BenchLeader
AlibabaReasoning modelAuto-detected

Qwen3 6

Best configuration ranks #60 of 610 on the BenchLeader Index at 62.0 ±2.9 (max reasoning effort). Released 20 Apr 2026.

Blended price
$2.92/M
$1.30 in · $7.80 out
Output speed
58 tok/s
First answer
38 s
first token 2.12 s
Context
256k
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index62
  2. Agents & tools72
  3. Knowledge68
  4. Instruction following74
  5. Long context67
  6. Composite65

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. “Default” means the publisher did not say which setting was used.

EffortIndexRankSpeedFirst answerChat reply costCategories
maxbest62.0#6058 tok/s38 s$0.0029Agents & tools 72 · Composite 65 · Instruction following 74 · Knowledge 68 · Long context 67
default59.5#10147 tok/s2.12 s$0.0029Coding 58 · Human preference 66 · Knowledge 61 · Maths 64 · Reasoning 63

Benchmark results

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

Coding

BenchmarkmaxdefaultSourceTrend
SWE-bench Verified (Epoch)76.7%#9Epoch AI Benchmarking Hub
LMArena Coding1509#46LMArena
LMArena WebDev1479#45LMArena
SWE-bench (Vals)not in index72.8%#52Vals AI

Agents & tools

BenchmarkmaxdefaultSourceTrend
Terminal-Bench Hard43.9%#35Artificial Analysis
τ²-Bench Telecom (AA)not in index95.9%#16Artificial Analysis

Maths

BenchmarkmaxdefaultSourceTrend
OTIS Mock AIME91.1%#55Epoch AI Benchmarking Hub

Knowledge

BenchmarkmaxdefaultSourceTrend
SimpleQA Verified52.0%#18Epoch AI Benchmarking Hub
AA-Omniscience9.2#65Artificial Analysis
CorpFin66.5%#18Vals AI

Instruction following

BenchmarkmaxdefaultSourceTrend
IFBench76.6%#19Artificial Analysis

Human preference

BenchmarkmaxdefaultSourceTrend
LMArena Text1460#50LMArena

Long context

BenchmarkmaxdefaultSourceTrend
AA-LCR80.7%#41Artificial Analysis

Composite

BenchmarkmaxdefaultSourceTrend
Epoch Capabilities Indexnot in index149.3#48Epoch AI Benchmarking Hub
AA Intelligence Index28.4#90Artificial Analysis

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.47 tok/s2.12 s$1.03$6.16262k

Price history

Listed price per 1M tokens over time, as recorded by OpenRouter for the provider with the longest history.

$0.00$2.15$4.29$6.44$8.58Apr 26May 26Jun 26Jul 26Aug 26
input outputnow $1.03 in · $6.16 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 $0.132 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0029$0.002542.9 s
Summarise a 30-page report12,000 / 600$0.020$0.009848.0 s
Code edit6,000 / 1,500$0.019$0.0141.1 min
Agentic coding session60,000 / 4,000$0.109$0.0571.8 min
Structured extraction2,000 / 200$0.0042$0.002441.2 s

See also

Data as of 9 Sept 2026. Compare these configurations.