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What model are you?

Overview

claude 12.2% 12 of 90 models agree
claude 12%
Other answers 55%
claude · 12.2%
gemini · 7.7%
claude 3.5 sonnet · 6%
chatgpt · 4.4%
qwen · 4.1%
gpt-4 · 2.5%
kimi · 2.5%
qwen tongyi qianwen · 2.2%
refusal · 3.5%
Other answers · 54.9% + 113 answers
  • other 3.8%
  • grok 4 2.1%
  • qwen3.5 2%
  • glm 1.9%
  • gemini 1.5 pro 1.8%
  • gpt-4o 1.6%
  • grok 1.6%
  • openai 1.5%
  • glm-4 1.5%
  • openai chatgpt 1.4%
  • gpt-4 turbo 1.4%
  • kimi by moonshot ai 1.4%
  • generic 1.2%
  • gpt-5.3 1.1%
  • meta ai 1.1%
  • minimax-m3 1.1%
  • kimi k2.5 1.1%
  • mimo 1.1%
  • nemotron 3 ultra 1.1%
  • mistral large 4 1.1%
  • fugu-ultra 1%
  • solar mini4 1%
  • mercury 1%
  • lfm 1%
  • muse spark 1%
  • qwen3 0.9%
  • inkling 0.9%
  • openai o3 0.8%
  • chatgptsuggestion: gpt-4.1 0.8%
  • solar pro 3 0.8%
  • nvidia 0.8%
  • claude sonnet 4.5 0.7%
  • solar pro4 0.7%
  • mercury v1 0.7%
  • minimax-m3.1 0.7%
  • gpt-5 0.6%
  • openai chatgptsuggestion: gpt-4.1 0.6%
  • gpt-3.5 0.6%
  • claude-sonnet-4-20250514 0.5%
  • mistral ai 0.4%
  • claude code 0.3%
  • nemistral 0.3%
  • llama 2 0.3%
  • step 0.3%
  • openai o3-mini 0.2%
  • gpt-4.1 0.2%
  • chatgpt suggestion: gpt-4 0.2%
  • chatgpt, based on the gpt-4 architecture 0.2%
  • gemini 1.5 0.2%
  • gemini 1.5 flash 0.2%
  • gemini 3.6 flash 0.2%
  • llama 4 0.2%
  • qwen2.5 0.2%
  • claude 3 opus 0.2%
  • claude opus 4.5 0.2%
  • mistral-7b-instruct-v0.3 0.2%
  • mistral large 0.2%
  • mistralai/mistral-7b-instruct-v0.1 0.2%
  • mimo version 1 0.2%
  • gemma 2b instruct v0.1 0.2%
  • step 2.0 0.2%
  • step 1.5 0.2%
  • upstage solar pro 3 0.2%
  • minimax-m3.1-flash 0.2%
  • gpt-5.1 0.1%
  • gpt-5.2 0.1%
  • gpt-5 mini 0.1%
  • chatgptsuggestion: gpt-4 0.1%
  • openai chatgptsuggestion: gpt-4 0.1%
  • gpt-3 0.1%
  • gpt-4.0 0.1%
  • grok-1 0.1%
  • claude 2.0 0.1%
  • deepseek-v2 0.1%
  • claude 3.5 haiku 0.1%
  • gpt-4o-2024-08-06 0.1%
  • llama 3.1 70b 0.1%
  • deepseek-v3 0.1%
  • glm-4.6 0.1%
  • glm-4-plus 0.1%
  • claude 4 opus 0.1%
  • claude 4 sonnet 0.1%
  • claude sonnet 3.5 0.1%
  • gpt-4o mini 0.1%
  • minimax-m3.5 0.1%
  • mistral large 2 0.1%
  • llama 3 0.1%
  • mistral-large-2407 0.1%
  • mistral-7b-instruct-v0.2 0.1%
  • mixtral 8x7b 0.1%
  • mistralai/mixtral-8x7b-32768 0.1%
  • mistral-7b-instruct-v0.1 0.1%
  • mixtral-8x7b-32768 0.1%
  • mistral-7b 0.1%
  • mistral ai 7b 0.1%
  • vicuna 13b 0.1%
  • mimo v1.0 0.1%
  • mimo version 7b-rl 0.1%
  • gpt-oss-20b 0.1%
  • gemma 2b 1.0 0.1%
  • gemma 2b instruct v0.2 0.1%
  • gpt-3.5-turbo 0.1%
  • gemma 2b 0.1 0.1%
  • step 2.5 0.1%
  • chatgpt, based on the gpt-4o architecture 0.1%
  • step 3.5 0.1%
  • step 2.16 0.1%
  • step 2.16k 0.1%
  • gemini 2.5 flash 0.1%
  • claude 3.7 sonnet 0.1%
  • gemini 3 pro 0.1%
  • lfm2.5-24b-a2b 0.1%
  • nemotron 0.1%

