Who ranks #1 on the Voicebench Avg leaderboard?
As of August 31, 2026, Inkling-Small by Thinking Machines ranks #1 on Voicebench Avg at 90.1%. API pricing is $0.30/M input and $1.20/M output.
As of August 31, 2026, Inkling-Small is #1 for Voicebench Avg at 90.1%. Ranked by the Voicebench Avg score 2 models in this index have a published Voicebench Avg score. Voicebench Avg leaderboard: rank models by Voicebench Avg next to live API token prices.
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As of August 31, 2026, Inkling-Small by Thinking Machines is #1 for Voicebench Avg at 90.1%. Ranked by the Voicebench Avg score This board also tracks Voicebench Avg. Next on the same board: Qwen2.5-Omni-7B. This voicebench avg leaderboard ranks models by Voicebench Avg. 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 | Voicebench Avg | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Inkling-Small | 90.1% | $0.30 | $1.20 |
| 2 | Qwen2.5-Omni-7B | 74.1% | $0.10 | $0.40 |
Rank one eval at a time. All LLM benchmarks.
As of August 31, 2026, Inkling-Small by Thinking Machines ranks #1 on Voicebench Avg at 90.1%. API pricing is $0.30/M input and $1.20/M output.
The current Voicebench Avg ranking as of August 31, 2026 is 1. Inkling-Small at 90.1%; 2. Qwen2.5-Omni-7B at 74.1%.
Qwen2.5-Omni-7B is the cheapest scored model on this voicebench avg leaderboard at $0.10/M input and $0.40/M output ($0.50 blended). Inkling-Small still leads Voicebench Avg at 90.1%.
Not automatically. Inkling-Small leads Voicebench Avg, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Voicebench Avg 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.
Voicebench Avg is a public LLM eval (the Voicebench Avg score). This page ranks models that have published a score, next to live API prices.
This page is the Voicebench Avg leaderboard. Models are sorted by Voicebench Avg, 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 Voicebench Avg score next to live API $/M so you can pick a production SKU, not only a trophy number.