Who ranks #1 on the Mtvqa leaderboard?
As of August 30, 2026, Qwen2-VL-72B-Instruct by Qwen ranks #1 on Mtvqa at 30.9%. API pricing is $0.80/M input and $1.00/M output.
As of August 30, 2026, Qwen2-VL-72B-Instruct is #1 for Mtvqa at 30.9%. Ranked by the Mtvqa score 1 models in this index have a published Mtvqa score. Mtvqa leaderboard: rank models by Mtvqa next to live API token prices.
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As of August 30, 2026, Qwen2-VL-72B-Instruct by Qwen is #1 for Mtvqa at 30.9%. Ranked by the Mtvqa score This board also tracks Mtvqa. This mtvqa leaderboard ranks models by Mtvqa. 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 | Mtvqa | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen2-VL-72B-Instruct | 30.9% | $0.80 | $1.00 |
Rank one eval at a time. All LLM benchmarks.
As of August 30, 2026, Qwen2-VL-72B-Instruct by Qwen ranks #1 on Mtvqa at 30.9%. API pricing is $0.80/M input and $1.00/M output.
Qwen2-VL-72B-Instruct currently leads Mtvqa and is also the cheapest scored model on this page, at $0.80/M input and $1.00/M output ($1.80 blended).
Not automatically. Qwen2-VL-72B-Instruct leads Mtvqa, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Mtvqa 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 30, 2026. Treat it as a current index, not a one-off blog post.
Mtvqa is a public LLM eval (the Mtvqa score). This page ranks models that have published a score, next to live API prices.
This page is the Mtvqa leaderboard. Models are sorted by Mtvqa, 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 Mtvqa score next to live API $/M so you can pick a production SKU, not only a trophy number.