What's AI's go-to delayed project solution?
100 AI models, 100 simple questions, asked 3 times each. Explore all 30,000 answers.
Explore by prompt
Explore by model
Delayed project solution
A project is behind schedule. Choose exactly one option: Reduce scope, Delay launch, or Add workers. Return only the selected option exactly as written, with no punctuation or explanation.
Most common response
Reduce Scope
57.8% of the provider-balanced result.
Response distribution
3 response categoriesResult weighting of most common answer
Each of the 17 model providers has equal influence, regardless of how many models they have in the dataset.
| Model | Run 1 | Run 2 | Run 3 |
|---|---|---|---|
Claude Fable 5
anthropic/claude-fable-5
|
Reduce scope | Reduce scope | Reduce scope |
DeepSeek V4 Pro
deepseek/deepseek-v4-pro
|
Reduce scope | Reduce scope | Reduce scope |
Gemini 3.1 Pro Preview
google/gemini-3.1-pro-preview
|
Reduce scope | Reduce scope | Reduce scope |
GLM 5.2
z-ai/glm-5.2
|
Reduce scope | Reduce scope | Reduce scope |
GPT-5.6 Sol Pro
openai/gpt-5.6-sol-pro
|
Reduce scope | Reduce scope | Reduce scope |
Grok 4.5
x-ai/grok-4.5
|
Reduce scope | Reduce scope | Reduce scope |
Hy3
tencent/hy3
|
Add workers | Add workers | Add workers |
Kimi K3
moonshotai/kimi-k3
|
Reduce scope | Reduce scope | Reduce scope |
Laguna XS 2.1
poolside/laguna-xs-2.1
|
Delay launch | Delay launch | Add workers |
Ling-2.6-flash
inclusionai/ling-2.6-flash
|
Add workers | Add workers | Add workers |
Llama 4 Maverick
meta-llama/llama-4-maverick
|
Add workers | Add workers | Add workers |
MiMo-V2.5-Pro
xiaomi/mimo-v2.5-pro
|
Delay launch | Reduce scope | Add workers |
MiniMax M3
minimax/minimax-m3
|
Add workers | Reduce scope | Reduce scope |
Mistral Small 4
mistralai/mistral-small-2603
|
Add workers | Add workers | Reduce scope |
Nemotron 3 Ultra
nvidia/nemotron-3-ultra-550b-a55b
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3.7 Max
qwen/qwen3.7-max
|
Reduce scope | Reduce scope | Reduce scope |
Step 3.7 Flash
stepfun/step-3.7-flash
|
Reduce scope | Reduce scope | Reduce scope |
Claude Haiku 4.5
anthropic/claude-haiku-4.5
|
Add workers | Add workers | Add workers |
Claude Opus 4.5
anthropic/claude-opus-4.5
|
Reduce scope | Reduce scope | Reduce scope |
Claude Opus 4.6
anthropic/claude-opus-4.6
|
Reduce scope | Reduce scope | Reduce scope |
Claude Opus 4.7
anthropic/claude-opus-4.7
|
Delay launch | Delay launch | Delay launch |
Claude Opus 4.8
anthropic/claude-opus-4.8
|
Reduce scope | Reduce scope | Reduce scope |
Claude Opus 4.8 (Fast)
anthropic/claude-opus-4.8-fast
|
Delay launch | Delay launch | Delay launch |
Claude Sonnet 4
anthropic/claude-sonnet-4
|
Add workers | Add workers | Add workers |
Claude Sonnet 4.5
anthropic/claude-sonnet-4.5
|
Add workers | Add workers | Add workers |
Claude Sonnet 4.6
anthropic/claude-sonnet-4.6
|
Add workers | Add workers | Add workers |
Claude Sonnet 5
anthropic/claude-sonnet-5
|
Delay launch | Delay launch | Delay launch |
DeepSeek V3
deepseek/deepseek-chat
|
Add workers | Reduce scope | Reduce scope |
DeepSeek V3 0324
deepseek/deepseek-chat-v3-0324
|
Add workers | Add workers | Add workers |
DeepSeek V3.1
deepseek/deepseek-chat-v3.1
|
Add workers | Reduce scope | Add workers |
DeepSeek V3.1 Terminus
deepseek/deepseek-v3.1-terminus
|
Add workers | Reduce scope | Reduce scope |
DeepSeek V3.2
deepseek/deepseek-v3.2
|
Delay launch | Reduce scope | Add workers |
DeepSeek V3.2 Exp
deepseek/deepseek-v3.2-exp
|
Reduce scope | Reduce scope | Add workers |
DeepSeek V4 Flash
deepseek/deepseek-v4-flash
|
Add workers | Add workers | Delay launch |
Gemini 2.5 Flash
google/gemini-2.5-flash
|
Delay launch | Delay launch | Add workers |
Gemini 2.5 Flash Lite
google/gemini-2.5-flash-lite
|
Add workers | Add workers | Delay launch |
Gemini 2.5 Pro
google/gemini-2.5-pro
|
Reduce scope | Reduce scope | Reduce scope |
