Who ranks #1 on the Theoremqa leaderboard?
As of August 31, 2026, Qwen2 72B Instruct by Qwen ranks #1 on Theoremqa at 44.4%. API pricing is $0.35/M input and $0.40/M output.
As of August 31, 2026, Qwen2 72B Instruct is #1 for Theoremqa at 44.4%. Ranked by the Theoremqa score 6 models in this index have a published Theoremqa score. Theoremqa leaderboard: rank models by Theoremqa next to live API token prices.
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As of August 31, 2026, Qwen2 72B Instruct by Qwen is #1 for Theoremqa at 44.4%. Ranked by the Theoremqa score This board also tracks Theoremqa. Next on the same board: Qwen2.5 32B Instruct and Qwen2.5-Coder 32B Instruct. This theoremqa leaderboard ranks models by Theoremqa. Scores come from public evals. Prices are the live API rates in the table above.
Sources: 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 | Theoremqa | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen2 72B Instruct | 44.4% | $0.35 | $0.40 |
| 2 | Qwen2.5 32B Instruct | 44.1% | $0.70 | $2.80 |
| 3 | Qwen2.5-Coder 32B Instruct | 43.1% | $0.09 | $0.09 |
| 4 | Qwen2.5 14B Instruct | 43% | $0.35 | $1.40 |
| 5 | Qwen2.5-Coder 7B Instruct | 34% | $0.30 | $0.30 |
| 6 | Qwen2 7B Instruct | 25.3% | $0.30 | $0.30 |
Rank one eval at a time. All LLM benchmarks.
As of August 31, 2026, Qwen2 72B Instruct by Qwen ranks #1 on Theoremqa at 44.4%. API pricing is $0.35/M input and $0.40/M output.
The current Theoremqa ranking as of August 31, 2026 is 1. Qwen2 72B Instruct at 44.4%; 2. Qwen2.5 32B Instruct at 44.1%; 3. Qwen2.5-Coder 32B Instruct at 43.1%.
Qwen2.5-Coder 32B Instruct is the cheapest scored model on this theoremqa leaderboard at $0.09/M input and $0.09/M output ($0.18 blended). Qwen2 72B Instruct still leads Theoremqa at 44.4%.
Not automatically. Qwen2 72B Instruct leads Theoremqa, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Theoremqa 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 31, 2026. Treat it as a current index, not a one-off blog post.
Theoremqa is a public LLM eval (the Theoremqa score). This page ranks models that have published a score, next to live API prices.
This page is the Theoremqa leaderboard. Models are sorted by Theoremqa, 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.
Official eval pages own the methodology. This page keeps the published Theoremqa score next to live API $/M so you can pick a production SKU, not only a trophy number.