Alibaba (Qwen)

Qwen3.6 Plus

Type
language model
Context
1,000K tokens
Max output
66K
Released
2 April 2026
API string
qwen/qwen3.6-plus
Weights
open

Prices by provider

Provider Input, $ per 1M Output, $ per 1M In our data since
Merge Gateway $0.276 $1.651 31 Jul 2026
AIHubMix $0.28 $1.69 31 Jul 2026
CrossModel $0.32 $1.88 31 Jul 2026
Kilo Code $0.325 $1.95 31 Jul 2026
OpenRouter $0.325 $1.95 31 Jul 2026
Pioneer $0.325 $1.95 31 Jul 2026
opencode-go $0.5 $3 31 Jul 2026
alibaba-cn $0.5 $3 31 Jul 2026
Alibaba (Qwen) $0.5 $3 31 Jul 2026
EmpirioLabs AI $0.5 $3 31 Jul 2026
LLM Gateway $0.5 $3 31 Jul 2026
OpenCode Zen $0.5 $3 31 Jul 2026
OrcaRouter $0.5 $3 31 Jul 2026
Together AI $0.5 $3 31 Jul 2026
Vercel $0.5 $3 31 Jul 2026
ZenMux $0.5 $3 31 Jul 2026
hyper $2 $6 31 Jul 2026

Only the base tier and only per-token prices are shown. Batch, discounted and cached rates, as well as prices per image or per second of video, do not go into this table: they cannot stand in the same column as a price per million tokens.

The date in the last column is the day this price first entered our collection. The price may well be older: before that day we simply were not recording it. It has not changed since — otherwise a new row with a new date would stand in its place.

Measurement results

Task set Result Run conditions Measured by
Arena Score, programming 1,465.74 1,459–1,472 — —
Arena Score, web development 1,457.86 1,452–1,464 — —
Arena Score, expert questions 1,457.59 1,448–1,467 — —
Arena Score, mathematics 1,450.87 1,439–1,463 — —
Arena Score in French 1,450.58 1,434–1,467 — —
Arena Score, hard prompts 1,448.32 1,443–1,453 — —
Arena Score in English 1,445.67 1,440–1,451 — —
Arena Score, multi-turn dialogue 1,440.5 1,433–1,448 — —
Arena Score, long queries 1,439.21 1,433–1,445 — —
Arena Score, overall 1,436.76 1,433–1,441 — —
Arena Score in Russian 1,435.31 1,426–1,445 — —
Arena Score in Spanish 1,432.89 1,416–1,450 — —
Arena Score, instruction following 1,424.94 1,419–1,431 — —
Arena Score, creative writing 1,403.57 1,395–1,412 — —
Mock AIME 2024–2025 — olympiad problems 90.55 % · with a tuned harness Epoch evaluations
GPQA Diamond — graduate-level questions 83.17 % · with a tuned harness Epoch evaluations
SWE-bench Verified — fixing bugs in repositories 57.85 % · with a tuned harness Epoch evaluations
SimpleQA Verified — factual accuracy 49.1 % — Epoch evaluations
Chess puzzles 11.79 % — Epoch evaluations
CritPt — physics problems 2.86 % — —