BenchLeader

Qwen3.6 Flash

Reasoning effort

Qwen3.6 Flash is an Alibaba proprietary reasoning model, released 27 Apr 2026. Its best configuration ranks #550 of 785 on the BenchLeader Index at 44.1 ±11.6, in the lower half. The ± is the point: 554 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in reasoning (50) and lowest in knowledge (29). At $0.563 per million tokens blended it is mid-priced. Output speed of 82 tokens per second puts it slower than most, with a first token in 0.6 s. It has been measured at 2 reasoning-effort settings; this summary describes the best-scoring one, and the tabs above switch between them. Last measured 27 Apr 2026.

Blended price
$0.563/M
$0.250 in · $1.50 out
Output speed
82 tok/s
OpenRouter traffic, 7-day median; not yet measured by Artificial Analysis
First answer
0.57 s
Context
1M
Full answer
–
Cost per run
–
Released
27 Apr 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index44
  2. Reasoning50
  3. Maths43
  4. Knowledge29

Versions

Alibaba has shipped 4 models under this name. Each is ranked on its own results; a newer version often has fewer results so far, which holds its index nearer the average until more arrive.

ModelReleasedIndexRank
Qwen3.8 Flash26 Aug 2026––
Qwen3.7 Flashno reasoning27 Jul 2026––
Qwen3.6 Flashthis page27 Apr 202644.1#550
Qwen3.5 Flash25 Feb 202652.0#330

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Not stated” collects results from publishers that did not say which setting they used; for a reasoning model that is usually its thinking mode, but we do not assume it. Pick a setting here or at the top of the page to see its price, speed and category scores.

EffortIndexRankSpeedFirst answerChat reply costCategories
no reasoning––82 tok/s0.57 s$0.0006Maths 38
not statedbest44.1#55082 tok/s0.57 s$0.0006Knowledge 29 · Maths 43 · Reasoning 50

How its index has moved

8 Sept 2026 to 21 Oct 2026
334456

The index is recomputed from scratch every day, so a line moves when a new benchmark result lands, when a publisher revises a score, or when the models it is normalised against change. Early movement usually means the score is still settling.

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

Benchmarkno reasoningnot statedSourceTrend
GPQA Diamondeffort not stated–83.3%#103Epoch AI Benchmarking Hub
SimpleBencheffort not stated–35.2%#64SimpleBench
Chess Puzzlesnot in indexeffort not stated–12.0%#117Epoch AI Benchmarking Hub
Mystery Game Puzzlesnot in index18.0%#6912.0%#103Epoch AI Benchmarking Hub
LMCAnot in indexeffort not stated–31.0%#133Epoch AI Benchmarking Hub
DTBenchnot in indexeffort not stated–77.1%#142Epoch AI Benchmarking Hub

Coding

Benchmarknot statedSourceTrend
ALE-Benchnot in index326.4#114Epoch AI Benchmarking Hub

Maths

Benchmarkno reasoningnot statedSourceTrend
FrontierMath Tiers 1–322.5%#8417.2%#99Epoch AI Benchmarking Hub
OTIS Mock AIMEeffort not stated–84.4%#98Epoch AI Benchmarking Hub

Knowledge

Benchmarknot statedSourceTrend
SimpleQA Verified15.9%#78Epoch AI Benchmarking Hub

Composite

Benchmarknot statedSourceTrend
Epoch Capabilities Indexnot in index142.9#98Epoch AI Benchmarking Hub

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
Alibaba Cloud Int.63 tok/s0.59 s$0.188$1.131M–

Price history

The price above, per 1M tokens, every day it changed.

$0.00$0.413$0.825$1.24$1.65Sept 26Oct 26
input outputnow $0.250 in · $1.50 out

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.025 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0006$0.00054.2 s
Summarize a 30-page report12,000 / 600$0.0039$0.00197.9 s
Code edit6,000 / 1,500$0.0038$0.002718.9 s
Agentic coding session60,000 / 4,000$0.021$0.01149.3 s
Structured extraction2,000 / 200$0.0008$0.00053.0 s

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See also

Questions people ask

What are Qwen3.6 Flash's benchmark scores?
As of 24 Oct 2026, Qwen3.6 Flash scores 44.1 ±11.6 on the BenchLeader Index, strongest in reasoning (50) and weakest in knowledge (29). That rests on 5 independent benchmark results, and every score on this page links to its publisher.
How does Qwen3.6 Flash rank?
Qwen3.6 Flash is #550 of 785 ranked configurations on 24 Oct 2026. 554 other configurations score within its margin, so the exact position matters less than the band. The leader is Claude Opus 5.5 (max effort) at 72.6.
How much does Qwen3.6 Flash cost per 1M tokens?
As of 24 Oct 2026, Qwen3.6 Flash costs $0.250 per 1M input tokens and $1.50 per 1M output tokens, $0.563 blended (three input tokens per output token). The list price last changed on 24 Oct 2026.
When was Qwen3.6 Flash released?
Alibaba released Qwen3.6 Flash on 27 Apr 2026. BenchLeader has results for it at 2 reasoning-effort settings.

Data as of 24 Oct 2026. Compare these configurations.

Cite as: BenchLeader, “Qwen3.6 Flash: benchmarks, pricing, speed and rank”, data as of 24 Oct 2026, https://www.benchleader.com/models/qwen3-6-flash.