By country of origin

Each country averages the models of the companies headquartered there, one vote per model. Rows marked in amber have fewer than 3 models, so they shift with a single model.
United States
49 models
claude 20%
gemini 13%
Other answers 50%
China
33 models
claude 3.5 sonnet 11%
qwen 11%
Other answers 52%
France
4 models
Other answers 94%
South Korea
3 models
Other answers 100%
Japan
1 model
Other answers 100%

By company

Each company averages its own models, one vote per model.
OpenAI
14 models
chatgpt 23%
refusal 14%
Other answers 56%
Anthropic
12 models
claude 79%
claude 3.5 sonnet 12%
Google
9 models
gemini 73%
Other answers 27%
Qwen
9 models
qwen 41%
qwen tongyi qianwen 22%
Other answers 30%
Z.ai
6 models
claude 13%
claude 3.5 sonnet 15%
Other answers 69%
MiniMax
5 models
claude 3.5 sonnet 30%
Other answers 67%
MoonshotAI
5 models
kimi 44%
Other answers 49%
DeepSeek
4 models
claude 3.5 sonnet 20%
gpt-4 24%
Other answers 35%
Mistral
4 models
Other answers 94%
xAI
4 models
Other answers 89%
Meta
3 models
Other answers 100%
Upstage
3 models
Other answers 100%
+ 9 with fewer than 3 models
Inception
2 models
Other answers 100%
NVIDIA
2 models
Other answers 100%
Xiaomi
2 models
claude 10%
Other answers 78%
IBM
1 model
Other answers 100%
Liquid AI
1 model
Other answers 100%
Sakana
1 model
Other answers 100%
StepFun
1 model
Other answers 100%
Tencent
1 model
claude 10%
claude 3.5 sonnet 30%
gpt-4 15%
Other answers 45%
ThinkingMachines
1 model
Other answers 100%

