qwen3-coder-plus: benchmark scores, price and ranking
qwen3-coder-plus from Alibaba ranks #390 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.0), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Alibaba
- Type
- Frontier model
- Open weights
- No
- Released
- 2025-09-23 (source: epoch)
- Cheapest API price
- $0.650 in / $3.25 out per million tokens (via openrouter, observed 2026-10-09T15:47Z)
- Aggregate rank
- #390 of 743 (score 48.0)
Across the 1 benchmark where at least ten models are scored, qwen3-coder-plus is in the top 10% on 0 and in the top half on 0.
Its cheapest listed input price, $0.650 per million tokens, is lower than that of 43% of the 427 models with a listed price.
qwen3-coder-plus benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| ALE-Bench | 456 | #61 of 79 | Epoch AI Benchmarking Hub | 2026-10-13 |
About qwen3-coder-plus
qwen3-coder-plus is a frontier model from Alibaba. It was released on 2025-09-23, according to Epoch AI. The cheapest API listing we track charges $0.650 per million input tokens and $3.25 per million output tokens, through openrouter. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where qwen3-coder-plus stands
On our aggregate score, qwen3-coder-plus is #390 of 743 ranked models, around the middle of the table. Its score is 48.0; the scale is centred on 50, so it sits 2.0 points below the typical model. That beats 48% of the ranked field. Among the 74 ranked Alibaba models it is #39. The next one up is Qwen3-Max-Instruct at 48.2. The next one down is qwen3-4b at 47.9.
qwen3-coder-plus, benchmark by benchmark
qwen3-coder-plus lands below the middle on ALE-Bench: 456, #61 of 79, with 76% of the field scoring higher. GPT-6 Astra (max) leads at 2,951; the closest result above is Qwen3-Coder-480B-A35B-Instruct at 461. It covers AtCoder heuristic-optimisation contests (performance rating). The board median is 764, so qwen3-coder-plus is 307 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-coder-plus costs more 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), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on Kimi K2.7 Code ($0.671) and Mistral Large 4 (high) ($0.680).
Release history
The Alibaba model released before it was Qwen3-Next-80B-A3B-Instruct on 2025-09-11, which scores 49.3. The next one was Qwen3-Max-Instruct on 2025-09-24, at 48.2.
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
- #387 DeepSeek-V3.1 (48.0)
- #388 DeepSeek-R1-Distill-Llama-70B (48.0)
- #389 DeepSeek-R1 (48.0)
- #391 Codex + GPT-6 Luna (48.0)
- #392 Codestral-22B-v0.1-Q4_K_M (48.0)
- #393 codestral:22b-v0.1-q8_0 (48.0)
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