Who ranks #1 on the Fullstackbench En leaderboard?
As of August 20, 2026, Qwen3.5-122B-A10B by Qwen ranks #1 on Fullstackbench En at 62.6%. API pricing is $0.40/M input and $3.20/M output.
As of August 20, 2026, Qwen3.5-122B-A10B is #1 for Fullstackbench En at 62.6%. Ranked by the Fullstackbench En score 3 models in this index have a published Fullstackbench En score. Fullstackbench En leaderboard: rank models by Fullstackbench En next to live API token prices.
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As of August 20, 2026, Qwen3.5-122B-A10B by Qwen is #1 for Fullstackbench En at 62.6%. Ranked by the Fullstackbench En score This board also tracks Fullstackbench En. Next on the same board: Qwen3.5-27B and Qwen3.5-35B-A3B. This fullstackbench en leaderboard ranks models by Fullstackbench En. 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 | Fullstackbench En | Input /M | Output /M |
|---|---|---|---|---|
| 1 | Qwen3.5-122B-A10B | 62.6% | $0.40 | $3.20 |
| 2 | Qwen3.5-27B | 60.1% | $0.30 | $2.40 |
| 3 | Qwen3.5-35B-A3B | 58.1% | $0.25 | $2.00 |
Rank one eval at a time. All LLM benchmarks.
As of August 20, 2026, Qwen3.5-122B-A10B by Qwen ranks #1 on Fullstackbench En at 62.6%. API pricing is $0.40/M input and $3.20/M output.
The current Fullstackbench En ranking as of August 20, 2026 is 1. Qwen3.5-122B-A10B at 62.6%; 2. Qwen3.5-27B at 60.1%; 3. Qwen3.5-35B-A3B at 58.1%.
Qwen3.5-35B-A3B is the cheapest scored model on this fullstackbench en leaderboard at $0.25/M input and $2.00/M output ($2.25 blended). Qwen3.5-122B-A10B still leads Fullstackbench En at 62.6%.
Not automatically. Qwen3.5-122B-A10B leads Fullstackbench En, but a cheaper scored model can be the better production choice if the quality gap is small. Use the table to weigh Fullstackbench En 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.
Fullstackbench En is a public LLM eval (the Fullstackbench En score). This page ranks models that have published a score, next to live API prices.
This page is the Fullstackbench En leaderboard. Models are sorted by Fullstackbench En, 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 Fullstackbench En score next to live API $/M so you can pick a production SKU, not only a trophy number.