Gemini 3 Flash Preview
google/gemini-3-flash-preview
|
Reduce scope | Reduce scope | Reduce scope |
Gemini 3.1 Flash Lite
google/gemini-3.1-flash-lite
|
Reduce scope | Reduce scope | Reduce scope |
Gemini 3.1 Flash Lite Preview
google/gemini-3.1-flash-lite-preview
|
Reduce scope | Reduce scope | Reduce scope |
Gemini 3.5 Flash
google/gemini-3.5-flash
|
Reduce scope | Reduce scope | Reduce scope |
Gemma 3 27B
google/gemma-3-27b-it
|
Reduce scope | Reduce scope | Reduce scope |
Gemma 4 26B A4B
google/gemma-4-26b-a4b-it
|
Reduce scope | Reduce scope | Reduce scope |
Gemma 4 31B
google/gemma-4-31b-it
|
Reduce scope | Reduce scope | Reduce scope |
GLM 4.7
z-ai/glm-4.7
|
Delay launch | Reduce scope | Reduce scope |
GLM 4.7 Flash
z-ai/glm-4.7-flash
|
Reduce scope | Reduce scope | Reduce scope |
GLM 5
z-ai/glm-5
|
Reduce scope | Reduce scope | Reduce scope |
GLM 5.1
z-ai/glm-5.1
|
Reduce scope | Reduce scope | Reduce scope |
GPT-4.1
openai/gpt-4.1
|
Reduce scope | Reduce scope | Reduce scope |
GPT-4.1 Mini
openai/gpt-4.1-mini
|
Reduce scope | Reduce scope | Reduce scope |
GPT-4.1 Nano
openai/gpt-4.1-nano
|
Delay launch | Delay launch | Reduce scope |
GPT-4o-mini
openai/gpt-4o-mini
|
Reduce scope | Reduce scope | Reduce scope |
GPT-5
openai/gpt-5
|
Reduce scope | Reduce scope | Reduce scope |
GPT-5 Mini
openai/gpt-5-mini
|
Reduce scope | Reduce scope | Reduce scope |
GPT-5 Nano
openai/gpt-5-nano
|
Add workers | Add workers | Add workers |
GPT-5.1
openai/gpt-5.1
|
Delay launch | Reduce scope | Reduce scope |
GPT-5.2
openai/gpt-5.2
|
Reduce scope | Reduce scope | Reduce scope |
GPT-5.3-Codex
openai/gpt-5.3-codex
|
Reduce scope | Reduce scope | Reduce scope |
GPT-5.4
openai/gpt-5.4
|
Reduce scope | Reduce scope | Delay launch |
GPT-5.4 Mini
openai/gpt-5.4-mini
|
Reduce scope | Reduce scope | Reduce scope |
GPT-5.4 Nano
openai/gpt-5.4-nano
|
Add workers | Add workers | Add workers |
GPT-5.5
openai/gpt-5.5
|
Reduce scope | Reduce scope | Reduce scope |
GPT-5.6 Luna
openai/gpt-5.6-luna
|
Reduce scope | Reduce scope | Reduce scope |
GPT-5.6 Luna Pro
openai/gpt-5.6-luna-pro
|
Reduce scope | Add workers | Reduce scope |
GPT-5.6 Sol
openai/gpt-5.6-sol
|
Reduce scope | Reduce scope | Reduce scope |
GPT-5.6 Terra
openai/gpt-5.6-terra
|
Reduce scope | Reduce scope | Reduce scope |
GPT-5.6 Terra Pro
openai/gpt-5.6-terra-pro
|
Reduce scope | Reduce scope | Reduce scope |
gpt-oss-120b
openai/gpt-oss-120b
|
Delay launch | Delay launch | Add workers |
gpt-oss-20b
openai/gpt-oss-20b
|
Reduce scope | Add workers | Add workers |
Grok 4.20
x-ai/grok-4.20
|
Reduce scope | Reduce scope | Reduce scope |
Grok 4.3
x-ai/grok-4.3
|
Reduce scope | Reduce scope | Reduce scope |
Hy3 preview
tencent/hy3-preview
|
Reduce scope | Reduce scope | Reduce scope |
Kimi K2.5
moonshotai/kimi-k2.5
|
Reduce scope | Reduce scope | Delay launch |
Kimi K2.6
moonshotai/kimi-k2.6
|
Reduce scope | Reduce scope | Reduce scope |
Kimi K2.7 Code
moonshotai/kimi-k2.7-code
|
Delay launch | Delay launch | Delay launch |
Llama 3.1 8B Instruct
meta-llama/llama-3.1-8b-instruct
|
Delay launch | Reduce scope | Add workers |
Llama 3.3 70B Instruct
meta-llama/llama-3.3-70b-instruct
|
Add workers | Add workers | Add workers |
MiMo-V2.5
xiaomi/mimo-v2.5
|
Reduce scope | Reduce scope | Reduce scope |
MiniMax M2.5
minimax/minimax-m2.5
|
Add workers | Delay launch | Add workers |
MiniMax M2.7
minimax/minimax-m2.7
|
Delay launch | Delay launch | Add workers |
Mistral Nemo
mistralai/mistral-nemo
|
Reduce scope | Reduce scope | Reduce scope |
Mistral Small 3.2 24B
mistralai/mistral-small-3.2-24b-instruct
|
Reduce scope | Reduce scope | Reduce scope |
Nemotron 3 Nano 30B A3B
nvidia/nemotron-3-nano-30b-a3b
|
Delay launch | Delay launch | Delay launch |
Nemotron 3 Super
nvidia/nemotron-3-super-120b-a12b
|
Reduce scope | Reduce scope | Reduce scope |
