view answers vs correct answer →open
0.92329/40$0.45166s0.800.750.670.750.800.860.750.830.830.400.50
49minimax/minimax-m2.5
📄 view answers vs correct answer →open
0.92328/40$0.44594s0.800.600.830.750.800.750.830.670.750.830.800.50
50openai/gpt-5.6-terra
📄 view answers vs correct answer →frontier
0.92027/40$3.6727s0.800.670.600.800.800.670.670.800.750.800.800.800.83
51inclusionai/ling-3.0-flash
📄 view answers vs correct answer →open
0.91928/40$0.0649s0.670.670.800.830.800.800.750.400.800.860.600.80
52stepfun/step-3.7-flash
📄 view answers vs correct answer →open
0.91928/40$0.791536s0.670.750.800.250.830.800.750.860.830.830.600.80
53openai/gpt-5
📄 view answers vs correct answer →open
0.91628/40$6.21131s0.800.670.800.800.750.670.800.750.670.830.600.50
54thinkingmachines/inkling
📄 view answers vs correct answer →open
0.91627/40$3.1347s0.670.750.800.500.670.800.750.800.800.860.830.600.80
55openai/gpt-5.6-terra-pro
📄 view answers vs correct answer →open
0.91526/40$7.9841s0.800.670.750.800.800.830.670.800.750.750.750.830.900.50
56minimax/minimax-m2
📄 view answers vs correct answer →open
0.91428/40$1.1959s0.600.800.500.830.750.800.750.750.830.830.800.30
57upstage/solar-pro4
📄 view answers vs correct answer →open
0.91329/40$0.0554s0.800.830.800.670.800.800.830.800.700.50
58openai/gpt-chat-latest
📄 view answers vs correct answer →open
0.90829/40$3.77120s0.800.800.500.800.750.600.750.250.670.900.50
59tencent/hy4-preview
📄 view answers vs correct answer →open
0.90629/40$1.731548s0.330.800.750.830.800.750.800.860.500.83
60qwen/qwen3.7-flash
📄 view answers vs correct answer →open
0.90627/40$0.0883s0.670.800.830.600.750.830.750.800.800.500.800.600.50
61openai/gpt-5-mini
📄 view answers vs correct answer →open
0.90531/40$1.04120s0.670.800.250.670.750.330.600.800.33
62bytedance-seed/seed-2.0-mini
📄 view answers vs correct answer →open
0.90027/40$0.12118s0.670.670.830.800.750.830.500.500.800.500.830.800.50
63google/gemma-4-31b-it
📄 view answers vs correct answer →open
0.89025/40$0.16516s0.670.750.800.800.500.170.830.750.800.800.750.750.830.600.80
64bytedance-seed/seed-1.6
📄 view answers vs correct answer →open
0.88928/40$0.71116s0.800.750.670.800.750.200.800.500.670.330.800.50
65minimax/minimax-m3
📄 view answers vs correct answer →open
0.87826/40$0.622415s0.750.800.750.330.800.750.860.750.830.800.800.90
66aion-labs/aion-3.0-mini
📄 view answers vs correct answer →open
0.87428/40$1.29194s0.600.670.670.670.800.800.830.500.330.600.50
67arcee-ai/trinity-large-thinking
📄 view answers vs correct answer →open
0.87326/40$0.6874s0.800.670.400.750.830.670.800.750.800.500.670.600.600.10
68inception/mercury-2.5-preview
📄 view answers vs correct answer →open
0.86827/40$0.1023s0.830.750.600.750.170.170.800.600.500.830.800.400.50
69deepseek/deepseek-v3.2
📄 view answers vs correct answer →open
0.86323/40$0.97220s0.800.600.750.400.500.830.670.250.750.750.800.750.600.860.830.500.90
70google/gemini-3-pro-image
📄 view answers vs correct answer →open
0.86325/40$3.8066s0.800.670.800.800.800.830.600.800.750.750.670.170.600.50
71poolside/laguna-xs-2.1
📄 view answers vs correct answer →open
0.85420/40$0.36623s0.800.670.800.830.800.500.670.830.830.600.600.800.800.750.830.830.800.600.300.50
72aion-labs/aion-2.0
📄 view answers vs correct answer →open
0.85326/40$0.76125s0.330.800.330.800.800.750.800.750.830.830.600.50
73thinkingmachines/inkling-small
📄 view answers vs correct answer →open
0.85123/40$0.8958s0.670.750.670.670.750.670.830.800.800.750.500.250.750.800.600.80
74google/gemma-4-26b-a4b-it
📄 view answers vs correct answer →open
0.84520/40$0.111002s0.670.800.750.800.800.170.830.800.750.800.500.800.750.750.830.800.800.900.50
75openai/gpt-5-nano
📄 view answers vs correct answer →open
0.79417/40$0.35106s0.670.800.830.600.500.830.750.800.500.750.600.800.670.830.750.830.800.330.600.600.400.50
76mistralai/devstral-2512
📄 view answers vs correct answer →open
0.79116/40$0.6930s0.600.670.400.830.750.750.800.750.330.670.600.750.800.800.800.750.200.830.750.500.600.600.600.50
77nvidia/nemotron-3.5-lightning
📄 view answers vs correct answer →open
0.78516/40$0.3222s0.800.670.670.400.830.750.800.750.330.670.500.800.750.800.750.500.860.750.830.600.600.500.50