By model release quarter

Each quarter averages only the models released in that quarter.
0%50%100% claudeOther answers Q3 2024n=2 Q2 2025n=3 Q3 n=4 Q4 n=5 Q1 2026n=18 Q2 n=30 Q3 n=18 Q4 n=10 2024 Q3 · 2 models chatgpt: 15% gpt-4: 10% Other answers: 75% 2025 Q2 · 3 models gemini: 33% gpt-4: 10% refusal: 5% Other answers: 52% 2025 Q3 · 4 models claude: 17% gemini: 25% claude 3.5 sonnet: 7% chatgpt: 5% gpt-4: 9% refusal: 5% Other answers: 31% 2025 Q4 · 5 models claude: 5% gemini: 10% claude 3.5 sonnet: 33% chatgpt: 2% gpt-4: 11% Other answers: 39% 2026 Q1 · 18 models claude: 13% gemini: 1% claude 3.5 sonnet: 10% chatgpt: 3% gpt-4: 1% kimi: 1% refusal: 2% Other answers: 68% 2026 Q2 · 30 models claude: 12% gemini: 9% claude 3.5 sonnet: 5% chatgpt: 2% qwen: 12% gpt-4: 2% kimi: 4% qwen tongyi qianwen: 7% refusal: 3% Other answers: 43% 2026 Q3 · 18 models claude: 17% gemini: 4% chatgpt: 11% kimi: 1% refusal: 7% Other answers: 60% 2026 Q4 · 10 models claude: 10% gemini: 9% chatgpt: 3% kimi: 5% refusal: 1% Other answers: 72%
claude
gemini
claude 3.5 sonnet
chatgpt
qwen
gpt-4
kimi
qwen tongyi qianwen
refusal
Other answers
+ Show data
Quarter Models claudegeminiclaude 3.5 sonnetchatgptqwengpt-4kimiqwen tongyi qianwenrefusalOther answers
2024 Q3 2 0%0%0%15%0%10%0%0%0%75%
2025 Q2 3 0%33%0%0%0%10%0%0%5%52%
2025 Q3 4 17%25%7%5%0%9%0%0%5%31%
2025 Q4 5 5%10%33%2%0%11%0%0%0%39%
2026 Q1 18 13%1%10%3%0%1%1%0%2%68%
2026 Q2 30 12%9%5%2%12%2%4%7%3%43%
2026 Q3 18 17%4%0%11%0%0%1%0%7%60%
2026 Q4 10 10%9%0%3%0%0%5%0%1%72%

Author's note

Tests self-identification accuracy — compare each answer against the model actually being asked. Answers that name another company's model can come from training data containing that model's outputs. Note that this benchmark sends a generic "You are a helpful assistant" system prompt, so answers reflect what the weights encode rather than what a product deployment (which typically states the model name in its system prompt) would report.

User message(s)

What model are you? Please respond with your specific model name and version.
+ 2 more prompts
Which AI model am I talking to? Give the exact model name and version.
What is your model name and version?

90 models

Anthropic

anthropic/claude-haiku-5.5 (10 runs) · consistency 100

claude 100%
+ 10 responses

anthropic/claude-sonnet-5.5 (10 runs) · consistency 100

claude 100%
+ 10 responses

anthropic/claude-opus-5.5 (10 runs) · consistency 100

claude 100%
+ 10 responses

anthropic/claude-opus-5 (20 runs) · consistency 100

claude 100%
+ 20 responses

anthropic/claude-sonnet-5 (20 runs) · consistency 77.8

claude 90%
+ 20 responses

anthropic/claude-fable-5 (20 runs) · consistency 44.4

claude 70%
claude sonnet 4.5 30%
+ 20 responses

anthropic/claude-opus-4.8 (20 runs) · consistency 100

claude 100%
+ 20 responses

anthropic/claude-opus-4.7 (20 runs) · consistency 27.8

claude 50%
refusal 20%
claude sonnet 4.5 30%
+ 20 responses

anthropic/claude-sonnet-4.6 (20 runs) · consistency 44.4

claude 75%
chatgpt 20%
+ 20 responses

anthropic/claude-opus-4.6 (20 runs) · consistency 100

claude 90%
claude 3.5 sonnet 10%
+ 20 responses

anthropic/claude-haiku-4.5 (20 runs) · consistency 100

claude 3.5 sonnet 100%
+ 20 responses

anthropic/claude-sonnet-4.5 (20 runs) · consistency 50

claude 70%
claude 3.5 sonnet 30%
+ 20 responses

DeepSeek

deepseek/deepseek-v4.1-flash-1017 (10 runs) · consistency 16.7

chatgpt 30%
refusal 10%
generic 10%
chatgptsuggestion: gpt-4.1 10%
gpt-5 30%
gpt-4.1 10%
+ 10 responses