o4 Mini
openai/o4-mini
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3 235B A22B Instruct 2507
qwen/qwen3-235b-a22b-2507
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3 30B A3B Instruct 2507
qwen/qwen3-30b-a3b-instruct-2507
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3 Coder Next
qwen/qwen3-coder-next
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3 Next 80B A3B Instruct
qwen/qwen3-next-80b-a3b-instruct
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3.5 397B A17B
qwen/qwen3.5-397b-a17b
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3.5-122B-A10B
qwen/qwen3.5-122b-a10b
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3.5-27B
qwen/qwen3.5-27b
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3.5-35B-A3B
qwen/qwen3.5-35b-a3b
|
Reduce scope | Reduce scope | Delay launch |
Qwen3.5-9B
qwen/qwen3.5-9b
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3.5-Flash
qwen/qwen3.5-flash-02-23
|
Reduce scope | Reduce scope | Delay launch |
Qwen3.6 27B
qwen/qwen3.6-27b
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3.6 35B A3B
qwen/qwen3.6-35b-a3b
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3.6 Flash
qwen/qwen3.6-flash
|
Reduce scope | Reduce scope | Reduce scope |
Qwen3.6 Plus
qwen/qwen3.6-plus
|
Delay launch | Delay launch | Reduce scope |
Qwen3.7 Plus
qwen/qwen3.7-plus
|
Delay launch | Reduce scope | Delay launch |
Dataset last updated July 18, 2026.
About
ModelBias.ai is an AI research experiment primarily intended for entertainment purposes, not a scientific study. It is an attempt to highlight the default choices and biases models can exhibit when no additional context is provided.
Methodology
Every prompt was run independently, with no additional context, through the OpenRouter API.
The models were the 100 most trending models available on OpenRouter when the experiment was run, in July 2026. Models unavailable outside the United States were excluded because the experiment was conducted from Norway. Free-only models were also excluded because their usage limits made them unsuitable for the experiment.
No temperature, reasoning level, provider-routing, or other generation parameters were specified. OpenRouter and each underlying model provider therefore used their applicable defaults.
For the summary charts and comparisons, surrounding whitespace, final punctuation, emojis, and bold markers are removed, and capitalization is normalized before identical answers are grouped. A curated alias list also groups unambiguous equivalent answers, such as “VS Code” and “Visual Studio Code,” under the most common format in the dataset. The downloadable dataset preserves every model's original output.
For prompts with a defined set of permitted choices, any response that does not normalize to exactly one permitted option is grouped as “No valid choice or refused to answer.” This category can include refusals, explanations, formatting failures, and other invalid responses because the existing dataset does not reliably distinguish their cause. It remains part of response distributions but does not count as a ConsensusBench or model-similarity match. Open-ended prompts are not classified this way.
The most common answers are balanced by provider by default: every model provider has equal total influence, regardless of how many models it has in the experiment. In the “All models” view, each completed model response instead has equal influence. Tied answers are shown jointly.
Tech Stack
This project was built with Codex using GPT-5.6 Sol.
Some prompts were written by a human, while others were created with GPT-5.6 Sol.
The backend is built in PHP using the Laravel framework. Prompts were run with the Laravel queue system.
Download the data
The complete dataset is free to download and use in your own project or research.
View and download the dataset on GitHub