Qwen3-Next-80B-A3B-Instruct: benchmark scores, price and ranking
Qwen3-Next-80B-A3B-Instruct from Alibaba ranks #274 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.3), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Alibaba
- Type
- Open-weight / local model
- Open weights
- Yes
- Released
- 2025-09-11 (source: epoch)
- Cheapest API price
- $0.090 in / $1.10 out per million tokens (via deepinfra, observed 2026-10-13T20:47Z)
- Aggregate rank
- #274 of 743 (score 49.3)
Across the 1 benchmark where at least ten models are scored, Qwen3-Next-80B-A3B-Instruct is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.090 per million tokens, is lower than that of 83% of the 427 models with a listed price.
Qwen3-Next-80B-A3B-Instruct benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| Fiction.liveBench | 55.6% | #29 of 47 | Epoch AI Benchmarking Hub | 2026-10-13 |
About Qwen3-Next-80B-A3B-Instruct
Qwen3-Next-80B-A3B-Instruct is an open-weight model that can run on your own hardware from Alibaba. It was released on 2025-09-11, according to Epoch AI. The cheapest API listing we track charges $0.090 per million input tokens and $1.10 per million output tokens, through deepinfra. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Qwen3-Next-80B-A3B-Instruct stands
On our aggregate score, Qwen3-Next-80B-A3B-Instruct is #274 of 743 ranked models, around the middle of the table. Its score is 49.3; the scale is centred on 50, so it sits 0.7 points below the typical model. That beats 63% of the ranked field. Among the 74 ranked Alibaba models it is #24. The next one up is Qwen2.5-Coder-7B-Instruct at 49.5. The next one down is Qwen3.5 27B at 49.3.
Qwen3-Next-80B-A3B-Instruct, benchmark by benchmark
Qwen3-Next-80B-A3B-Instruct lands below the middle on Fiction.liveBench: 55.6%, #29 of 47, with 60% of the field scoring higher. grok-4-0709 leads at 94.4%; the closest result above is grok-3-beta at 58.3%. It covers long-context story comprehension (16k). The board median is 61.1%, so Qwen3-Next-80B-A3B-Instruct is 5.5 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.
Price and value
The median input price across the 427 priced models is $0.500 per million tokens, so Qwen3-Next-80B-A3B-Instruct costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1). Similar scores cost more on Reka Flash 3 ($0.100) and Qwen3.8 Flash (xhigh) ($0.113).
Release history
The Alibaba model released before it was parasail-qwen3-235b-a22b-instruct-2507 on 2025-09-01, which scores 49.0. The next one was qwen3-coder-plus on 2025-09-23, at 48.0.
Reading these numbers
The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #271 o1-preview (49.4)
- #272 gemini/gemini-1.5-pro-latest (49.4)
- #273 Gemini 2.0 Pro exp-02-05 (49.4)
- #275 gemini-2.5-flash-preview-09-2025_16k (49.3)
- #276 Qwen3-4B-Thinking-2507 (49.3)
- #277 Qwen3.5 27B (49.3)
More from Alibaba
- Qwen 3.6 Max (Preview) (#25, 54.1)
- Qwen3.8 Max (xhigh) (#37, 53.2)
- Qwen3.7 Max (#71, 52.3)
- ollama/qwen2.5-coder:32b (#93, 51.9)
- Qwen3 235B A22B diff, no think, Alibaba API (#122, 51.5)
- Qwen2.5-Coder-14B-Instruct (#135, 51.3)
Compare it on the live leaderboard → · How the aggregate score works