SimpleQA
We haven't written a description for this benchmark yet; see the card notes below for how each maker ran it.
- ModelScoreYour cost / mo
- 1Gemini 2.5 Pro · Googlebest value54.0%
- 2GPT-4.1 · OpenAI41.6%
- 3Gemini 2.5 Flash · Googlebest value26.9%
- 4GPT-4.1 Mini · OpenAI16.8%
- 5Gemini 2.5 Flash-Lite · Googlebest value10.7%
- 6GPT-4o Mini · OpenAI9.5%
“Best value”: no other model here reports a higher score at a lower cost for your workload. Scores are self-reported by each maker with different settings, so treat close calls as ties.
How each maker reported it
- Gemini 2.5 Pro p.5–6
Results as of June 2025, as published in Google's model card. Single-attempt pass@1. Competitor figures are providers' own numbers as listed by Google; Claude 4 Opus is 32K thinking. Aider Polyglot uses diff-fenced for 2.5 Pro and diff for the others. MRCR v2 for Claude 4 Opus is with no thinking.
- GPT-4.1 openai/simple-evals README; Prompting Guide §1
OpenAI's simple-evals results (zero-shot chain-of-thought, system prompt "You are a helpful assistant."). MATH is MATH-500 for models released on or after o1; OpenAI considers MGSM and DROP saturated for newer models. The repo stopped adding results in July 2025. SWE-bench Verified is OpenAI's own agentic harness result from the prompting guide.
- Gemini 2.5 Flash p.5–6
Results as of May 2025 for Gemini 2.5 Flash GA with thinking, as published in Google's model card. Competitor figures are as listed by Google; Claude 3.7 Sonnet uses 64K extended thinking where available, Grok 3 Beta extended thinking. MRCR v2 here is the earlier (non 8-needle) version. Aider Polyglot and SWE-bench rows are left out because their columns are ambiguous in the PDF text.
- GPT-4.1 Mini openai/simple-evals README
OpenAI's simple-evals results (zero-shot chain-of-thought, system prompt "You are a helpful assistant."). MATH is MATH-500 for models released on or after o1; OpenAI considers MGSM and DROP saturated for newer models. The repo stopped adding results in July 2025.
- Gemini 2.5 Flash-Lite p.5
Results for the 06-17 release (the stable model) as of June 2025, as published in Google's model card. Results for the shut-down 09-2025 preview are left out.
- GPT-4o Mini openai/simple-evals README; GPT-4o System Card Tables 8–10, p.24–25
OpenAI's simple-evals results (zero-shot chain-of-thought, system prompt "You are a helpful assistant."). MATH is MATH-500 for models released on or after o1; OpenAI considers MGSM and DROP saturated for newer models. The repo stopped adding results in July 2025. Language rows are 0-shot accuracy from the GPT-4o System Card (translated ARC-Easy, translated TruthfulQA, Uhura-Eval). GPT-4o values: simple-evals uses the gpt-4o-2024-05-13 snapshot; the system card does not name a snapshot.
Only each model's own maker's number is shown; scores a maker reports for rival models are left out.