78inception/mercury-2
📄 view answers vs correct answer →open
0.78419/40$0.82746s0.670.500.400.500.330.800.250.750.800.750.800.750.500.430.330.750.830.800.800.300.33
79openai/o4-mini
📄 view answers vs correct answer →open
0.77218/40$1.7653s0.800.670.800.830.750.600.250.330.800.800.500.800.750.800.750.330.330.200.800.500.50
80mistralai/ministral-14b-2512
📄 view answers vs correct answer →open
0.75519/40$0.4365s0.800.670.800.830.750.800.500.170.330.600.750.600.750.800.670.330.330.200.50
81inclusionai/ling-3.0-flash-fin
📄 view answers vs correct answer →open
0.74517/40$0.15727s0.670.800.830.500.600.250.170.830.600.500.750.400.800.800.860.600.830.330.170.600.200.200.50
82mistralai/ministral-3b-2512
📄 view answers vs correct answer →open
0.74116/40$0.2271s0.800.670.600.330.500.600.500.670.830.600.500.600.750.800.800.800.670.170.670.600.600.100.50
83mistralai/mistral-medium-3-5
📄 view answers vs correct answer →open
0.73815/40$1.49873s0.600.670.200.750.600.800.500.800.750.500.800.800.500.860.200.500.250.830.600.830.800.600.300.50
84nvidia/nemotron-3-nano-30b-a3b
📄 view answers vs correct answer →open
0.72815/40$0.73133s0.670.800.500.750.600.500.670.600.250.250.750.800.800.750.800.800.750.330.800.830.600.50
85openai/o3
📄 view answers vs correct answer →open
0.71517/40$4.1343s0.800.670.600.750.750.600.170.800.500.200.750.800.750.200.500.330.800.830.200.60
86mistralai/mistral-small-2603
📄 view answers vs correct answer →open
0.71110/40$0.139s0.800.670.800.830.750.750.600.750.170.830.670.600.750.800.500.750.800.600.750.860.200.670.750.170.800.330.200.400.400.50
87meta-llama/llama-4-maverick
📄 view answers vs correct answer →open
0.69914/40$0.24151s0.670.800.830.750.600.330.670.600.500.800.250.750.800.800.800.860.800.170.330.200.800.500.33
88amazon/nova-premier-v1
📄 view answers vs correct answer →open
0.69816/40$10.09102s0.800.200.750.600.670.330.600.500.800.250.800.750.750.570.800.500.750.330.170.200.300.50
89meta-llama/llama-3.3-70b-instruct
📄 view answers vs correct answer →open
0.68316/40$0.0575s0.800.670.600.670.500.200.800.670.330.200.600.750.200.600.800.400.500.830.600.60
90upstage/solar-pro-3
📄 view answers vs correct answer →open
0.64513/40$0.69182s0.400.670.800.500.500.400.330.670.800.250.800.750.750.750.400.500.800.330.500.170.400.500.83
91amazon/nova-pro-v1
📄 view answers vs correct answer →open
0.6199/40$4.8148s0.600.170.250.250.200.800.250.330.500.500.800.800.250.800.250.750.800.800.800.500.800.500.750.170.800.330.800.400.300.50
92ibm-granite/granite-4.0-h-micro
📄 view answers vs correct answer →open
0.1240/40$0.002s0.600.330.670.170.170.500.200.250.200.500.250.170.200.400.200.17
93minimax/minimax-m2-her
📄 view answers vs correct answer →open
0.1240/40$0.0068s0.600.330.670.170.170.500.200.250.200.500.250.170.200.400.200.17
94thedrummer/cydonia-24b-v4.1
📄 view answers vs correct answer →open
0.1240/40$0.0046s0.600.330.670.170.170.500.200.250.200.500.250.170.200.400.200.17
95kwaipilot/kat-coder-pro-v2
📄 view answers vs correct answer →open
0.1110/40$0.0028s0.600.330.670.170.170.500.200.250.200.500.250.200.200.20
96kwaipilot/kat-coder-pro-v2.5
📄 view answers vs correct answer →open
0.1110/40$0.008s0.600.330.670.170.170.500.200.250.200.500.250.200.200.20
poolside/laguna-s-2.1
📄 view answers vs correct answer →openpartial · 39/40
0.939 (partial)33/39$0.27173s0.330.600.670.750.670.60
ibm-granite/granite-4.2-8b
📄 view answers vs correct answer →openpartial · 39/40
0.912 (partial)24/39$0.36310s0.800.670.830.800.800.750.830.750.750.800.830.830.800.800.50
aion-labs/aion-3.0
📄 view answers vs correct answer →openpartial · 39/40
0.904 (partial)32/39$3.54913s0.800.200.670.800.80
z-ai/glm-5v-turbo
📄 view answers vs correct answer →openpartial · 36/40
0.967 (partial)31/36$1.81154s0.800.750.800.670.80
z-ai/glm-5-turbo
📄 view answers vs correct answer →openpartial · 31/40
0.966 (partial)27/31$1.21141s0.800.800.750.60
nex-agi/nex-n2-mini
📄 view answers vs correct answer →openpartial · 28/40
0.945 (partial)23/28$0.061445s0.800.330.670.750.90
nex-agi/nex-n2-pro
📄 view answers vs correct answer →openpartial · 14/40
0.929 (partial)10/14$0.052298s0.670.830.750.75