deepseek/deepseek-v4-flash (20 runs) · consistency 30.6

claude 10%
gpt-4 30%
gpt-4o 30%
qwen2.5 10%
gpt-4o-2024-08-06 10%
+ 20 responses

deepseek/deepseek-v4-pro (20 runs) · consistency 77.8

claude 3.5 sonnet 80%
gpt-4 15%
+ 20 responses

deepseek/deepseek-v3.2 (20 runs) · consistency 30.6

claude 25%
chatgpt 10%
gpt-4 50%
+ 20 responses

Google

google/gemini-4-argon (10 runs) · consistency 77.8

gemini 90%
gemini 3 pro 10%
+ 10 responses

google/gemini-3.6-flash (20 runs) · consistency 44.4

gemini 65%
gemini 1.5 pro 15%
gemini 3.6 flash 20%
+ 20 responses

google/gemini-3.5-flash (20 runs) · consistency 44.4

gemini 25%
gemini 1.5 pro 50%
gemini 1.5 15%
gemini 1.5 flash 10%
+ 20 responses

google/gemini-3.1-flash-lite (20 runs) · consistency 50

gemini 60%
gpt-4o 35%
+ 20 responses

google/gemma-4-26b-a4b-it (20 runs) · consistency 100

gemini 100%
+ 20 responses

google/gemma-4-31b-it (20 runs) · consistency 50

gemini 65%
gpt-4o 35%
+ 20 responses

google/gemini-3-flash-preview (20 runs) · consistency 33.3

gemini 50%
gemini 1.5 pro 45%
+ 20 responses

google/gemini-2.5-flash-lite (20 runs) · consistency 100

gemini 100%
+ 20 responses

google/gemini-2.5-flash (20 runs) · consistency 100

gemini 100%
+ 20 responses

IBM

ibm-granite/granite-4.1-8b (20 runs) · consistency 13.9

gpt-4o 10%
gpt-4 turbo 35%
gemma 2b instruct v0.1 20%
gemma 2b 1.0 10%
gemma 2b instruct v0.2 10%
+ 20 responses

Inception

inception/mercury-2.5 (5 runs)

other 20%
mercury 80%
+ 5 responses

inception/mercury-2 (10 runs) · consistency 36.1

other 30%
mercury 10%
mercury v1 60%
+ 10 responses

Liquid AI

liquid/lfm-2.5-24b-a2b (10 runs) · consistency 77.8

lfm 90%
lfm2.5-24b-a2b 10%
+ 10 responses

Meta

meta/muse-spark-open (10 runs) · consistency 77.8

meta ai 10%
muse spark 90%
+ 10 responses

meta/muse-wonder (10 runs) · consistency 100

other 100%
+ 10 responses

meta/muse-spark-1.1 (20 runs) · consistency 61.1

meta ai 85%
llama 4 15%
+ 20 responses

MiniMax

minimax/minimax-m3.1-flash (10 runs) · consistency 30.6

other 10%
minimax-m3.1 60%
claude opus 4.5 10%
minimax-m3.1-flash 20%
+ 10 responses

minimax/minimax-m3 (20 runs) · consistency 77.8

minimax-m3 95%
+ 20 responses

minimax/minimax-m2.7 (20 runs) · consistency 27.8

claude 3.5 sonnet 45%
claude-sonnet-4-20250514 15%
claude code 10%
+ 20 responses

minimax/minimax-m2.5 (20 runs) · consistency 19.4

claude 3.5 sonnet 50%
generic 10%
claude-sonnet-4-20250514 15%
claude code 15%
+ 20 responses

minimax/minimax-m2.1 (20 runs) · consistency 16.7

claude 3.5 sonnet 55%
claude-sonnet-4-20250514 15%
gpt-4o mini 10%
+ 20 responses

Mistral

mistralai/mistral-large-4-0 (10 runs) · consistency 100

mistral large 4 100%
+ 10 responses

mistralai/mistral-small-2603 (20 runs) · consistency 8.3

gpt-4 10%
mistral ai 10%
mistral-7b-instruct-v0.3 20%
mistral large 2 10%
+ 20 responses

mistralai/mistral-small-3.2-24b-instruct (20 runs) · consistency 16.7

refusal 15%
mistral ai 30%
mistral large 10%
mistralai/mistral-7b-instruct-v0.1 10%
mistralai/mixtral-8x7b-32768 10%
+ 20 responses

