Who ranks #1 on the GPQA leaderboard?
As of August 20, 2026, GPT-5.6 Sol by OpenAI ranks #1 on GPQA at 94.6%. API pricing is $5.00/M input and $30.00/M output.
As of August 20, 2026, GPT-5.6 Sol is #1 for GPQA at 94.6%. Ranked by GPQA: graduate-level science questions that resist simple search. 189 models in this index have a published GPQA score. Methodology: GPQA (GitHub) (https://github.com/idavidrein/gpqa). GPQA leaderboard with live API prices. Graduate-Level Google-Proof Q&A — expert-written questions in biology, physics, and chemistry that resist simple search. Official methodology: GPQA (GitHub) (https://github.com/idavidrein/gpqa).
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As of August 20, 2026, GPT-5.6 Sol by OpenAI is #1 for GPQA at 94.6%. Ranked by GPQA: graduate-level science questions that resist simple search. This board also tracks GPQA. Next on the same board: Claude Mythos 5 and Claude Mythos Preview. This gpqa leaderboard ranks models by GPQA. Scores come from public evals. Prices are the live API rates in the table above.
Sources: GPQA (GitHub) (https://github.com/idavidrein/gpqa); OpenAI API pricing (https://developers.openai.com/api/docs/pricing); Anthropic Claude API pricing (https://platform.claude.com/docs/en/about-claude/pricing); Gemini API pricing (https://ai.google.dev/gemini-api/docs/pricing)
| Rank | Model | GPQA | Input /M | Output /M |
|---|---|---|---|---|
| 1 | GPT-5.6 Sol | 94.6% | $5.00 | $30.00 |
| 2 | Claude Mythos 5 | 94.6% | $10.00 | $50.00 |
| 3 | Claude Mythos Preview | 94.6% | $10.00 | $50.00 |
| 4 | Gemini 3.1 Pro | 94.3% | $2.50 | $15.00 |
| 5 | Claude Opus 4.7 | 94.2% | $5.00 | $25.00 |
| 6 | Claude Opus 4.8 | 93.6% | $5.00 | $25.00 |
| 7 | GPT-5.5 | 93.6% | $5.00 | $30.00 |
| 8 | Kimi K3 | 93.5% | $3.00 | $15.00 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, GPT-5.6 Sol by OpenAI ranks #1 on GPQA at 94.6%. API pricing is $5.00/M input and $30.00/M output.
The current GPQA ranking as of August 20, 2026 is 1. GPT-5.6 Sol at 94.6%; 2. Claude Mythos 5 at 94.6%; 3. Claude Mythos Preview at 94.6%.
Llama 3.2 3B Instruct is the cheapest scored model on this gpqa leaderboard at $0.01/M input and $0.02/M output ($0.03 blended). GPT-5.6 Sol still leads GPQA at 94.6%.
Not automatically. GPT-5.6 Sol leads GPQA, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh GPQA against input/output price, context window, and related evals.
Scores and API prices on this page are refreshed from published evals and provider rates. The snapshot is labeled August 20, 2026. Treat it as a current index, not a one-off blog post.
Graduate-Level Google-Proof Q&A — expert-written questions in biology, physics, and chemistry that resist simple search. This page ranks models that have published a GPQA score, with live API token prices on the same row. Official methodology: GPQA (GitHub) (https://github.com/idavidrein/gpqa).
This page is the GPQA leaderboard. Models are sorted by GPQA, with input and output token prices on the same row so you can weigh score against cost. Official boards often omit price; that comparison is the point of this index.
The official GPQA (GitHub) page owns the methodology. This page keeps the published GPQA score next to live API $/M so you can pick a production SKU, not only a trophy number. Source: https://github.com/idavidrein/gpqa