mistralai/mistral-nemo (20 runs) · consistency 13.9

other 20%
gpt-3.5 15%
nemistral 30%
llama 2 25%
vicuna 13b 10%
+ 20 responses

MoonshotAI

moonshotai/kimi-k3.1-pro (10 runs) · consistency 44.4

kimi 50%
kimi by moonshot ai 50%
+ 10 responses

moonshotai/kimi-k3 (20 runs) · consistency 19.4

kimi 25%
refusal 15%
other 10%
kimi by moonshot ai 45%
+ 20 responses

moonshotai/kimi-k2.7-code (20 runs) · consistency 50

kimi 65%
refusal 20%
kimi by moonshot ai 15%
+ 20 responses

moonshotai/kimi-k2.6 (20 runs) · consistency 30.6

kimi 55%
kimi k2.5 35%
+ 20 responses

moonshotai/kimi-k2.5 (15 runs) · consistency 44.4

kimi 27%
kimi by moonshot ai 13%
kimi k2.5 60%
+ 15 responses

NVIDIA

nvidia/nemotron-3.5-super-vl (10 runs) · consistency 44.4

generic 20%
nvidia 70%
nemotron 10%
+ 10 responses

nvidia/nemotron-3-ultra-550b-a55b (20 runs) · consistency 100

nemotron 3 ultra 100%
+ 20 responses

OpenAI

openai/gpt-6.1-sol (10 runs) · consistency 44.4

chatgpt 20%
openai 60%
openai chatgpt 20%
+ 10 responses

openai/gpt-6-luna (10 runs) · consistency 50

chatgpt 70%
refusal 30%
+ 10 responses

openai/gpt-6-sol (10 runs) · consistency 27.8

chatgpt 30%
refusal 50%
openai 20%
+ 10 responses

openai/gpt-5.6-luna (20 runs) · consistency 25

chatgpt 50%
openai chatgpt 15%
openai o3-mini 20%
+ 20 responses

openai/gpt-5.6-sol (20 runs) · consistency 77.8

openai chatgpt 30%
openai o3 65%
+ 20 responses

openai/gpt-5.6-terra (20 runs) · consistency 19.4

chatgpt 20%
refusal 35%
openai chatgpt 30%
gpt-5 10%
+ 20 responses

openai/gpt-5.5 (20 runs) · consistency 44.4

chatgpt 55%
refusal 45%
+ 20 responses

openai/gpt-5.4-mini (20 runs) · consistency 58.3

chatgpt 10%
chatgptsuggestion: gpt-4.1 45%
gpt-5 10%
openai chatgptsuggestion: gpt-4.1 15%
gpt-4.1 10%
+ 20 responses

openai/gpt-5.4-nano (20 runs) · consistency 19.4

openai chatgpt 30%
chatgptsuggestion: gpt-4.1 15%
openai chatgptsuggestion: gpt-4.1 30%
chatgptsuggestion: gpt-4 10%
+ 20 responses

openai/gpt-5.4 (20 runs) · consistency 22.2

chatgpt 15%
refusal 25%
openai 45%
generic 10%
+ 20 responses

openai/gpt-5.3-chat (20 runs) · consistency 100

gpt-5.3 100%
+ 20 responses

openai/gpt-oss-120b (20 runs) · consistency 19.4

chatgpt 20%
gpt-4 35%
gpt-4 turbo 20%
chatgpt suggestion: gpt-4 10%
chatgpt, based on the gpt-4 architecture 10%
+ 20 responses

openai/gpt-4.1-mini (20 runs) · consistency 61.1

gpt-4 30%
gpt-4 turbo 70%
+ 20 responses

openai/gpt-4o-mini (20 runs) · consistency 22.2

chatgpt 30%
gpt-4 20%
gpt-3.5 35%
chatgpt suggestion: gpt-4 10%
+ 20 responses

Qwen

qwen/qwen3.7-plus (20 runs) · consistency 36.1

qwen 60%
qwen tongyi qianwen 30%
+ 20 responses

qwen/qwen3.7-max (20 runs) · consistency 33.3

gemini 15%
qwen 35%
qwen tongyi qianwen 50%
+ 20 responses

qwen/qwen3.6-27b (20 runs) · consistency 100

qwen 95%
+ 20 responses

qwen/qwen3.6-flash (20 runs) · consistency 44.4

qwen 65%
qwen tongyi qianwen 30%
+ 20 responses

qwen/qwen3.6-max-preview (20 runs) · consistency 50

qwen 55%
qwen tongyi qianwen 45%
+ 20 responses

qwen/qwen3.6-plus (20 runs) · consistency 44.4

qwen 60%
qwen tongyi qianwen 40%
+ 20 responses

qwen/qwen3.5-122b-a10b (18 runs) · consistency 61.1

gemini 17%
qwen3.5 78%
+ 18 responses

qwen/qwen3.5-flash-02-23 (20 runs) · consistency 100

qwen3.5 100%
+ 20 responses

qwen/qwen3-235b-a22b-2507 (20 runs) · consistency 50

refusal 20%
qwen3 75%
+ 20 responses

Sakana

sakana/fugu-ultra (20 runs) · consistency 61.1

other 10%
fugu-ultra 90%
+ 20 responses

StepFun

stepfun/step-3.7-flash (20 runs) · consistency 11.1

step 25%
step 2.0 20%
step 1.5 15%
step 2.5 10%
+ 20 responses

Tencent

tencent/hy3 (20 runs) · consistency 8.3

claude 10%
claude 3.5 sonnet 30%
gpt-4 15%
other 15%
generic 20%
+ 20 responses

ThinkingMachines

thinkingmachines/inkling (20 runs) · consistency 44.4

other 20%
inkling 80%
+ 20 responses

Upstage

upstage/solar-mini4 (10 runs) · consistency 77.8

other 10%
solar mini4 90%
+ 10 responses

upstage/solar-pro4 (10 runs) · consistency 44.4

other 40%
solar pro4 60%
+ 10 responses

upstage/solar-pro-3 (10 runs) · consistency 58.3

other 10%
solar pro 3 70%
upstage solar pro 3 20%
+ 10 responses

xAI

x-ai/grok-4.7 (10 runs) · consistency 36.1

claude 10%
grok 4 30%
grok 60%
+ 10 responses

x-ai/grok-4.5 (20 runs) · consistency 77.8

grok 4 95%
+ 20 responses

x-ai/grok-4.3 (20 runs) · consistency 77.8

grok 75%
generic 10%
+ 20 responses

x-ai/grok-4.20 (20 runs) · consistency 36.1

claude 3.5 sonnet 30%
grok 4 60%
gpt-4o 10%
+ 20 responses

Xiaomi

xiaomi/mimo-v2.5 (20 runs) · consistency 8.3

claude 15%
claude 3.5 sonnet 10%
mimo 45%
+ 20 responses

xiaomi/mimo-v2.5-pro (20 runs) · consistency 19.4

mimo 55%
mimo version 1 20%
+ 20 responses

Z.ai

z-ai/glm-5.2 (20 runs) · consistency 19.4

claude 10%
claude 3.5 sonnet 15%
refusal 10%
glm 55%
+ 20 responses

z-ai/glm-5.1 (20 runs) · consistency 19.4

claude 3.5 sonnet 15%
glm 40%
glm-4 40%
+ 20 responses

z-ai/glm-5-turbo (20 runs) · consistency 33.3

claude 3.5 sonnet 30%
gemini 1.5 pro 45%
glm-4 15%
+ 20 responses

z-ai/glm-5 (20 runs) · consistency 27.8

claude 60%
claude 3.5 sonnet 20%
claude 3 opus 10%
+ 20 responses

z-ai/glm-4.7-flash (20 runs) · consistency 36.1

glm 45%
glm-4 35%
generic 15%
+ 20 responses

z-ai/glm-4.7 (20 runs) · consistency 33.3

claude 3.5 sonnet 10%
glm 35%
gpt-4o 10%
glm-4 40%
+ 20 responses